A method, device and medium for processing abnormal noise of a vehicle power assembly bearing

Abstract

The application discloses a kind of processing method, equipment and medium of vehicle power assembly bearing abnormal sound, it is related to vehicle sound and vibration control technical field, comprising: executing standard condition, generating reference frequency band, reference segment value and reference coherent mean, local scanning generates shell area, suspension area, frame area and peak point, obtain orifice group and orifice sequence, write down line reference record;Generate recurrence condition, calculate current segment value, current coherent mean and segment deviation, sort to form candidate segment sequence;Implement local reversible disturbance and calculate disturbance reduction, compare disturbance reduction and disturbance threshold, generate dominant segment, positioning point and target boundary;Call dominant segment, positioning point and target boundary, generate and install permanent sound insulation piece, recalculate current segment value, current coherent mean and segment deviation, execute return determination, write in maintenance reference, realize screening focus, disposal pertinence enhancement is enhanced, front and back retest caliber is unified and maintenance result is traceable.

Description

Technical Field

[0001] This invention relates to the field of vehicle noise and vibration control technology, and in particular to a method, equipment, and medium for treating abnormal noise in vehicle powertrain bearings. Background Technology

[0002] Abnormal noise from vehicle powertrain bearings involves the coupling relationship between structural vibration, transmission path, and cabin acoustic response. Conventional methods typically involve setting up vibration and acoustic measurement points under full vehicle road testing or bench conditions, combined with spectrum analysis, operating condition reproduction, and regional investigation to identify the path locations such as bearing housing, suspension connection parts, frame connection areas, front bulkhead, and floor. Based on the test results, sound insulation, damping, or local repair treatments are implemented.

[0003] However, conventional methods still have two limitations in application. On the one hand, the reproduction of abnormal noises relies heavily on complaint descriptions and on-site experience, and it is not easy to unify the working condition boundaries, measuring point diameters, and screening benchmarks, resulting in insufficient consistency between pre- and post-tests. On the other hand, the transmission link and cockpit amplification path often lack segmented comparison and local reversible verification, making it difficult to effectively converge the dominant contributing part and the processing boundary, which affects the pertinence of the treatment and the efficiency of verification. Summary of the Invention

[0004] In view of the aforementioned existing problems, the present invention is proposed.

[0005] Therefore, the present invention provides a method for dealing with abnormal noise in vehicle powertrain bearings, which solves the problems of insufficient operating condition reproduction capability and difficulty in converging the screening range of abnormal noise transmission paths in the prior art.

[0006] To solve the above-mentioned technical problems, the present invention provides the following technical solution: In a first aspect, the present invention provides a method for handling abnormal noise from a vehicle powertrain bearing, comprising: executing a standard operating condition, generating a reference frequency band, a reference segment value, and a reference coherent mean value; locally scanning to generate a housing area, a mounting area, a frame area, and peak points; acquiring a group of orifices and an orifice sequence; and writing them into an offline reference record; retrieving the offline reference record, generating a reproducible operating condition, acquiring the current signals from five fixed measuring points, calculating the current segment value, the current coherent mean value, and the segment deviation, generating a segment deviation threshold, and sorting them to form a candidate segment sequence; retrieving the reproducible operating condition, the candidate segment sequence, and the offline reference record, generating a verification list, implementing a local reversible disturbance and calculating the disturbance reduction amplitude, comparing the disturbance reduction amplitude and the disturbance threshold, and generating a dominant segment, a positioning point, and a target boundary; retrieving the dominant segment, the positioning point, and the target boundary, generating and installing a permanent sound insulation component, acquiring retest signals from five fixed measuring points, recalculating the current segment value, the current coherent mean value, and the segment deviation, performing a regression judgment, and writing it into a maintenance reference.

[0007] As a preferred embodiment of the method for handling abnormal noise in the vehicle powertrain bearings described in this invention, the local scanning to generate the housing area, suspension area, frame area, and peak point includes: setting up five fixed measuring points, performing standard operating conditions, acquiring the original signals from the five fixed measuring points, performing spectrum processing and frequency band calculation on the original signals from the five fixed measuring points to generate a reference frequency band, a reference segment value, and a reference coherence mean value; performing a local scan on the reference frequency band, performing grid measurement on the areas where the housing measuring points, passive measuring points, and frame measuring points are located to generate the housing area, suspension area, frame area, and peak point.

[0008] As a preferred embodiment of the method for handling abnormal noise in the vehicle powertrain bearings described in this invention, the step of writing the offline reference record includes: performing a reciprocal scan on the reference frequency band, performing grid measurement and perforation identification on the panel area and floor area corresponding to the driver's seat measuring point, generating a perforation group and a perforation sequence, and writing it into the offline reference record.

[0009] As a preferred embodiment of the method for handling abnormal noise in the vehicle powertrain bearings described in this invention, the process of sorting to form a candidate segment sequence includes: retrieving offline baseline records, verifying data integrity and consistency with five fixed measurement points, organizing user complaint information, reading operating data, aligning the complaint time window with the operating data time axis, extracting the drive speed range and output torque range, and combining them to generate a reproducible operating condition; restoring the positions of the five fixed measurement points, controlling the vehicle to reproduce the operating condition, collecting the current signals of the five fixed measurement points, processing the current signals of the five fixed measurement points within the reference frequency band, and calculating the current segment value and the current coherence mean; calculating the segment deviation based on the current segment value and the current coherence mean, combined with the baseline segment value and the baseline coherence mean, summarizing repeated sampling samples of vehicles of the same model without abnormal noise, calculating the segment deviation threshold, comparing the segment deviation with the segment deviation threshold, and generating a candidate segment sequence.

[0010] As a preferred embodiment of the method for handling abnormal noise in the vehicle powertrain bearings described in this invention, the step of implementing local reversible disturbance and calculating the disturbance reduction includes: retrieving the reproduction condition, candidate segment sequence, and offline baseline record; extracting the housing area, suspension area, frame area, peak point, orifice group, and orifice sequence; locking the verification boundary; generating a verification list; according to the verification list, cutting reversible components according to the correspondence between the housing area, suspension area, frame area, and orifice group; binding reversible component numbers and verification boundaries; executing the idle reproduction condition; collecting sound pressure at the driver's seat measurement point; calculating the idle reduction; and generating a disturbance threshold; implementing local reversible disturbance according to the candidate segment sequence order; calling matching reversible components to implement local coverage of the target area; and during cabin section verification, calling the corresponding reversible components of the orifice group according to the orifice sequence order; running the reproduction condition; collecting baseline sound pressure and sound pressure after disturbance; and calculating the disturbance reduction.

[0011] As a preferred embodiment of the method for handling abnormal noise in the vehicle powertrain bearings described in this invention, the generation of the dominant segment, the positioning point, and the target boundary includes: comparing the disturbance reduction amplitude and the disturbance threshold, determining whether the current candidate segment forms a dominant segment and a positioning point, extracting the next candidate segment for further verification if the determination fails, and writing the dominant segment, the positioning point, the disturbance reduction amplitude, and the target boundary if the determination passes.

[0012] As a preferred embodiment of the method for handling abnormal noise in the vehicle powertrain bearings described in this invention, the generation and installation of permanent sound insulation components includes: verifying the correspondence between the target boundary and the positioning points and the consistency of the five fixed measurement points based on the main segment, positioning points, reproducible operating conditions, segment offset threshold, reference frequency band, five fixed measurement point numbers, and target boundary, and generating a construction list; cutting the permanent sound insulation components according to the construction list, removing reversible components, processing the installation surface, and completing the installation of the permanent sound insulation components according to the positioning points and target boundary, thereby generating the installation boundary and installation position.

[0013] As a preferred embodiment of the method for handling abnormal noise in the vehicle powertrain bearings described in this invention, the step of performing a reversion determination includes: restoring five fixed measuring points according to the construction list, installation boundary, and installation location; performing a re-enactment of the working condition; collecting re-measurement signals; generating re-measurement data; performing reference frequency band in-band calculation on the re-measurement data; recalculating the current segment value, the current coherence mean value, and the segment deviation; comparing the maximum segment deviation with the segment deviation threshold; performing a reversion determination; and writing the data into the maintenance reference when the reversion determination is satisfied.

[0014] In a second aspect, the present invention provides a computer device including a memory and a processor, wherein the memory stores a computer program, wherein when the computer program is executed by the processor, it implements any step of the method for handling abnormal noise of vehicle powertrain bearings as described in the first aspect of the present invention.

[0015] Thirdly, the present invention provides a computer-readable storage medium having a computer program stored thereon, wherein the computer program, when executed by a processor, implements any step of the method for handling abnormal noise in a vehicle powertrain bearing as described in the first aspect of the present invention.

[0016] The beneficial effects of this invention are as follows: by sorting to form a candidate segment sequence, the abnormal segments in the abnormal noise transmission chain are converged in an orderly manner, and the verification objects are gradually concentrated around the deviation parts; by implementing local reversible perturbation and calculating the perturbation reduction, the dominant contribution parts are verified and the range is converged, and the dominant segment, positioning point and target boundary are identified simultaneously. With the addition of writing the offline benchmark record and performing the regression judgment, the screening is focused, the treatment is more targeted, the retesting standards are consistent before and after, and the maintenance results are traceable. Attached Figure Description

[0017] To more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings used in the following description of the embodiments will be briefly introduced. Obviously, the drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0018] Figure 1 A flowchart illustrating the methods for handling abnormal noise from vehicle powertrain bearings.

[0019] Figure 2 This is a flowchart for writing the offline baseline record.

[0020] Figure 3 A flowchart for forming a candidate segment sequence.

[0021] Figure 4 The flowchart is for verification and regression. Detailed Implementation

[0022] To make the above-mentioned objects, features and advantages of the present invention more apparent and understandable, the specific embodiments of the present invention will be described in detail below with reference to the accompanying drawings.

[0023] Many specific details are set forth in the following description in order to provide a full understanding of the invention. However, the invention may also be practiced in other ways different from those described herein, and those skilled in the art can make similar extensions without departing from the spirit of the invention. Therefore, the invention is not limited to the specific embodiments disclosed below.

[0024] Secondly, the term "one embodiment" or "embodiment" as used herein refers to a specific feature, structure, or characteristic that may be included in at least one implementation of the present invention. The phrase "in one embodiment" appearing in different places in this specification does not necessarily refer to the same embodiment, nor is it a single or selective embodiment that is mutually exclusive with other embodiments.

[0025] Reference Figures 1-4 As one embodiment of the present invention, this embodiment provides a method for dealing with abnormal noise from a vehicle powertrain bearing, comprising the following steps: S1. Perform standard operating conditions, generate reference frequency band, reference segment value and reference coherence mean, locally scan to generate housing area, suspension area, frame area and peak point, obtain orifice group and orifice sequence, and write to offline reference record.

[0026] Five fixed measuring points are set up, and standard operating conditions are performed to acquire the raw signals from the five fixed measuring points. The raw signals from the five fixed measuring points are then subjected to spectrum processing and frequency band calculation to generate a reference frequency band, reference segment value, and reference coherence mean. The reference frequency band is then partially scanned, and grid measurement is performed on the areas where the shell measuring points, passive measuring points, and frame measuring points are located to generate the shell area, suspension area, frame area, and peak point.

[0027] Furthermore, five fixed measuring points were set up. The vehicle to be tested was parked at the roller station, the tire pressure was adjusted to the factory test value, the additional load inside the vehicle was removed, and the air conditioning compressor and non-essential electrical accessories were turned off. The housing measuring point was installed on the outer housing surface of the target bearing near the center of the bearing seat. The active measuring point was installed at the connection position on the power side of the suspension. The passive measuring point was installed at the connection position on the body side of the suspension. The frame measuring point was installed at the frame connection position closest to the passive measuring point. The driver's seat measuring point was installed at the reference position next to the driver's ear.

[0028] The housing measuring points, active measuring points, passive measuring points, and frame measuring points all use triaxial accelerometers, while the driver's seat measuring point uses a free-field microphone. The five fixed measuring points are numbered and written into the data collection list.

[0029] The system collects standard operating conditions and controls the vehicle to perform uniform standard operating conditions at the roller station. Specifically, it maintains low-speed steady-state operation, continuously increases speed at a constant rate of change, pauses briefly at three intermediate speed points during the speed increase process, and finally stops operating.

[0030] When performing standard operating conditions, the raw signals from five fixed measuring points are collected simultaneously to obtain the raw signals from the five fixed measuring points.

[0031] The reference frequency band, reference segment value, and reference coherence mean are generated. Specifically, the original signals from the shell measurement point and the original signals from the driver's seat measurement point are first subjected to spectrum processing to obtain the acceleration spectrum amplitude of the shell measurement point and the sound pressure spectrum amplitude of the driver's seat measurement point, respectively, and the cockpit amplification spectrum is generated.

[0032] Specifically, the cabin expansion is expressed as: ; in, Representing frequency point The cabin is much larger. Indicates frequency, This indicates the sound pressure spectrum amplitude at the frequency point measured from the driver's seat. Indicates the acceleration spectrum amplitude at the measurement point on the shell at the specified frequency, subscript Indicates sound pressure level, subscript It represents acceleration.

[0033] Furthermore, the frequency corresponding to the maximum value of the cockpit amplification spectrum is taken as the center frequency. Extending from the center frequency to both sides, the position where the cockpit amplification spectrum drops to the half-power boundary is found. The frequency range between the half-power boundaries is determined as the reference frequency band. Within the reference frequency band, the root mean square value of the band at five fixed measurement points is calculated to generate four reference segment values.

[0034] Specifically, the ratio of the root mean square value within the active belt to the root mean square value within the housing belt is calculated to obtain the reference value for the housing segment; the ratio of the root mean square value within the passive belt to the root mean square value within the active belt is calculated to obtain the reference value for the suspension segment; the ratio of the root mean square value within the frame belt to the root mean square value within the passive belt is calculated to obtain the reference value for the frame segment; and the ratio of the root mean square value within the driver's seat belt to the root mean square value within the frame belt is calculated to obtain the reference value for the cabin segment.

[0035] Furthermore, within the same reference frequency band, the squared coherence function between adjacent measurement points is calculated, and the reference frequency band is averaged to generate the reference coherence mean values ​​for the shell section, the suspension section, the frame section, and the cockpit section in sequence.

[0036] It should be noted that the peak points include the housing point, the suspension point, and the frame point.

[0037] Furthermore, local scanning forms the shell area, suspension area, frame area, and peak point. Specifically, with the shell measurement point as the center, a regular grid is established on the outer shell surface of the target bearing. The same triaxial accelerometer is used to magnetically measure the vibration response of each grid point in the reference frequency band. The grid point with the largest response is recorded as the shell point. The connected region with a vibration response not lower than the peak half-power boundary is extracted around the shell point to form the shell area.

[0038] Centered on the passive measurement point, a regular grid is established on the side of the suspended vehicle body connecting the boundary. The vibration response of each grid point in the reference frequency band is measured point by point. The grid point with the largest response is recorded as the suspension point. The half-power connected region is extracted around the suspension point to form the suspension area.

[0039] Centered on the frame measurement points, a regular grid is established on the frame connection boundary. The vibration response of each grid point in the reference frequency band is measured point by point. The grid point with the largest response is recorded as the frame point. The half-power connected region is extracted around the frame point to form the frame region.

[0040] A reciprocal scan is performed on the reference frequency band, and grid measurement and perforation identification are carried out on the area of ​​the enclosure and the floor corresponding to the driver's seat measurement point to generate a perforation group and a perforation sequence, which are then written into the offline reference record.

[0041] Furthermore, reciprocal scanning forms orifice groups and orifice sequences. Specifically, the volumetric sound source is fixed at the driver's seat measurement point, where the center of the volumetric sound source coincides with the driver's seat measurement point. A regular grid is established on the inner surface of the front bulkhead and the inner surface of the front floor, and a near-field sound pressure probe is used to measure the reciprocal response of each grid point in the reference frequency band.

[0042] Measure all grid points, and record the grid point with the largest reciprocal response as the path point. Around the path point, extract the connected regions with a reciprocal response not lower than the peak half-power boundary to form the path zone.

[0043] Furthermore, the wire harness perforations, cable perforations, and inspection holes within the path zone are identified one by one, and all perforations located within the path zone are registered as a perforation group; the reciprocal response values ​​of the corresponding positions of each perforation are read and arranged in descending order to form a perforation sequence.

[0044] Write the offline benchmark record. Specifically, in a fixed order, write the benchmark frequency band, four benchmark segment values, four benchmark coherent average values, housing area, suspension area, frame area, housing point, suspension point, frame point, path band, path point, orifice group, and orifice sequence into the offline benchmark record. When writing, save the numbering information of five fixed measuring points and the standard operating condition numbering information simultaneously.

[0045] S2. Retrieve the offline baseline record, generate the reproducible working condition, collect the current signals of five fixed measuring points, calculate the current segment value, the current coherence mean, and the segment deviation, generate the segment deviation threshold, and sort them to form a candidate segment sequence.

[0046] Retrieve the offline baseline record, verify the data integrity and consistency with the five fixed measurement points, organize user complaint information, read the operation data, align the complaint time window with the operation data time axis, extract the drive speed range and output torque range, and combine them to generate a reproducible operating condition; restore the positions of the five fixed measurement points, control the vehicle to reproduce the operating condition, collect the current signals of the five fixed measurement points, process the current signals of the five fixed measurement points within the reference frequency band, and calculate the current segment value and the current coherence mean.

[0047] Furthermore, the offline benchmark records are retrieved and the calculation caliber is locked. Specifically, the maintenance personnel start the data reading program at the maintenance station to retrieve the offline benchmark records from the vehicle file. The data reading program reads the benchmark frequency band, four benchmark segment values, four benchmark coherence average values, and five fixed measurement point numbers in a fixed order. Among them, the five fixed measurement point numbers correspond to the shell measurement point, active measurement point, passive measurement point, frame measurement point, and driver's seat measurement point, respectively.

[0048] Check if the reference frequency band, four reference segment values, and four reference coherent average values ​​are complete; check if the five fixed measurement point numbers are consistent with the sensor layout positions on the vehicle under test; check if the four reference segment values ​​and four reference coherent average values ​​are all greater than zero; if there are values ​​less than or equal to zero, stop the segment offset calculation, retrieve the offline reference record again, or re-execute the offline acquisition; after completing all checks, write the reference frequency band, four reference segment values, four reference coherent average values, and five fixed measurement point numbers into the maintenance record.

[0049] The process involves generating a reproducible operating condition and fixing its boundaries. Specifically, maintenance personnel compile user complaint information, focusing on recording the vehicle speed range when the abnormal noise occurs, the acceleration or deceleration state at the time of the noise, the duration of the noise, and the number of times the noise recurs. They then read the operating data stored in the vehicle controller, which includes drive speed data and output torque data. The personnel align the user complaint time window with the operating data time axis, searching for the longest-lasting, continuously existing drive speed range within the complaint time window, and simultaneously searching for the longest-lasting, synchronously existing output torque range within the same time window. Finally, they combine the drive speed range and output torque range to create a reproducible operating condition, which is then written into the maintenance record.

[0050] Five fixed measuring point signals are collected. Specifically, maintenance personnel restore the positions of the five fixed measuring points according to the five fixed measuring point numbers already saved in the offline reference record, so that the shell measuring point, active measuring point, passive measuring point, frame measuring point, and driver's seat measuring point are completely consistent with the offline stage. The vehicle is controlled to run at the roller station to reproduce the working condition, and the current acceleration signal of the shell measuring point, the current acceleration signal of the active measuring point, the current acceleration signal of the passive measuring point, the current acceleration signal of the frame measuring point, and the current sound pressure signal of the driver's seat measuring point are collected. During the collection process, the sampling frequency, sampling duration, and clock reference are kept consistent with the offline stage, and the five current signals are written into the maintenance record.

[0051] The current segment value and current coherent mean are calculated. The maintenance station control terminal only processes five current signals within the reference frequency band already generated in the offline reference record. The in-band root mean square value of five fixed measurement points is calculated. The ratio of the in-band root mean square value of the active measurement point to the in-band root mean square value of the housing measurement point is calculated to obtain the current segment value of the housing segment. The ratio of the in-band root mean square value of the passive measurement point to the in-band root mean square value of the active measurement point is calculated to obtain the current segment value of the suspension segment. The ratio of the in-band root mean square value of the frame measurement point to the in-band root mean square value of the passive measurement point is calculated to obtain the current segment value of the frame segment. The ratio of the in-band root mean square value of the driver's seat measurement point to the in-band root mean square value of the frame measurement point is calculated to obtain the current segment value of the cabin segment. The current segment values ​​of the housing segment, suspension segment, frame segment, and cabin segment are checked one by one. Values ​​less than 0.01 are uniformly written as 0.01 into the maintenance record.

[0052] Furthermore, within the same reference frequency band, the squared coherence function between adjacent measurement points is calculated, and frequency band averaging is performed on the reference frequency band to sequentially generate the current coherence mean value for the shell section, the suspension section, the frame section, and the cockpit section. The current coherence mean values ​​for the shell section, the suspension section, the frame section, and the cockpit section are then individually verified, and values ​​less than 0.01 are uniformly recorded as 0.01 in the maintenance record.

[0053] Based on the current segment value and the current coherence mean, combined with the baseline segment value and the baseline coherence mean, the segment skew is calculated. Repeated sampling samples of vehicles of the same model without abnormal noise are summarized, the segment skew threshold is calculated, and the segment skew is compared with the segment skew threshold to generate a candidate segment sequence.

[0054] Furthermore, the segment offset is calculated, and the segment offset is expressed as: ; in, Indicates the first Segment bias, Indicates the segment number. Indicates the first The current segment value of the segment. For the first The baseline segment value, superscript Indicates the offline baseline status. Indicates the first The current coherence mean of the segment, Indicates the first The baseline coherence mean of the segment.

[0055] It should be noted that the segment deviation value is greater than or equal to zero. The larger the value, the more obvious the deviation of the corresponding segment from the lower baseline state.

[0056] Furthermore, the segment deviation threshold is generated by repeatedly sampling samples from vehicles of the same model without abnormal noise. Specifically, no less than thirty vehicles of the same model without abnormal noise are selected, and the samples are repeatedly collected twice under the same off-line workstation and the same measurement point layout. The segment deviation samples collected each time are generated according to the same non-zero verification method and 0.01 normalization method as the current vehicle segment deviation calculation stage. All segment deviation samples are summarized, and the first quartile and the third quartile of all segment deviation samples are calculated to calculate the segment deviation threshold.

[0057] It should be noted that by repeatedly collecting data from thirty vehicles of the same model without abnormal noises twice, it is possible to cover the natural dispersion caused by manufacturing dispersion, assembly dispersion, and workstation fluctuations of the same model, so that the first quartile and the third quartile tend to be stable. At the same time, it takes into account the collection cycle and detection cost, and avoids the impact of too few samples on the stability of the segment bias threshold.

[0058] Specifically, the segment-partial threshold is expressed as: ; in, Indicates the segment-partial threshold. This represents the first quartile of the skewness sample. This represents the third quartile of the partial sample.

[0059] It should be noted that the range of the segment offset threshold is (0.15, 0.4). After the segment offset threshold is generated, it is written into the maintenance record as the screening threshold for candidate segments.

[0060] The coefficient 1.5 in the segment deviation threshold calculation formula is obtained by comparing repeated sampling samples from vehicles of the same model without abnormal noise. Specifically, under the same off-line workstation and the same measurement point layout, multiple batches of segment deviation samples are collected, and multiple multiple factors are substituted into them for screening and trial calculation. The stability of candidate segment sequences, the ability to distinguish abnormal segments, and the situation of false screening are compared. The factor that can keep the natural discrete samples from being over-amplified and can identify obvious deviation segments in a timely manner is selected. Finally, the coefficient 1.5 is determined. It can filter out the natural fluctuations caused by repeated sampling of vehicles of the same model without abnormal noise, while retaining the sensitivity of abnormal deviation identification, so that the candidate segment sequence screening takes into account both stability and distinguishability.

[0061] Furthermore, a candidate segment sequence is formed by sorting. Specifically, the four segment deviations are compared with the segment deviation threshold one by one, and the segments with deviations greater than the segment deviation threshold are retained. The retained segments are sorted in descending order of their deviations to form a candidate segment sequence. The first candidate segment in the candidate segment sequence represents the segment that deviates most significantly from the lower baseline state.

[0062] It should be noted that if all four segment deviations are less than or equal to the segment deviation threshold, the current vehicle is determined not to meet the screening conditions for path amplification abnormal noise, the conclusion that no candidate segment sequence has been formed is written into the maintenance record, and the current screening process ends; if at least one segment deviation is greater than the segment deviation threshold, the corresponding segments are arranged in descending order of deviation to form a candidate segment sequence, and the candidate segment sequence is written into the current maintenance record.

[0063] S3. Retrieve the reproducible working conditions, candidate segment sequences, and offline baseline records to generate a verification list. Implement local reversible disturbances and calculate the disturbance reduction. Compare the disturbance reduction with the disturbance threshold to generate the dominant segment, positioning point, and target boundary.

[0064] Retrieve the reproduced working conditions, candidate segment sequences, and offline benchmark records; extract the shell area, suspension area, frame area, peak points, orifice groups, and orifice sequences; lock the verification boundaries; and generate a verification list. Based on the verification list, cut reversible parts according to the correspondence between the shell area, suspension area, frame area, and orifice groups; bind reversible parts with verification boundaries; execute the idle-travel reproduced working conditions; collect sound pressure at the driver's seat measurement point; calculate the idle-travel reduction; and generate a disturbance threshold.

[0065] It should be noted that the verification boundary represents the boundary range used in the local reversible disturbance stage, while the target boundary represents the boundary range that is consistent with the dominant segment and the positioning point after the disturbance reduction exceeds the disturbance threshold.

[0066] Read the maintenance record and lock the verification boundary. Specifically, the maintenance personnel open the maintenance record corresponding to the current vehicle at the maintenance station, read the reproduced working conditions and candidate segment sequence, and read the reference frequency band, housing area, suspension area, frame area, path band, orifice group, orifice sequence, housing point, suspension point, frame point and path point in sequence.

[0067] Verify the drive speed range and output torque range in the reproduced working condition, verify the order of the first and subsequent candidate segments in the candidate segment sequence, verify the boundary information of the housing area, suspension area, frame area, path zone and orifice group, and verify the coordinate information of the housing point, suspension point, frame point and path point.

[0068] Maintenance personnel will write the reproduced operating conditions, candidate segment sequences, reference frequency bands, and all spatial boundaries into the current verification list.

[0069] Furthermore, reversible components are generated, including shell reversible components, suspension reversible components, frame reversible components, path reversible components, and orifice reversible components. Specifically, maintenance personnel cut the shell reversible components according to the shell area boundary, ensuring that the outer contour of the shell reversible component is completely consistent with the shell area boundary; cut the suspension reversible components according to the suspension area boundary, ensuring that the outer contour of the suspension reversible component is completely consistent with the suspension area boundary; cut the frame reversible components according to the frame area boundary, ensuring that the outer contour of the frame reversible component is completely consistent with the frame area boundary; cut the path reversible components according to the path zone boundary, ensuring that the outer contour of the path reversible component is completely consistent with the path zone boundary; cut the orifice reversible components according to the actual contour of each orifice in the orifice group, and number the orifice reversible components according to the orifice sequence; bind all reversible components to their corresponding verification boundaries one by one, and write them into the current verification list.

[0070] Furthermore, a disturbance threshold is generated. Specifically, without installing any reversible components, the vehicle is controlled to continuously perform seven repetitions of the operating condition at the roller station. During the operation of the seven repetitions, the maintenance personnel collect the root mean square sound pressure of the driver's seat at each measurement point within the reference frequency band. These are recorded in the order of operation as the first idle sound pressure, the second idle sound pressure, the third idle sound pressure, the fourth idle sound pressure, the fifth idle sound pressure, the sixth idle sound pressure, and the seventh idle sound pressure.

[0071] It should be noted that seven replicated operating conditions can form six sets of idle distance reduction samples under the same maintenance station, the same replication boundary, and the same sampling link, which is sufficient to support the stable calculation of the first quartile and the third quartile, and will not significantly lengthen the maintenance cycle of a single vehicle; when there are fewer than seven replicates, the sample discrete coverage is insufficient, which can easily amplify small fluctuations in the station. Seven replicates can take into account the stability of the threshold, the discrimination sensitivity, and the efficiency of on-site execution.

[0072] Furthermore, using the first empty-range sound pressure as a reference value, the second to seventh empty-range sound pressures are compared with the first empty-range sound pressure. When the subsequent empty-range sound pressure is lower than the first empty-range sound pressure, the corresponding empty-range reduction is calculated according to the empty-range reduction formula. When the subsequent empty-range sound pressure is not lower than the first empty-range sound pressure, the corresponding empty-range reduction is counted as zero, forming six non-negative empty-range reduction samples.

[0073] Specifically, the reduction in air travel is expressed as: ; in, Indicates the first The reduction in idle time for the next idle run, subscript Indicates the sequence number of the idle run, with values ​​ranging from two to seven, and the subscript... This indicates the first idle run. The in-band root-mean-square sound pressure level at the driver's seat measurement point within the reference frequency band during the first idle run. Indicates the first The root mean square sound pressure level within the reference frequency band measured at the driver's seat during the second idle run.

[0074] Furthermore, the first and third quartiles of the six air-range reduction samples are calculated, and a perturbation threshold is generated by the quartile distance from the outer edge. The perturbation threshold is then written into the current verification list.

[0075] Specifically, the perturbation threshold is expressed as: ; in, Indicates the perturbation threshold. This represents the first quartile of the sample of empty flight reduction. This represents the third quartile of the sample of empty flight reduction.

[0076] It should be noted that the disturbance threshold corresponds to the upper boundary of the natural fluctuation of the root mean square sound pressure at the driver's seat measurement point within the reference frequency band under the air-range reproduction condition. No reversible components are installed under the air-range reproduction condition, and the sound pressure change at the driver's seat measurement point originates only from fluctuations at the maintenance station, minor deviations in the reproduction condition, sampling link discrepancies, and short-term vehicle operation fluctuations. Therefore, the air-range reduction sample can characterize the background fluctuation amplitude beyond the local reversible disturbance action. During the local reversible disturbance stage, when the disturbance reduction is greater than the disturbance threshold, the impact of the local coverage action within the current verification boundary on the sound pressure at the driver's seat measurement point is already higher than the background fluctuation amplitude, and the dominant contribution path is identifiable. When the disturbance reduction is less than or equal to the disturbance threshold, the sound pressure change at the driver's seat measurement point is still within the natural fluctuation range of the air-range reproduction condition, and the decrease in sound pressure at the driver's seat measurement point cannot be attributed to the local coverage action within the current verification boundary.

[0077] The first and third quartiles characterize the main discrete interval of the air distance reduction samples, which can reduce the impact of individual large samples on the threshold value. Based on the third quartile, the distance is expanded outward by 1.5 times the interquartile range to cover the high-level natural fluctuations formed by the maintenance station fluctuation, the small deviation of the reproduction condition, and the discreteness of the sampling link. Maintenance personnel continuously collect multiple batches of air distance reduction samples at the same maintenance station and compare them using different discrete expansion factors. The 1.5 times interquartile range can cover the random fluctuations of the sound pressure at the driver's seat measurement point under the air distance reproduction condition without significantly raising the threshold value, taking into account the sensitivity of the dominant segment judgment and the consistency of repeated verification. Therefore, the disturbance threshold is generated by using the outer edge of the third quartile and the 1.5 times interquartile range.

[0078] It should be noted that the theoretical value of the disturbance threshold is greater than or equal to zero, while the actual value varies with the magnitude of fluctuations at the current work station. The range of the disturbance threshold is [0.8, 2.5] dB. 0.8 dB can cover the sound pressure fluctuations at the driver's seat measurement point caused by small fluctuations in the maintenance work station, sampling link, and reproduction working conditions. 2.5 dB can avoid excessively high disturbance thresholds, effectively reducing the amplitude of local reversible disturbances and ensuring the stability of the dominant segment judgment and the sensitivity of the positioning point identification.

[0079] The disturbance threshold formula coefficient 1.5 was obtained through repeated trial sampling and comparison under the empty-range reproduction working condition. Specifically, multiple batches of empty-range reduction samples were continuously collected at the same maintenance station, and the disturbance threshold was calculated using different discrete expansion multiples. The station fluctuation coverage, misjudgment situation, and stability of local reversible disturbance identification were compared, and the multiple with the best overall performance was selected as the coefficient 1.5. 1.5 forms a stable boundary between natural station fluctuation and effective disturbance response. The 1.5 times discrete expansion amount can cover the random fluctuations of the sound pressure at the driver's seat measurement point under the empty-range reproduction working condition without excessively raising the disturbance threshold, and can maintain the sensitivity of the dominant segment judgment and the stability of the verification results.

[0080] Local reversible disturbances are implemented according to the candidate segment sequence order. Matching reversible components are called to implement local coverage of the target area. During the cabin segment verification, the corresponding reversible components of the orifice group are called according to the orifice sequence order to run and reproduce the working condition. The baseline sound pressure and the sound pressure after disturbance are collected, and the disturbance reduction is calculated. The disturbance reduction is compared with the disturbance threshold to determine whether the current candidate segment forms a dominant segment and a positioning point. If the determination fails, the next candidate segment is extracted and verification is continued. If the determination passes, the dominant segment, positioning point, disturbance reduction, and target boundary are written.

[0081] Furthermore, single-segment verification is initiated according to the candidate segment sequence. Specifically, the first candidate segment is taken from the candidate segment sequence and registered as the current candidate segment. Local reversible perturbation is only performed within the verification boundary corresponding to the current candidate segment. If the first candidate segment fails the perturbation threshold judgment, the next candidate segment is taken from the candidate segment sequence for sorting until the candidate segment sequence verification is completed or a dominant segment is formed.

[0082] Specifically, if the current candidate segment is a shell segment, only the shell reversible component is called and only applied to the shell area; if the current candidate segment is a suspension segment, only the suspension reversible component is called and only applied to the suspension area; if the current candidate segment is a frame segment, only the frame reversible component is called and only applied to the frame area; if the current candidate segment is a cockpit segment, the orifice reversible component is called one by one according to the orifice sequence, and only applied to the corresponding orifice in the orifice group; only when the orifice group has been fully verified and no valid result has been formed, the path reversible component is called and applied to the path band.

[0083] Furthermore, verification is implemented for the shell section, suspension section, and frame section. Specifically, if the current candidate section is the shell section, the maintenance personnel run the reproduction condition once without installing the shell reversible component, and collect the in-band root mean square sound pressure at the driver's seat measuring point within the reference frequency band to form the shell section baseline sound pressure. The maintenance personnel stop the vehicle operation, install the shell reversible component, so that the shell reversible component completely covers the shell area, and the maintenance personnel run the reproduction condition again, and collect the in-band root mean square sound pressure at the driver's seat measuring point within the reference frequency band again to form the shell section disturbance-induced sound pressure. The maintenance station control terminal then converts the shell section baseline sound pressure and the shell section disturbance-induced sound pressure into the shell section disturbance reduction amplitude.

[0084] Specifically, if the current candidate segment is the suspension segment, the maintenance personnel will follow the same procedure to generate the baseline sound pressure of the suspension segment, the sound pressure of the suspension segment after disturbance, and the disturbance reduction of the suspension segment. If the current candidate segment is the chassis segment, the maintenance personnel will follow the same procedure to generate the baseline sound pressure of the chassis segment, the sound pressure of the chassis segment after disturbance, and the disturbance reduction of the chassis segment.

[0085] Specifically, the disturbance reduction is expressed as: ; in, Indicates the first The magnitude of the perturbation reduction of the sub-local reversible perturbation, subscript Indicates the index of the locally reversible perturbation. Indicates the baseline status. This indicates the in-band root-mean-square sound pressure level at the driver's seat measurement point within the reference frequency band before the current disturbance action was implemented in the current candidate segment. Indicates the first The root mean square sound pressure level in the driver's seat within the reference frequency band after a partial reversible disturbance.

[0086] It should be noted that the coefficient 20 in the disturbance reduction formula is determined through the conversion relationship between the sound pressure level difference and the effective sound pressure value. Specifically, under the same conditions of the same driver's seat measurement point, the same sampling link, and the same reference frequency band, multiple sets of known sound pressure level differences are selected for comparison and conversion. The consistency between the converted value and the sound pressure level difference is compared, and the disturbance reduction is determined to be converted using a 20-fold logarithmic conversion. The disturbance reduction is compared with the in-band root mean square sound pressure of the driver's seat measurement point in the reference frequency band. The sound pressure level characterization is based on the effective sound pressure value, and the change in sound energy corresponds to the square of the sound pressure. Therefore, when the sound pressure ratio is converted to a decibel reduction, a 20-fold logarithmic form is used so that the change in sound pressure at the driver's seat measurement point before and after the disturbance can be expressed in decibel reduction.

[0087] Furthermore, cockpit segment verification is implemented. If the current candidate segment is the cockpit segment, the path reversible component is not directly installed. Instead, the orifice groups are verified one by one from front to back according to the orifice sequence. Specifically, the maintenance personnel first take the first orifice in the orifice sequence and run the reproduction condition once without installing the corresponding orifice reversible component. The root mean square sound pressure in the driver's seat is collected within the reference frequency band to form the baseline sound pressure of the first orifice. The vehicle is then stopped, the orifice reversible component corresponding to the first orifice is installed, and the reproduction condition is run again. The root mean square sound pressure in the driver's seat is collected again within the reference frequency band to form the sound pressure after disturbance of the first orifice. The baseline sound pressure of the first orifice and the sound pressure after disturbance of the first orifice are converted into the disturbance reduction amplitude of the first orifice.

[0088] After the first orifice is verified, the maintenance personnel continue to verify the next orifice in sequence until all orifices in the sequence have completed the same verification process.

[0089] It should be noted that the installation of path reversible components is only permitted when all orifices in the orifice sequence have been verified and the disturbance reduction corresponding to all orifices in the orifice sequence is less than or equal to the disturbance threshold. The path band verification method is the same as the area verification method. The maintenance personnel first form the baseline sound pressure of the path band, then install the path reversible components to form the sound pressure after disturbance of the path band, and calculate the disturbance reduction of the path band.

[0090] Furthermore, the root mean square sound pressure within the driver's seat measurement point is compared to determine the dominant segment and the positioning point. Specifically, after each local reversible disturbance is completed, the baseline sound pressure corresponding to the current candidate segment is compared with the sound pressure after the disturbance to generate the disturbance reduction amplitude corresponding to the current candidate segment.

[0091] The disturbance reduction corresponding to the current candidate segment is compared with the disturbance threshold. If the disturbance reduction is greater than the disturbance threshold, the current candidate segment is determined as the dominant segment. The location point is determined based on the generated points corresponding to the current candidate segment.

[0092] Specifically, when the current candidate segment is a shell segment, the positioning point is determined as the shell point; when the current candidate segment is a suspension segment, the positioning point is determined as the suspension point; when the current candidate segment is a frame segment, the positioning point is determined as the frame point; when the current candidate segment is a cockpit segment and the effective disturbance occurs at a certain orifice in the orifice group, the positioning point is determined as the corresponding orifice; when the current candidate segment is a cockpit segment and the effective disturbance occurs in the path zone, the positioning point is determined as the path point.

[0093] If the disturbance reduction is less than or equal to the disturbance threshold, no dominant segment or location point is generated. The next candidate segment is taken from the candidate segment sequence, and the verification process is repeated. The maintenance station control terminal only outputs the result of no dominant segment being formed when all candidate segment sequences have been verified and all disturbance reductions are less than or equal to the disturbance threshold.

[0094] Furthermore, the verification results are written in. Specifically, after determining the dominant segment and the positioning point, the dominant segment, the positioning point, the corresponding disturbance reduction, and the corresponding target boundary are written into the maintenance record.

[0095] It should be noted that if a dominant segment is not formed, the results of the non-dominant segment and the candidate segments that have been verified will be written into the maintenance record in that order.

[0096] S4. Retrieve the main segment, positioning point, and target boundary; generate and install permanent sound insulation components; collect retest signals from five fixed measurement points; recalculate the current segment value, current coherence mean, and segment deviation; perform regression judgment; and write the data into the maintenance baseline.

[0097] Based on the main segment, positioning point, reproducible working condition, segment offset threshold, reference frequency band, five fixed measurement point numbers, and target boundary, verify the correspondence between the target boundary and the positioning point, as well as the consistency of the five fixed measurement points, and generate a construction list; cut permanent sound insulation components according to the construction list, remove reversible components, process the installation surface, and complete the installation of permanent sound insulation components according to the positioning point and target boundary, generating the installation boundary and installation position.

[0098] Furthermore, the maintenance records are read and the construction input is determined. At the maintenance station, based on the maintenance records, the following are read in sequence: main segment, positioning point, reproduced working condition, segment deviation threshold, reference frequency band, five fixed measuring point numbers, housing area, suspension area, frame area, path band, orifice group, housing point, suspension point, frame point, and path point. It is verified whether the main segment and positioning point correspond to the same target boundary, the drive speed range and output torque range in the reproduced working condition are verified, the segment deviation threshold is verified to have been written into the maintenance records, and the five fixed measuring point numbers are verified to be consistent with the current sensor deployment location on the vehicle.

[0099] The maintenance personnel compiled the main section, positioning points, reproduced working conditions, section offset threshold, reference frequency band, five fixed measurement point numbers, and the target boundary information corresponding to the main section into a construction list.

[0100] To generate permanent sound insulation components, maintenance personnel generate them on-site according to the main section type and target boundary in the construction list. Specifically, when the main section is a shell section, the shell area boundary is used as the outer contour for cutting, and the shell point is used as the alignment center to cut and form a permanent shell sound insulation component; when the main section is a suspension section, the suspension area boundary is used as the outer contour for cutting, and the suspension point is used as the alignment center to cut and form a permanent suspension sound insulation component; when the main section is a frame section, the frame area boundary is used as the outer contour for cutting, and the frame point is used as the alignment center to cut and form a permanent frame sound insulation component; when the main section is a cabin section and the positioning point is located at a certain orifice in the orifice group, maintenance personnel use the corresponding orifice contour as the outer contour for cutting and form an orifice sound insulation component; when the main section is a cabin section and the positioning point is located in the path zone, the path zone boundary is used as the outer contour for cutting, and the path point is used as the alignment center to cut and form a path permanent sound insulation component.

[0101] It should be noted that during the cutting process, maintenance personnel simultaneously check the outer contour dimensions, thickness, and edge integrity to ensure that the permanent sound insulation component can completely cover the corresponding openings in the housing area, suspension area, frame area, path zone, or opening group.

[0102] Furthermore, after removing the reversible parts and treating the mounting surface, the maintenance personnel stop the vehicle operation after generating permanent sound insulation components and remove the shell reversible parts, suspension reversible parts, frame reversible parts, path reversible parts, or orifice reversible parts installed during the verification process.

[0103] Furthermore, maintenance personnel perform decontamination, dust removal, and drying on the corresponding installation surfaces. Specifically, at the housing section, oil stains and adhering particles are removed from the surface of the housing area; at the suspension section, dust and loose impurities are removed from the surface of the suspension area; at the frame section, dust and oxide debris are removed from the surface of the frame area; and at the cockpit section, residual sealant and dust are removed from the surface of the path zone or the edges of the openings.

[0104] Furthermore, maintenance personnel will re-verify the target boundaries in the housing area, suspension area, frame area, path zone, or orifice group to ensure that the installation surface treatment area is consistent with the coverage area of ​​the permanent sound insulation component.

[0105] Furthermore, permanent sound insulation components are installed. Maintenance personnel perform the installation according to the main sections, positioning points, and target boundaries in the work list. Specifically, when the main section is the shell section, the maintenance personnel align the center of the permanent sound insulation component with the shell point, ensuring the outer edge of the component coincides with the boundary of the shell area, and then press and fix it. When the main section is the suspension section, the maintenance personnel align the center of the permanent sound insulation component with the suspension point, ensuring the outer edge coincides with the boundary of the suspension area, and then press and fix it. When the main section is the frame section... When the vehicle frame is in a certain position, the maintenance personnel align the center of the permanent sound insulation component with the frame point, ensuring that the outer edge of the permanent sound insulation component coincides with the boundary of the frame area, and then press and fix it. When the main section is the cabin section and the positioning point is located at a certain orifice in the orifice group, the maintenance personnel align the permanent sound insulation component at the orifice with the outline of the corresponding orifice, and then press and fix it. When the main section is the cabin section and the positioning point is located in the path zone, the maintenance personnel align the center of the permanent sound insulation component in the path with the path point, ensuring that the outer edge of the permanent sound insulation component in the path coincides with the boundary of the path zone, and then press and fix it.

[0106] Furthermore, the maintenance personnel checked the edge fit, center alignment, and fixation integrity item by item to ensure that the permanent sound insulation components did not deviate from the positioning point or exceed the target boundary.

[0107] Based on the construction list, installation boundary, and installation location, five fixed measurement points are restored, the working conditions are reproduced, the retest signals are collected, and the retest data is generated. The retest data is used to perform in-band calculations on the reference frequency band, recalculate the current segment value, the current coherence mean, and the segment offset, compare the maximum segment offset with the segment offset threshold, perform a return judgment, and write the data into the maintenance reference when the return judgment is satisfied.

[0108] Furthermore, the five fixed measuring points were restored and retested. The maintenance personnel restored the housing measuring point, active measuring point, passive measuring point, frame measuring point and driver's seat measuring point according to the five fixed measuring point numbers. They checked the installation direction, fixing status and signal connection status of the five fixed measuring points one by one to confirm that the positions of the five fixed measuring points were consistent with the offline testing stage and the screening stage.

[0109] Furthermore, the vehicle is controlled to repeat the working condition at the roller station. During the operation of the repeated working condition, the acceleration signals of the shell measuring point, the acceleration signals of the active measuring point, the acceleration signals of the passive measuring point, the acceleration signals of the frame measuring point, and the sound pressure signal of the driver's seat measuring point are collected simultaneously.

[0110] Furthermore, the five retest signals are written into a sampling file under the same time reference, the current segment value and the current coherent mean value are recalculated, the five retest signals are read, the calculation frequency band is fixed as the reference frequency band, the root mean square value of the band at five fixed measurement points is calculated within the reference frequency band, and the current segment value of the shell segment, the suspension segment, the frame segment, and the cockpit segment is recalculated; the current segment value of the shell segment, the suspension segment, the frame segment, and the cockpit segment is numerically verified one by one, and values ​​less than 0.01 are uniformly included in the segment deviation calculation of the retest stage as 0.01.

[0111] Specifically, the current segment value of the shell section is determined by the ratio of the root mean square value within the active measuring point band to the root mean square value within the shell measuring point band; the current segment value of the suspension section is determined by the ratio of the root mean square value within the passive measuring point band to the root mean square value within the active measuring point band; the current segment value of the frame section is determined by the ratio of the root mean square value within the frame measuring point band to the root mean square value within the passive measuring point band; and the current segment value of the cockpit section is determined by the ratio of the root mean square value within the driver's seat measuring point band to the root mean square value within the frame measuring point band.

[0112] Furthermore, the squared coherence function between adjacent measurement points is calculated within the reference frequency band, and the reference frequency band is averaged. The current coherence mean values ​​of the shell section, suspension section, frame section, and cockpit section are recalculated in sequence. The current coherence mean values ​​of the shell section, suspension section, frame section, and cockpit section are numerically verified one by one. Values ​​less than 0.01 are uniformly included in the segment deviation calculation of the retesting stage as 0.01.

[0113] Furthermore, the segment deviations are recalculated and a regression determination is performed. Using the same segment deviation formula, the segment deviations of the shell segment, suspension segment, frame segment, and cockpit segment are recalculated separately.

[0114] The largest segment deviation is selected from the four recalculated segment deviations. The largest segment deviation is then compared with the segment deviation threshold. If the largest segment deviation is less than or equal to the segment deviation threshold, it is determined that the path state after the permanent sound insulation component is installed has returned to the natural discrete range. If the largest segment deviation is greater than the segment deviation threshold, it is determined that the path state after the permanent sound insulation component is installed still has residual anomalies.

[0115] Furthermore, when the maximum segment deviation is less than or equal to the segment deviation threshold, the reference frequency band, the four current segment values ​​recalculated during the retesting phase, the four current coherent average values ​​recalculated, the dominant segment, the positioning point, the permanent sound insulation component installation boundary, the permanent sound insulation component installation location, and the reproduced working conditions are all written into the maintenance reference.

[0116] The order in which the vehicle file will be written to prioritize the use of the maintenance baseline when it re-enters the station, and only call the offline baseline record when there is no maintenance baseline.

[0117] Furthermore, if the regression judgment fails, and the maximum segment deviation is greater than the segment deviation threshold, retain the five retest signals, retain the permanent sound insulation component installation boundary and installation position, write the failure to meet the regression judgment result into the current maintenance record, do not write it into the maintenance baseline, and re-execute the segment deviation screening and candidate segment sequence sorting under the reproduced working condition.

[0118] This embodiment also provides a computer device applicable to the method for handling abnormal noise from vehicle powertrain bearings, including: a memory and a processor; the memory is used to store computer-executable instructions, and the processor is used to execute the computer-executable instructions to implement the method for handling abnormal noise from vehicle powertrain bearings as proposed in the above embodiment.

[0119] The computer device can be a terminal, comprising a processor, memory, communication interface, display screen, and input devices connected via a system bus. The processor provides computing and control capabilities. The memory includes non-volatile storage media and internal memory. The non-volatile storage media stores the operating system and computer programs. The internal memory provides an environment for the operation of the operating system and computer programs stored in the non-volatile storage media. The communication interface is used for wired or wireless communication with external terminals; wireless communication can be achieved through Wi-Fi, carrier networks, NFC (Near Field Communication), or other technologies. The display screen can be an LCD screen or an e-ink screen. The input devices can be a touch layer covering the display screen, buttons, a trackball, or a touchpad on the computer device's casing, or an external keyboard, touchpad, or mouse.

[0120] This embodiment also provides a storage medium storing a computer program, which, when executed by a processor, implements the method for handling abnormal noise from vehicle powertrain bearings as proposed in the above embodiments. The storage medium can be implemented by any type of volatile or non-volatile storage device or a combination thereof, such as Static Random Access Memory (SRAM), Electrically Erasable Programmable Read-Only Memory (EEPROM), Erasable Programmable Read Only Memory (EPROM), Programmable Red-Only Memory (PROM), Read-Only Memory (ROM), magnetic storage, flash memory, magnetic disk, or optical disk.

[0121] In summary, this invention achieves orderly convergence of abnormal segments in the abnormal noise transmission chain by sorting to form a candidate segment sequence, allowing the verification objects to gradually concentrate around the deviation parts; by implementing local reversible perturbations and calculating the perturbation reduction, it achieves verification and range convergence of the dominant contributing parts, simultaneously clarifying the dominant segment, location point, and target boundary, and in conjunction with writing the offline benchmark record and performing the regression judgment, it achieves focused screening, enhanced targeted treatment, unified retesting standards before and after, and traceability of maintenance results.

[0122] It should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention and are not intended to limit it. Although the present invention has been described in detail with reference to preferred embodiments, those skilled in the art should understand that modifications or equivalent substitutions can be made to the technical solutions of the present invention without departing from the spirit and scope of the technical solutions of the present invention, and all such modifications or substitutions should be covered within the scope of the claims of the present invention.

Claims

1. A method for treating abnormal noise from a vehicle powertrain bearing, characterized in that, include: Perform standard operating conditions, generate reference frequency band, reference segment value and reference coherence mean, locally scan to generate housing area, suspension area, frame area and peak point, obtain orifice group and orifice sequence, and write to offline reference record; The local scan includes setting up five fixed measurement points, performing standard operating conditions, acquiring the original signals from the five fixed measurement points, performing spectrum processing and frequency band calculation on the original signals from the five fixed measurement points, and generating a reference frequency band, a reference segment value, and a reference coherence mean value. The reference frequency band includes taking the frequency corresponding to the maximum value of the cockpit amplification spectrum as the center frequency, expanding from the center frequency to both sides, finding the position where the cockpit amplification spectrum drops to the half-power boundary, and determining the frequency range between the half-power boundaries as the reference frequency band. The reference segment values ​​include the reference segment values ​​for the shell segment, the reference segment values ​​for the suspension segment, the reference segment values ​​for the frame segment, and the reference segment values ​​for the cabin segment; The reference coherence mean includes the reference coherence mean of the shell section, the reference coherence mean of the suspension section, the reference coherence mean of the frame section, and the reference coherence mean of the cabin section; A local scan of the reference frequency band is performed, and grid measurements are carried out on the areas where the housing measurement points, passive measurement points, and frame measurement points are located to generate the housing area, suspension area, frame area, and peak points; Retrieve the offline benchmark record, generate the reproducible working condition, collect the current signals of five fixed measuring points, calculate the current segment value, the current coherence mean, and the segment deviation, generate the segment deviation threshold, and sort them to form a candidate segment sequence; The steps of calculating the current segment value, the current coherence mean, and the segment skewness, generating a segment skewness threshold, and sorting to form a candidate segment sequence include: The positions of five fixed measuring points are restored, the vehicle operation is controlled to reproduce the working conditions, the current signals of the five fixed measuring points are collected, the current signals of the five fixed measuring points are processed within the reference frequency band, and the current segment value and the current coherence mean are calculated. Based on the current segment value and the current coherence mean, combined with the baseline segment value and the baseline coherence mean, the segment bias is calculated. Repeated sampling samples of vehicles of the same model without abnormal noise are summarized, the segment bias threshold is calculated, and the segment bias is compared with the segment bias threshold to generate a candidate segment sequence. The current segment value includes the current segment value of the shell segment, the current segment value of the suspension segment, the current segment value of the frame segment, and the current segment value of the cockpit segment; The current coherence mean includes the current coherence mean of the shell section, the current coherence mean of the suspension section, the current coherence mean of the frame section, and the current coherence mean of the cabin section; Retrieve the reproduced working conditions, candidate segment sequences, and offline benchmark records to generate a verification list. Implement local reversible disturbances and calculate the disturbance reduction rate. Compare the disturbance reduction rate with the disturbance threshold to generate the dominant segment, positioning point, and target boundary. Retrieve the main segment, positioning point and target boundary, generate and install permanent sound insulation components, collect retest signals from five fixed measuring points, recalculate the current segment value, current coherence mean value and segment deviation, perform regression judgment, and write it into the maintenance benchmark. The generation of the dominant segment, the location point, and the target boundary includes comparing the disturbance reduction amplitude and the disturbance threshold, determining whether the current candidate segment forms a dominant segment and a location point, extracting the next candidate segment for further verification if the determination fails, and writing the dominant segment, the location point, the disturbance reduction amplitude, and the target boundary if the determination passes.

2. The method for handling abnormal noise from vehicle powertrain bearings as described in claim 1, characterized in that, The process of writing the offline baseline record includes: A reciprocal scan is performed on the reference frequency band, and grid measurement and perforation identification are performed on the corresponding enclosure area and floor area of ​​the driver's seat measurement point to generate orifice groups and orifice sequences, which are then written into the offline reference record.

3. The method for handling abnormal noise from vehicle powertrain bearings as described in claim 1, characterized in that, The generated and reproduced working conditions include: Retrieve the offline baseline records, verify the data integrity and consistency with the five fixed measurement points, organize user complaint information, read the operating data, align the complaint time window with the operating data time axis, extract the drive speed range and output torque range, and combine them to generate a reproducible operating condition.

4. The method for handling abnormal noise from vehicle powertrain bearings as described in claim 1 or 3, characterized in that, The implementation of local reversible perturbation and calculation of perturbation reduction includes: Retrieve the reproduced working conditions, candidate segment sequences, and offline benchmark records; extract the shell area, suspension area, frame area, peak points, orifice groups, and orifice sequences; lock the verification boundaries; and generate a verification list. According to the verification list, reversible parts are cut according to the corresponding relationship of shell area, suspension area, frame area and orifice group. Reversible parts are numbered and verification boundaries are bound. The idle stroke reproduction working condition is executed, the sound pressure of the driver's seat measuring point is collected, the idle stroke reduction is calculated, and the disturbance threshold is generated. Local reversible disturbances are implemented according to the candidate segment sequence order, and matching reversible components are called to implement local coverage of the target area. During the cabin segment verification, the corresponding reversible components of the orifice group are called according to the orifice sequence order to run and reproduce the working conditions, collect the baseline sound pressure and the sound pressure after disturbance, and calculate the disturbance reduction.

5. The method for handling abnormal noise from vehicle powertrain bearings as described in claim 1, characterized in that, The generation and installation of permanent sound insulation components includes: Based on the main segment, positioning point, reproducible working condition, segment offset threshold, reference frequency band, five fixed measuring point numbers and target boundary, verify the correspondence between the target boundary and the positioning point and the consistency of the five fixed measuring points, and generate a construction list. Cut permanent sound insulation components according to the construction list, remove reversible components, treat the installation surface, and complete the installation of permanent sound insulation components according to the positioning points and target boundaries, generating installation boundaries and installation positions.

6. The method for handling abnormal noise from vehicle powertrain bearings as described in claim 1, characterized in that, The execution regression determination includes: Based on the construction list, installation boundaries, and installation locations, five fixed measuring points were restored, the working conditions were reproduced, and retest signals were collected to generate retest data. Perform in-band calculations on the reference frequency band for the retested data, recalculate the current segment value, the current coherent mean value, and the segment offset, compare the maximum segment offset with the segment offset threshold, perform a regression determination, and write the data into the maintenance reference if the regression determination is met.

7. A computer device comprising a memory and a processor, wherein the memory stores a computer program, characterized in that, When the processor executes the computer program, it implements the steps of the method for handling abnormal noise in the vehicle powertrain bearings as described in any one of claims 1 to 6.

8. A computer-readable storage medium having a computer program stored thereon, characterized in that, When the computer program is executed by the processor, it implements the steps of the method for handling abnormal noise in the vehicle powertrain bearings as described in any one of claims 1 to 6.

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