25 results about "Transfer path analysis" patented technology

The invention provides a structural engineering bearing capacity field detection method, and belongs to the technical field of structural engineering detection.The structural engineering bearing capacity field detection method comprises the steps that a multi-axial acceleration sensor and a strain gauge array are installed on the surface of a to-be-detected structural member, and an intelligent loading device is adopted to apply incremental loads; a mobile data acquisition terminal is utilized to acquire vibration response data and strain response data in real time, modal parameters are extracted based on a frequency domain analysis method to establish a load-modal parameter relation curve, the bearing capacity of a component is analyzed and calculated, a graph theory shortest path algorithm is adopted to optimize load transmission path analysis, and the load transmission path analysis is optimized. The bearing performance of the component is accurately evaluated through the structural response prediction model based on the Transform architecture, the technical integration of multi-dimensional detection data fusion, intelligent loading control, quantitative bearing capacity evaluation and accurate performance prediction is realized, and the technical problem of insufficient detection precision of the bearing capacity of the structural component is solved.

The invention provides an estimation method and system for a passive side frequency response function in transmission path analysis, and relates to the field of mechanical vibration noise analysis and control. Comprising the following steps: constructing a vibration transmission path model comprising an active subsystem, a transmission path and a passive subsystem; dividing the degree of freedom of the whole structure into four types; selecting at least one position point from the internal degrees of freedom of the passive part as a frequency response function target test point; n non-coupling position points are selected from the internal freedom degree of the active part to serve as reference points; excitation is applied to the reference point and the target test point, and sub-blocks of the overall frequency response function matrix are measured in a coupling state; calculating through a dynamic compensation formula to obtain a frequency response function from a target test point to a coupling point in the decoupling passive subsystem; and carrying out transposition operation to obtain a frequency response function from a coupling point to a target test point required in transmission path analysis. The problem that in traditional transmission path analysis, measurement needs to be carried out after a passive side structure is detached from a coupling system is solved.

The invention discloses a multi-source excitation steam turbine generator set vibration transmission path analysis method. A steam turbine generator set vibration source and the type of a transmission path corresponding to the vibration source are divided; determining M alternative vibration source measuring points near each vibration source of the steam turbine generator set, and randomly selecting m optional vibration source measuring points from M; establishing a working condition transmission path analysis equation from m optional vibration source measuring points of the steam turbine generator unit to n target response measuring points on a unit supporting platform; on the basis of a working condition transmission path analysis equation, m optimal vibration source measuring points are preferably selected from the alternative vibration source measuring points M through a multi-target intelligent optimization algorithm; vibration response signals of m preferable vibration source measuring points and n target response measuring points are synchronously collected through a vibration sensor, and a transfer function matrix is solved. The key vibration source path transmission rule of the steam turbine generator set can be completely reflected, and the method has universality.

The invention discloses a damping element optimization method based on transmission path analysis, which comprises the following steps: S1, establishing a multi-layer transmission path analysis model, and calculating a final transmissibility matrix T'of each path point in the multi-layer transmission path analysis model under a target point vibration contribution analysis peak frequency; s2, calculating a comprehensive contribution degree Di of each path point in the multilayer transmission path analysis model under a target point vibration contribution analysis peak frequency, and extracting a corresponding key transmission path point through the comprehensive contribution degree Di; s3, the damping elements of the key transmission path points obtained in the S2 are optimized, and an optimization result is obtained; according to the method, a multi-layer transmission path analysis model is constructed, the vibration contribution amount of each transmission path in each layer of transmission path model at the maximum peak value and in the whole frequency band is calculated, and finally, through comparison of typical working condition data, a key vibration transmission path with relatively large contribution to the vibration of the driving motor is identified. Therefore, the possibility of optimizing the suspension in the design stage is provided.

The invention discloses a sonar detection distance evaluation method based on OTPA sound source level estimation. Performing multi-factor analysis on the underwater sound wave propagation path based on a transmission path analysis OTPA method, and establishing a sound wave propagation model; state information of the underwater target is monitored in real time; collecting sound wave signal data of the underwater target, constructing a sound wave data matrix, and performing singular value decomposition (SVD) and principal component analysis (PCA) processing to obtain a sound wave signal of the underwater target; and estimating the sound source level of the underwater target, and calculating the detection distance of the underwater target. Through fusion of singular value decomposition and principal component analysis, high-precision estimation of an underwater target sound source level and evaluation of a detected distance of the underwater target sound source level are realized, and the intelligent level and the real-time response capability of a sonar detection system are improved.

The present application relates to a kind of all-weather power grid equipment abnormal sound monitoring device and its sound source positioning method, belong to the technical field of power equipment online monitoring and fault diagnosis.The device includes: multiple microphone units, each microphone unit includes microphone body and the e-PTFE sound-permeable film covered on its surface, for efficiently permeating sound wave while blocking wind and rain erosion;Multiple three-legged stand poles with water-blocking umbrella covers, at least one microphone unit is arranged on each stand pole, and is distributed around the power grid equipment to be monitored;Data processing unit;And solar power supply module and protection cabin.The method includes: setting loudspeaker array at the suspected abnormal sound source position, using exponential sine sweep method to measure the frequency response function matrix of loudspeaker to microphone unit;After removing the loudspeaker, based on the measured frequency response function matrix and the sound pressure signal collected in real time, the abnormal sound source signal is extracted and the path contribution is calculated using the transfer path analysis method based on regularization.

Disclosed is a transfer path analysis method based on modal parameter reconstruction of frequency response function, in which, according to the mechanical structure characteristics of a to-be-tested object and the arrangement of measuring points of the transfer path, one row or one column of a system-level coupled frequency response function matrix is obtained by hammer percussion test and modal parameters are solved; the modal parameters and modal shapes are reconstructed into system unmeasurable frequency response functions by minimum norm least square method, and a system-level coupled frequency response function matrix is obtained; the system-level coupled frequency response function matrix is virtually decoupled by inverse substructure method, and a passive substructure frequency response function matrix is obtained; the interface force between the main and passive substructures and the target point response are inversely solved by using the passive substructure frequency response function matrix, and contribution evaluation is performed.

This application provides a method for calculating vehicle vibration and noise caused by electric air conditioning compressor excitation, including the following steps: conducting a compressor excitation test bench test to obtain the excitation force of the compressor on the vehicle body; establishing a vehicle finite element model; performing finite element frequency response analysis based on the vehicle finite element model and the excitation force to obtain the support reaction force at each compressor bracket system connection point, and obtaining the noise transfer function from each compressor bracket system connection point to the noise target point inside the vehicle; combining the support reaction force and the noise transfer function to perform transmission path analysis to obtain the vibration and noise at the noise target point inside the vehicle. This embodiment uses bench testing and CAE methods to simulate the characteristics of vehicle vibration and noise caused by compressor excitation in the early stages of vehicle development, accurately assessing the impact of electric air conditioning compressor excitation on vehicle vibration and noise. This allows for early detection and optimization of problems in the early stages of the project, avoiding difficulties in structural modifications later in the development process, and improving the NVH optimization effect of the electric vehicle air conditioning system.

The invention discloses a chassis lining rigidity parallel optimization method and system capable of resisting energy deviation, and relates to the technical field of whole vehicle NVH optimization, and the method comprises the steps: carrying out the modeling of a road noise CAE simulation model, carrying out the analysis of a transmission path, calculating the contribution amount, arranging contribution paths in a descending order, and generating a parameterized lining file according to the linings of the contribution paths; performing dynamic polycondensation on the non-optimized region to form a CMS super-unit, generating a super-unit file, constructing a super-unit hybrid architecture based on the super-unit file and the parameterized lining file, and performing precision verification; and calculating a sound pressure value of a target point in the vehicle, converting the sound pressure value into an A weighting sound pressure level, and constructing an anti-energy offset optimization objective function based on a dynamic weighting superscale function of a superstandard frequency point and an adjacent frequency point correlation penalty function.

This invention relates to the fields of data analysis and intelligent marketing technology. Specifically, it relates to a method and system for intelligently generating marketing strategies based on high-dimensional customer profiles. This invention combines event-driven and time-sliding window approaches to obtain category-differentiated decay functions. It updates demand intensity values ​​by setting dynamic decay rates based on product lifecycles and customer stickiness. Through cross-cycle behavior matching and spatiotemporal alignment of demand intensity waveforms, it identifies demand transfer logic chains and labels core demand tags. It aggregates tag strength and commercial factors to generate a list, triggers marketing resource migration with dual thresholds, collects response data, and compares conversion rate deviations to optimize parameters and complete self-calibration. The system includes a demand intensity calculation unit, a demand transfer path analysis unit, a strategy dynamic optimization unit, and a decay calibration feedback unit. This invention solves the problems of strategy lag and resource mismatch, improves marketing accuracy and resource utilization, and adapts to changing demand scenarios in the maternal and infant and home appliance industries.

The application relates to the technical field of automobile noise, in particular to a noise prediction method, device and equipment. A noise prediction method comprises the following steps: obtaining noise prediction data of a range extender, wherein the noise prediction data comprises structural path noise prediction data and air path noise prediction data; respectively determining constraint force and sound load of the range extender according to the structural path noise prediction data and the air path noise prediction data; and determining noise characteristics of the range extender according to the noise prediction data, the constraint force and the sound load based on a component transfer path analysis (CTPA) method. The embodiment of the application can accurately predict noise generated by the range extender under transient working conditions. Meanwhile, even if the structure of a passive component connected to an active component changes, the constraint force and the sound load of the range extender can still be used without needing to perform bench test again, so that the test efficiency is improved.

The application discloses a kind of running conditions under vehicle interior structure road noise diagnostic test method, belong to automobile structure road noise diagnostic technical field, comprising the following steps: S1, establish vehicle transmission path analysis model: define unevenness of road as excitation source, rubber bushing of vehicle chassis suspension system is vibration energy transmission path, vehicle body is as vibration receiving structure;S2, transfer function test and acquisition: obtain two core transfer functions by vehicle body noise transfer function and origin dynamic stiffness test;S3, running condition simulation and sound pressure-acceleration transmission relationship derivation: S4, based on step S3 obtains sound pressure-acceleration transfer function.The running conditions under vehicle interior structure road noise diagnostic test method can be used for the diagnosis optimization of vehicle interior structure road noise, can shorten test cycle, improve transmission path analysis accuracy simultaneously, provide new ideas for transmission path analysis, with good engineering application value.

The invention discloses a multi-shaft speed reducer vibration traceability method and system based on a transmission path analysis method, and belongs to the technical field of speed reducer vibration traceability analysis. The method comprises the following steps: arranging a vibration sensor array and a 1m-radius microphone array on the surface of a speed reducer, and synchronously acquiring sound vibration signals; constructing a transfer function matrix through a reciprocity method; converting the frequency domain signal by adopting short-time Fourier transform; using an improved self-adaptive hyperbolic compression threshold wavelet algorithm to reduce noise; screening an effective transmission path based on partial coherence-heavy coherence composite analysis, and perfecting a path set through a confidence level grading mechanism (A-level gamma2 is greater than or equal to 0.85, and B-level 0.7 is less than or equal to gamma2lt, 0.85); and quantifying the path contribution degree to realize vibration traceability. The problem of insufficient coverage of a multi-source aliasing path is solved, the main path identification efficiency is improved by more than 40%, and the contribution error is less than or equal to 3dB.

The present application relates to the technical field of commercial vehicles, and specifically provides a robustness optimization method for a commercial vehicle suspension system, comprising the following steps: establishing a power assembly coordinate system, a power assembly mass matrix and a stiffness matrix, and constructing an expression of system natural frequency and decoupling rate; performing a transmission path analysis, and establishing a mathematical relationship between suspension design parameters and an in-vehicle target point; analyzing the sensitivity of an objective function to variables, and determining design variables and parameter variables; using an interval model to represent design variables, using a probability model to represent parameter variables, and constructing an interval-probability model to describe the uncertainty of suspension system variables; using Monte Carlo random number simulation technology to perform multi-objective robustness optimization; and performing Monte Carlo analysis on the optimization results, and evaluating the robustness of the suspension system. Based on the transmission path analysis method, the response of the suspension system and the in-vehicle target point of interest is linked, and vibration isolation and noise reduction at the vehicle level is achieved.

The application discloses a kind of automobile multi-body dynamics modeling method and system, method includes according to the vibration model of automobile and Lagrange equation, establishes initial multi-body dynamics model;Through the analysis method of working condition transmission path, precision index is established;According to the load spectrum data and iteration condition collected in each road condition, initial multi-body dynamics model is virtually iterated and checked, and whether each local model and initial multi-body dynamics model meets the requirement of precision index is judged respectively, if all meet the requirement, initial model is used as optimal model;For any local model that does not meet the requirement, iteration is continued until all local models meet the precision requirement, then overall optimization is carried out;Local meets the requirement, and initial multi-body dynamics model does not meet the requirement, then overall optimization is carried out, and orthogonal latin hypercube experiment and response surface optimization evaluation are carried out;Finally, optimal multi-body dynamics model is established.This embodiment effectively improves the precision, reliability and applicability of modeling.

The application discloses a multi-shaft reducer vibration tracing method and system based on a transfer path analysis method, and belongs to the technical field of reducer vibration tracing analysis. The method comprises the following steps: arranging a vibration sensor array and a 1m radius microphone array on the surface of a reducer, and synchronously collecting sound and vibration signals; constructing a transfer function matrix through a reciprocity method; converting frequency domain signals through a short-time Fourier transform; reducing noise by using an improved adaptive hyperbolic compression threshold wavelet algorithm; screening effective transfer paths based on partial coherence-recoherence composite analysis, and perfecting a path set through a confidence level grading mechanism (A level γ 2 ≥0.85, B level 0.7≤γ 2 <0.85); and quantifying path contribution to realize vibration tracing. The method solves the problem of insufficient coverage of mixed paths from multiple sources, improves the main path recognition efficiency by more than 40%, and the contribution error is less than or equal to 3dB.

The invention relates to a noise reduction method of an intelligent electric appliance and the intelligent electric appliance thereof.The intelligent electric appliance is provided with an air inlet and an air outlet, the air inlet and the air outlet are each provided with a flow guide part, and the angle and height of each flow guide part are adjustable. The noise contribution amount from the air inlet to the target monitoring point and the noise contribution amount from the air outlet to the target monitoring point are calculated based on a working condition transmission path analysis method; according to the size relation and the positive and negative characteristics, the adjusting path and strategy of the flow guide part are determined, so that optimal control over the angle and height of the flow guide part is achieved. The noise reduction method has the advantages that the noise contribution of the air inlet and the noise contribution of the air outlet can be accurately distinguished, data support is provided for noise reduction optimization, and the noise reduction effect is better.

The application discloses an accelerating rough sound optimization method and system and a storage medium, which comprises the following steps: step one, arranging cylinder pressure, torsional vibration, vibration sensor and microphone on a whole vehicle; step two, the whole vehicle drives according to a set working condition, and first test data is collected; step three, the whole vehicle drives according to a problem working condition, and second test data is collected; step four, the second test data is analyzed to determine an excitation source of the accelerating rough sound in the vehicle; step five, a whole vehicle model is established by using an Operational Transfer Path Analysis module of LMS software, the first test data is imported into the whole vehicle model, and initial transfer functions on each transfer path are calculated; step six, the initial transfer functions and the second test data are imported into the whole vehicle model, and the main transfer path with the largest contribution to the noise in the vehicle under the problem working condition is calculated; and step seven, the excitation source and structural members on the main transfer path are optimized. The accelerating rough sound in the vehicle can be optimized from the excitation source and the transfer path, and the comfort is effectively improved.

The application discloses a kind of based on multi-working condition topological optimization car body design method, device and storage medium, wherein, method part includes: according to the design boundary of car body determines car body finite element model, multiple working condition loads are loaded to car body finite element model, to obtain car body topological optimization analysis model, multiple working condition loads include static stiffness working condition load, dynamic stiffness working condition load and crash working condition load;Car body topological optimization analysis model is iteratively solved to obtain the target topological optimization result satisfying multi-working condition mass optimization target, and load transfer path analysis is carried out according to the target topological optimization result, obtains the target load transfer path of car body, determines car body frame model according to target load transfer path.The present application considers stiffness, NVH and crash performance simultaneously, and a car body system satisfying the performance target of car body and a high level of lightweight can be obtained, and the design efficiency and accuracy are improved.

The present application relates to the field of signal processing of mechanical system, and particularly relates to a working condition transmission path analysis method, comprising the following steps: establishing a finite element model at the passive end of a machine; arranging acceleration sensors and strain sensors at a reference point and a target point of the machine, and obtaining acceleration and strain information of the reference point and the target point respectively under the operating condition of the machine, and constructing a target point response matrix; estimating optimal state variables according to the acceleration and strain information of the reference point, wherein the optimal state variables contain interface forces of the reference point, and constructing an interface force matrix; performing fast Fourier transform on the target point response matrix and the interface force matrix; constructing a transmission rate function; and calculating total contribution of each transmission path. The present application can eliminate the influence of crosstalk to a certain extent, and improve the accuracy and stability of the transmission rate function.

The application provides a train running gear bearing fault real-time detection method and device and a train, which can be applied to the field of rail transit technology. The method comprises the following steps: acquiring a characteristic value of a real-time vibration acceleration signal of a train end running gear bearing; dynamically matching the characteristic value of the simulation vibration acceleration signal with the characteristic value of the real-time vibration acceleration signal to obtain a nonlinear relationship between the characteristic value of the real-time vibration acceleration signal and a test fault defect size; processing an estimated fault defect size obtained by inversion of the nonlinear relationship based on a fault displacement excitation, a bearing radial clearance and attribute parameters, real-time working condition parameters and a real-time load spectrum of the running gear bearing to obtain a vibration acceleration initial simulation signal, performing real-time transfer path analysis on the vibration acceleration initial simulation signal to obtain a vibration acceleration simulation signal; and performing real-time processing on the vibration acceleration simulation signal received by the train end to obtain a fault real-time detection result of the running gear bearing.

The invention discloses a marine mechanical vibration source OTPA method for eliminating the problem of inter-source coupling and discomfort, and the method comprises the steps: determining a target of the transmission path analysis of a working condition of mechanical equipment, and selecting m vibration source measurement points and n target measurement points of at least one piece of mechanical equipment; constructing an independent vibration source measuring point matrix and a mixed vibration source signal matrix, and solving a transfer function matrix; and solving a transmissibility matrix Tm * n by using a truncated total least square regularization algorithm in combination with the vibration source measurement point mixed vibration signal matrix, the target measurement point matrix and the transfer function matrix measured under the d working conditions. According to the method, on the basis of multi-vibration-source signal convolution aliasing characteristics, a cross transfer function among a plurality of coupled vibration sources can be obtained by means of modes with extremely high operability, such as starting of single equipment in a ship or auxiliary manual excitation, and vibration source signals for eliminating coupling among the sources can be calculated in combination with actually measured vibration response of any working condition.

The invention relates to the technical field of automobile noise, in particular to a noise prediction method, device and equipment. The noise prediction method comprises the steps that noise prediction data of a range extender are acquired, and the noise prediction data comprise structural path noise prediction data and air path noise prediction data; according to the structure path noise prediction data and the air path noise prediction data, the constraint force and the sound load of the range extender are determined; and determining the noise characteristics of the range extender according to the noise prediction data, the constraining force and the acoustic load based on a CTPA method. According to the embodiment of the invention, the noise generated by the range extender under the transient working condition can be accurately predicted. Meanwhile, even if the structure of the passive component connected with the active component changes, bench test data and the constraining force and the acoustic load of the range extender can still be used, bench test does not need to be carried out again, and the test efficiency is improved.

The invention discloses a vehicle interior structure road noise diagnosis test method under an operation condition, and belongs to the technical field of vehicle structure road noise diagnosis, and the method comprises the following steps: S1, building a vehicle transmission path analysis model: defining road surface unevenness as an excitation source, defining a rubber bushing of a vehicle chassis suspension system as a vibration energy transmission path, and building a vehicle transmission path analysis model; the vehicle body serves as a vibration receiving structure; s2, test and acquisition of transfer functions: acquiring two core transfer functions through a vehicle body noise transfer function and an original point dynamic stiffness test; s3, operation condition simulation and sound pressure-acceleration transfer relation derivation; and S4, a sound pressure-acceleration transfer function is obtained based on the step S3. The vehicle interior structure road noise diagnosis test method under the operation condition can be used for diagnosis optimization of vehicle interior structure road noise, the test period can be shortened, meanwhile, the transmission path analysis precision is improved, a new thought is provided for transmission path analysis, and good engineering application value is achieved.

The application provides a structural engineering bearing capacity on-site detection method, and belongs to the technical field of structural engineering detection.The application installs multi-axial acceleration sensors and strain gauge arrays on the surface of a structure component to be detected, applies incremental load by using an intelligent loading device, collects vibration response data and strain response data in real time by using a mobile data collection terminal, extracts modal parameters based on a frequency domain analysis method to establish a load-modal parameter relationship curve, analyzes and calculates the bearing capacity of the component, optimizes a load transfer path analysis by using a graph theory shortest path algorithm, and accurately evaluates the bearing performance of the component by using a structure response prediction model based on a Transformer architecture, so that technical integration of multi-dimensional detection data fusion, intelligent loading control, quantitative bearing capacity evaluation and accurate performance prediction is realized, and the technical problem of insufficient detection precision of the bearing capacity of the structure component is solved.