Abnormal sound tracking and processing method for structure

Abstract

The present invention relates to an abnormal sound tracking and processing method using a plurality of vibration sensing units, comprising: a vibration sensing step of sensing vibration of a structure; a data learning step: receiving the perceived vibration as a related signal of the vibration degree, and learning related data of the vibration degree; a triggering step: triggering when the signal level of the learned related data of the vibration degree exceeds a specific threshold value; and an arrival order and maximum amplitude calculation step in which the arrival order is calculated using the trigger time point as the arrival time, and the maximum amplitude of the signal level of the data relating to the vibration degree is calculated.

Description

Technical Field

[0001] The invention relates to an abnormal sound tracking device for analyzing the occurrence position of abnormal sound or noise source of a structure.

[0002] The object of the present invention is to provide an abnormal noise tracking and processing method for tracking the location where the abnormal noise of a vehicle occurs. Background Art

[0003] Structures such as vehicles are made of many parts, so various abnormal noises or noises may occur.

[0004] Such abnormal noise or noise includes various noises such as noise generated by simultaneous resonance of specific frequencies generated by various components and noise generated from the joints of opposing components.

[0005] As mentioned above, the abnormal noise or noise generated from the vehicle is collectively referred to as BSR (Buzz, Squeak, Rattle) noise.

[0006] BSR noise is an important factor in determining the quality satisfaction of structures such as vehicles.

[0007] Recently, vehicle NVH (Noise, Vibration, Harshness) accounts for the largest proportion of customer dissatisfaction.

[0008] The BSR noise mentioned above can be divided into buzzing noise caused by the vibration of the component panel itself, squeak noise caused by the friction between components, and rattle noise caused by the collision between components.

[0009] BSR noise may occur or not, and the noise level and location of the noise source may vary depending on the road conditions and driving status, the characteristics of the vehicle structure and decorative parts, the vehicle and the year of the vehicle.

[0010] In order to solve the BSR noise problem, the "find and fix" method that relies on subjective evaluation by relevant experts has been used in the past.

[0011] However, the above methods are difficult to evaluate BSR quantitatively and objectively.

[0012] Furthermore, if consumers subsequently express dissatisfaction due to BSR noise, the decision on whether to repair the corresponding parts will be made based on the subjective evaluation of the repair station technicians, thus deepening the conflict between automobile manufacturers and consumers. Summary of the invention

[0013] Technical problem to be solved by the invention

[0014] The object of the present invention is to provide a method for tracking and processing abnormal noises of a structure.

[0015] The object of the present invention is to provide an abnormal noise tracking and processing method for tracking the location where the abnormal noise of a vehicle occurs.

[0016] Technical solutions to the problem

[0017] The present invention relates to an abnormal noise tracking and processing method using multiple vibration sensing units, comprising: a vibration sensing step, sensing the vibration of a structure; a data learning step, receiving the sensed vibration as a signal related to the vibration degree, and learning the relevant data of the vibration degree; a triggering step, triggering when the signal level of the learned relevant data of the vibration degree exceeds a specific threshold; and an arrival order and maximum amplitude calculation step, calculating the arrival order by taking the trigger time point as the arrival time, and calculating the maximum amplitude of the signal level of the relevant data of the vibration degree.

[0018] The present invention relates to a method for sensing the vibration of a structure, receiving the sensed vibration as a signal related to the vibration degree, and tracking and processing abnormal noise based on data representing the position of a noise source generated after learning the related data of the vibration degree, comprising: a triggering step, which is triggered when the signal level of the learned related data of the vibration degree exceeds a specific threshold; and an arrival order and maximum amplitude calculation step, which calculates the arrival order using the trigger time point as the arrival time, and calculates the maximum amplitude of the signal level of the related data of the vibration degree.

[0019] The present invention relates to a method for sensing the vibration of a structure and receiving the sensed vibration as a signal related to the degree of vibration, and tracking and processing abnormal noise based on data representing the location of a noise source generated after learning relevant data on the degree of vibration, wherein the signal related to the degree of vibration is output in the form of a vibration level signal, and the vibration level signal represents the acceleration of the vibration.

[0020] The present invention relates to a method for sensing the vibration of a structure, receiving the sensed vibration as a signal related to the degree of vibration, tracking and processing abnormal noise based on data representing the location of the noise source generated after learning the relevant data of the vibration degree, and also includes: a recognition step, in which a user recognizes the adjacent location of the noise source through the arrival sequence.

[0021] The present invention relates to a method for sensing the vibration of a structure, receiving the sensed vibration as a signal related to the vibration degree, and tracking and processing abnormal noise based on data representing the location of a noise source generated after learning the related data of the vibration degree, including: a triggering step, which is triggered when the signal level of the learned related data of the vibration degree exceeds a specific threshold.

[0022] The present invention relates to a method for sensing the vibration of a structure and receiving the sensed vibration as a signal related to the degree of vibration, and tracking and processing abnormal noise based on data representing the location of a noise source generated after learning relevant data on the degree of vibration, wherein the signal related to the degree of vibration is output in the form of a vibration level signal, and the vibration level signal represents the acceleration of the vibration.

[0023] The present invention relates to a method for sensing the vibration of a structure, receiving the sensed vibration as a signal related to the vibration degree, and tracking and processing abnormal noise based on data representing the position of a noise source generated after learning the related data of the vibration degree, comprising: an arrival sequence and maximum amplitude calculation step, calculating the arrival sequence by taking the trigger time point as the arrival time, and calculating the maximum amplitude of the signal level of the related data of the vibration degree, and also comprising: a recognition step, in which a user recognizes the adjacent location of the noise source through the arrival sequence.

[0024] The present invention relates to an abnormal noise tracking and processing device using multiple vibration sensing units, comprising: multiple vibration sensing units, which sense the vibration of a structure; a data learning unit, which receives relevant signals of the vibration degree output from the multiple vibration sensing units and learns relevant data of the vibration degree; a data calculation unit, which receives the relevant data of the vibration degree output from the data learning unit and calculates data representing the position of a noise source; and a display unit, which displays the data representing the position of the noise source.

[0025] The present invention relates to an abnormal noise tracking and processing device using multiple vibration sensing parts, wherein the relevant signal of the vibration degree is output in the form of a vibration level signal, and the vibration level signal represents the acceleration of the vibration.

[0026] The present invention relates to an abnormal sound tracking and processing device using multiple vibration sensing units, wherein the data calculation unit triggers a signal level in the vibration level signal that exceeds a positive threshold and a negative threshold, and determines the specific time of the trigger and the specific signal level as valid data.

[0027] The present invention relates to an abnormal sound tracking and processing device using multiple vibration sensing units, wherein the data calculation unit is set as a first window and a second window in a specific time interval in the vibration level signal, and the signal level exceeding the positive threshold is triggered by the ratio of the RMS value of the first window to the second window, and the specific time of triggering and the specific signal level are determined as valid data.

[0028] The present invention relates to an abnormal noise tracking and processing device utilizing a plurality of vibration sensing units, wherein the data calculation unit digitizes the waveform of the signal level of a medium to be compared and stores it in memory, and determines the location of one of the plurality of channels that displays a waveform of a signal level similar to the waveform of the signal level of the medium to be compared as a location adjacent to a noise source.

[0029] The present invention relates to an abnormal noise tracking and processing device using multiple vibration sensing units, comprising: a data learning unit, which receives relevant signals of vibration levels output from multiple vibration sensing units that sense the vibration of a structure, and learns relevant data on the vibration levels; a data calculation unit, which receives the relevant data on the vibration levels output from the data learning unit, and calculates data indicating the location of a noise source; and a display unit, which displays the data indicating the location of the noise source.

[0030] The present invention relates to an abnormal noise tracking and processing device using multiple vibration sensing parts, wherein the relevant signal of the vibration degree is output in the form of a vibration level signal, and the vibration level signal represents the acceleration of the vibration.

[0031] The present invention relates to an abnormal sound tracking and processing device using multiple vibration sensing units, wherein the data calculation unit triggers a signal level in the vibration level signal that exceeds a positive threshold and a negative threshold, and determines the specific time of the triggering and the specific signal level as valid data.

[0032] The present invention relates to an abnormal sound tracking and processing device using multiple vibration sensing units, wherein the data calculation unit sets a first window and a second window as specific time intervals in the vibration level signal, triggers a signal level exceeding a positive threshold through the ratio of the RMS values ​​of the first window and the second window, and determines the triggered specific time and the specific signal level as valid data.

[0033] The present invention relates to an abnormal noise tracking and processing device using multiple vibration sensing parts, including: a data learning part, which receives relevant signals of vibration levels output from multiple vibration sensing parts that sense the vibration of a structure, and learns relevant data of the vibration levels.

[0034] The present invention relates to an abnormal noise tracking and processing device using multiple vibration sensing parts, wherein the relevant signal of the vibration degree is output in the form of a vibration level signal, and the vibration level signal represents the acceleration of the vibration.

[0035] The present invention relates to an abnormal noise tracking and processing device using multiple vibration sensing units, including: a data calculation unit, which receives relevant data on the vibration degree output from the data learning unit, and calculates data representing the location of the noise source, and the data calculation unit triggers the signal level in the vibration level signal that exceeds the positive threshold and the negative threshold, and determines the specific time of triggering and the specific signal level as valid data.

[0036] The present invention relates to an abnormal noise tracking and processing device using multiple vibration sensing units, including: a data calculation unit, which receives relevant data of the vibration degree output from the data learning unit, and calculates data representing the location of the noise source, and the data calculation unit is set as a first window and a second window as specific time intervals in the vibration level signal, and triggers a signal level exceeding a positive threshold through the ratio of the RMS values ​​of the first window and the second window, and determines the triggered specific time and the specific signal level as valid data.

[0037] Effects of the Invention

[0038] According to the present invention, it is possible to track the location where a noise source of a structure occurs.

[0039] According to the present invention, the arrival order of each channel displayed on the screen can be understood.

[0040] According to the present invention, even if one is not an expert in vibration noise, one can easily recognize data and trace the location of the noise source. BRIEF DESCRIPTION OF THE DRAWINGS

[0041] Figure 1 A diagram for explaining the operation of an abnormal noise tracking and processing device using a plurality of vibration sensing units according to an embodiment of the present invention;

[0042] Figure 2a A block diagram showing the overall structure of an abnormal sound tracking and processing device according to an embodiment of the present invention;

[0043] Figure 2b A three-dimensional diagram of an abnormal noise tracking and processing device according to an embodiment of the present invention;

[0044] Figure 2c It is a front view of an abnormal noise tracking and processing device according to an embodiment of the present invention;

[0045] Figure 2d It is a rear view of an abnormal noise tracking and processing device according to an embodiment of the present invention;

[0046] Figure 3a A schematic diagram of a display screen for explaining the operation of an abnormal sound tracking and processing device according to an embodiment of the present invention;

[0047] Figure 3b FIG. 1 is a diagram showing a display screen of abnormal sound tracking displayed in an abnormal sound tracking and processing device according to an embodiment of the present invention;

[0048] Figure 4 A diagram for explaining a simple trigger specific method for analyzing the triggering of an abnormal sound tracking and processing device according to an embodiment of the present invention;

[0049] Figure 5 A drawing for explaining a trigger analysis method of an abnormal sound tracking and processing device according to an embodiment of the present invention, namely, a picking window measurement method;

[0050] Figure 6 A diagram for explaining a trigger analysis method, namely a cross correlation measurement method, of an abnormal sound tracking and processing device according to an embodiment of the present invention;

[0051] Figure 7 A flowchart of an abnormal noise tracking and processing method according to an embodiment of the present invention;

[0052] Figure 8 The figure shows the screen structure used for post-processing analysis of abnormal noise tracking according to one embodiment of the present invention.

[0053] Description of Reference Numerals

[0054] 10: Vibration sensing unit 11: Data learning unit

[0055] 12: Housing 13: Display unit

[0056] 14: Cable 15: Handle

[0057] 30: Data calculation unit 31: Calculation program

[0058] 100: Abnormal sound tracking and processing device

[0059] S10: Vibration Sensing Step

[0060] S20: Data learning step

[0061] S30: Bandpass filter application steps

[0062] S40: Triggering step

[0063] S50: Signal arrival order and maximum amplitude calculation steps

[0064] S60: Display steps

[0065] S70: Cognitive Steps DETAILED DESCRIPTION

[0066] The abnormal noise tracking and processing device and method according to the present invention will be described in detail below with reference to the accompanying drawings.

[0067] Figure 1 The figure is used to illustrate the operation of the abnormal sound tracking and processing device using multiple vibration sensing units according to one embodiment of the present invention.

[0068] Figure 3a It is a schematic diagram of a display screen for explaining the operation of the abnormal sound tracking and processing device according to one embodiment of the present invention.

[0069] Reference Figure 1 and Figure 3a , illustrating the overall operation of an abnormal sound tracking and processing device using a plurality of vibration sensing units 10 according to one embodiment of the present invention.

[0070] Each vibration sensing unit 10 is installed at a location on the structure where a vibration event may occur.

[0071] The number of the vibration sensing parts 10 may be plural, such as four or eight.

[0072] If the number of the vibration sensing units 10 is 4 or 8, the data calculation unit 30 can easily calculate.

[0073] The vibration sensing unit 10 may be an accelerometer 10 that measures the acceleration of vibration.

[0074] For example, Figure 1 As shown, four accelerometers 10 are mounted at four different locations of a structure, such as a car.

[0075] Each vibration sensing unit 10 can sense vibration at a location where it is installed on a structure.

[0076] The vibration sensing unit 10 senses the degree of vibration at the installation location.

[0077] The degree of vibration means the quantitative size of the vibration.

[0078] The vibration sensing unit 10 senses the vibration and outputs a signal related to the degree of vibration.

[0079] According to one embodiment of the present invention, the signal related to the vibration degree is output in the form of a vibration level signal.

[0080] For example, if the vibration sensing unit 10 is an accelerometer 10 , the vibration sensing unit 10 senses the degree of vibration through the vibration acceleration of the attached position.

[0081] The vibration sensing unit 10 outputs a vibration level signal indicating the acceleration of the vibration as a signal related to the sensed vibration degree.

[0082] According to an embodiment of the present invention, the vibration sensing unit 10 may output an analog signal proportional to the vibration level as the vibration level-related signal.

[0083] The vibration level signal may be an analog signal proportional to the acceleration of the vibration.

[0084] The data learning unit 11 receives the vibration level-related signal outputted from the vibration sensing unit 10 from each channel, and learns the vibration level-related data.

[0085] If the signal related to the vibration degree output from the vibration sensing unit 10 is an analog signal, the data learning unit 11 receives the corresponding analog signal from each channel and converts it into digital data to learn the data related to the vibration degree.

[0086] The data learning unit 11 outputs the learned data on the vibration level.

[0087] The data learning unit 11 may output the data related to the vibration level in the form of a digital signal.

[0088] The data learning unit 11 may convert the data on the vibration degree into a serial communication format and output the converted data in the form of a serial communication signal.

[0089] At this time, the data related to the vibration degree may be output in the form of a serial communication signal through the serial communication signal bus (USB) cable 14 .

[0090] The calculation program 31 of the data calculation unit 30 receives the data on the vibration degree output from the data learning unit 11 in the form of a digital signal.

[0091] According to one embodiment of the present invention, when the data learning unit 11 learns the relevant signals of the vibration degree occurring at different positions of the structure sensed by the vibration sensing unit 10 according to each channel, the calculation program 31 of the data calculation unit 30 receives the relevant data of the vibration degree output from the data learning unit 11 in the form of a digital signal, and calculates the data about the position of the noise source to track the position of the noise source.

[0092] According to an embodiment of the present invention, a vibration level signal is transmitted to the data learning unit 11 , wherein the vibration level signal indicates that the vibration level of the vibration sensing unit 10 attached closer to the vibration generating location among the plurality of vibration sensing units 10 is greater.

[0093] For example, the vibration level signal may be a signal in which the greater the vibration level, the greater the amplitude of the signal.

[0094] If the vibration sensing unit 10 is an accelerometer 10 , the greater the acceleration of the vibration, the greater the vibration level is determined to be, and a vibration level signal with a large amplitude is output.

[0095] For example, Figure 3b As shown, it can be understood that among the multiple channels sensed from the multiple vibration sensing units 10, the amplitude of the vibration level signal learned from the first channel (Ch1) is the largest.

[0096] thereby, Figure 3b In the display screen shown in , only the first channel (ch1) is selected and the first channel (ch1) is displayed alone in the upper area.

[0097] After the position of the noise source is tracked using the plurality of vibration sensing units 10 , the plurality of vibration sensing units 10 are moved to the vicinity of a location where a maximum vibration level signal is displayed in each channel.

[0098] For example, Figure 3b As shown, the plurality of vibration sensing units 10 are moved toward the vicinity of a location associated with the first channel (Ch1) where the amplitude of the vibration level signal is the largest.

[0099] After the plurality of vibration sensing units 10 are moved, the data learning unit (DAQ) 11 again learns the correlation data of the vibration levels of the respective channels based on the correlation signals of the vibration levels occurring at different positions of the structure.

[0100] Continue to follow the above method to find the specific location of the noise source.

[0101] The data calculation unit 30 calculates data indicating the position of the noise source through the calculation program 31 based on the data related to the vibration level output in the form of a digital signal output from the data learning unit 11 .

[0102] The data indicating the location of the noise source can be calculated by a triggering technique or a cumulative display technique, etc.

[0103] The data calculation unit 30 triggers a corresponding specific time when the amplitude of the vibration exceeds a preset threshold or falls below a preset threshold.

[0104] When a trigger occurs, the calculation program 31 assigns the arrival order and the maximum amplitude value of the corresponding trigger to each trigger.

[0105] The calculation program 31 accumulates the number of trigger occurrences and the arrival order for each channel, starting with the first accumulation.

[0106] The data calculation unit 30 displays the vibration level signal of the channel having the maximum value in the first cumulative cumulative value of the cumulatively calculated arrival order on the display unit 13 .

[0107] The data indicating the location of the noise source may include a vibration level signal arriving at a channel having a maximum value accumulated first in order.

[0108] The user can recognize through the display unit 13 that noise has occurred at the position closest to the location where the vibration sensing unit 10 corresponding to the channel having the maximum value of the first sequential accumulation in the arrival order is located.

[0109] The data calculation unit 30 displays the vibration level data learned by the data learning unit 11 and the vibration level signal of the channel having the maximum value in the first sequential accumulation in the arrival order acquired by the data calculation unit 30 on the display unit 13 .

[0110] like Figure 3a As shown, the display unit 13 displays the related signals based on the vibration levels sensed by the plurality of vibration sensing units 10, the data on the vibration levels of the respective channels learned by the data learning unit 11, and the vibration level signal of the channel having the maximum value in the first order of arrival calculated by the data calculation unit 30.

[0111] Figure 3b The vibration level data actually displayed on the display unit 130 of the data calculation unit 30 according to one embodiment of the present invention and the vibration level signal of the channel having the maximum value in the first order of arrival are shown.

[0112] Abnormal sound tracking and processing device of the present invention

[0113] Figure 2a and Figure 2b 1 is a block diagram and a stereoscopic diagram of an abnormal sound tracking and processing device according to an embodiment of the present invention.

[0114] Figure 7 The flowchart of the multi-channel abnormal noise tracking and processing method according to one embodiment of the present invention.

[0115] The abnormal noise tracking and processing device 100 of the present invention includes a data calculation unit 30 , a data learning unit (DAQ) 11 , and a housing 12 .

[0116] Data Calculation Department

[0117] The data calculation unit 30 is connected to the data learning unit 11 via a cable 14 .

[0118] Specifically, the cable 14 is a cable capable of USB communication.

[0119] Also, the cable 14 may use a LAN port or wirelessly.

[0120] like Figure 2b As shown, the data calculation unit 30 can be a notebook computer or a tablet computer.

[0121] like Figure 2a As shown, the data calculation unit 30 may include a display unit 13 .

[0122] like Figure 2b As shown, if the data calculation unit 30 is a notebook computer or a tablet computer, the display unit 13 can be a display screen of the notebook computer or the tablet computer.

[0123] According to an embodiment of the present invention, the data calculation unit 30 calculates data indicating the location of the noise source by using a trigger technique and a cumulative display technique through a calculation program 31 based on the vibration level related data transmitted from the data learning unit 11 .

[0124] The user recognizes the location of the vibration sensing unit 10 in the channel having the maximum value in the first sequential accumulation as the location adjacent to the noise source through the display unit 13 of the data calculation unit 30 .

[0125] The arrival order refers to the order in which the signals related to the vibration levels sensed from the respective channels arrive at the data learning unit 11 .

[0126] According to an embodiment of the present invention, the data calculation unit 30 uses the software of the data calculation unit 30 to cumulatively calculate the number of trigger occurrences of each channel, and accumulates the number of trigger occurrences and the arrival order of the triggers of each channel.

[0127] The data calculation unit 30 calculates the number of occurrences of the trigger and the cumulative arrival order of the trigger, and displays the vibration level signal of the channel having the largest cumulative value in the first arrival order on the display unit 13 .

[0128] like Figure 2a As shown, the data calculation unit 30 connected to the data learning unit (DAQ) 11 via the cable 14 calculates data indicating the position of the noise source using a trigger technique and a cumulative display technique.

[0129] like Figure 7 As shown, the calculation program 31 calculates data indicating the position of the noise source by using the trigger technique and the cumulative display technique based on the data learned by the data learning unit 11 .

[0130] like Figure 1 , Figure 2a As shown, the data learning unit 11 is connected to a plurality of vibration sensing units 10 installed at a location where a vibration event occurs, such as a vehicle body, and learns data related to the vibration degree.

[0131] The data learning unit 11 receives the vibration level correlation signal of each channel outputted by the vibration sensing unit 10 and learns the vibration level correlation data.

[0132] If the signal related to the vibration degree outputted by the vibration sensing unit 10 is an analog signal, the data learning unit 11 receives the analog signal corresponding to each channel and converts it into digital data to learn the data related to the vibration degree.

[0133] The data learning unit 11 outputs the learned data on the vibration level.

[0134] The data learning unit 11 may output the data related to the vibration level in the form of a digital signal.

[0135] The data learning unit 11 may convert the data on the vibration degree into a serial communication format and output the converted data in the form of a serial communication signal.

[0136] At this time, the data related to the vibration degree may be output in the form of a serial communication signal through the serial communication signal bus (USB) cable 14 .

[0137] The data calculation unit 30 receives the digital signal output by the data learning unit 11 .

[0138] shell

[0139] like Figure 2a to Figure 2c As shown, the housing 12 supports the data calculation unit 30 and the data learning unit 11 .

[0140] like Figure 2a and 2c As shown, the housing 12 can hold the data learning unit 11 between the housing 12 and the data calculation unit 30 to maintain the data learning unit 11 .

[0141] And, if Figure 2d As shown, in order to facilitate the user to hold, the housing 12 is formed with a holding portion 15 .

[0142] The grip portion 15 is made of a rubber material having friction so as to prevent the user's hand from slipping when carrying the housing 12 .

[0143] Operation of abnormal noise tracking and processing device

[0144] Method for obtaining data indicating the location of a noise source

[0145] Figure 1 The figure is used to illustrate the operation of the abnormal sound tracking and processing device using multiple vibration sensing units according to one embodiment of the present invention.

[0146] Figure 7 The figure is a flow chart of an abnormal noise tracking and processing method according to an embodiment of the present invention.

[0147] According to an embodiment of the present invention, BSR analysis is used as a method of acquiring data representing the location of a noise source.

[0148] BSR analysis is a software analysis method that uses vibration sensors to locate the source of abnormal sounds or noises in a vehicle.

[0149] The basic principle of the BSR analysis tracking method involves the use of time delay.

[0150] like Figure 7 As shown, the abnormal sound tracking and processing method using multiple vibration sensing units of the present invention includes: a vibration sensing step S10; a data learning step S20; a bandpass filter application step S30; a triggering step S40; an arrival order and maximum amplitude calculation step S50; and a display step S60.

[0151] As shown in the figure, the vibration sensing step S10 is performed by the vibration sensing unit 10 .

[0152] In the vibration sensing step S10 , the vibration of the structure is sensed by using a plurality of vibration sensing units 10 located at different locations.

[0153] Sensing vibrations of structures may include tracking Figure 1 The complex shape of the vehicle body or the abnormal noise of the vehicle is shown.

[0154] The data learning step S20 is executed by the data learning unit 11 .

[0155] In the data learning step S20 , the data learning unit 11 receives the vibration level correlation signal outputted from the vibration sensing unit 10 for each channel, and learns the vibration level correlation data.

[0156] If the signal related to the vibration degree output by the vibration sensing unit 10 is an analog signal, the data learning unit 11 receives the corresponding analog signal input for each channel, converts it into digital data, and learns the data related to the vibration degree.

[0157] Figure 3a It is a schematic diagram of a display screen for explaining the operation of the abnormal sound tracking and processing device according to one embodiment of the present invention.

[0158] Figure 3b The figure is a diagram showing a display screen for abnormal sound tracking displayed on the abnormal sound tracking and processing device according to one embodiment of the present invention.

[0159] like Figure 7 As shown, the bandpass filter application step S30 , the triggering step S40 , and the signal arrival order and maximum amplitude calculation step S50 are executed by the data calculation unit 30 .

[0160] In the triggering step S40 , the calculation program 31 built in the data calculation unit 30 triggers a corresponding time when the amplitude of the vibration in the signal indicating the degree of vibration of each channel sensed by the vibration sensing unit 10 exceeds a threshold value.

[0161] Furthermore, the calculation program 31 is also triggered when the amplitude of vibration in the signal indicating the vibration level is lower than a threshold value.

[0162] According to an embodiment of the present invention, the calculation program 31 is a program for tracking abnormal noise using BSR analysis, and is built into the data calculation unit 30 .

[0163] As shown in FIG. 3 , the algorithm program 31 includes software for tracking positions using a plurality of vibration sensing units 10 .

[0164] The calculation program 31 displays the vibration level signal of the channel having the maximum value in the first cumulative order of arrival on the display unit 13 , and the data calculation unit 30 calculates data indicating the position of the noise source by the calculation program 31 using the trigger technology and the cumulative display technology.

[0165] The user can view the display unit 13 to recognize the channel having the largest value in the first order of arrival.

[0166] Specifically, the user can recognize, by looking at the display unit 13 , that the location of the channel having the largest value in the first sequential accumulation of the arrival order is the location closest to the location where the noise source occurs.

[0167] In the signal arrival order and maximum amplitude calculation step S50 , the data calculation unit 30 assigns an arrival order to each channel using the trigger time point as the arrival time, and stores the maximum amplitude of each channel.

[0168] A bandpass filter application step S30 may be included between the data learning step S20 and the signal arrival order and maximum amplitude calculation step S50 .

[0169] The bandpass filter application step S30 is executed in the calculation program 31 and includes removing vibration components in a specific frequency region using a bandpass filter.

[0170] If a bandpass filter is used, only the AC with a predetermined frequency can be allowed to pass, while the AC with other frequencies can be completely attenuated.

[0171] like Figure 7 As shown, the display step S60 is performed by the display unit 13 .

[0172] In the display step S60 , the calculation program 31 displays the vibration level signal of the channel having the maximum value in the first sequential accumulation in the arrival order on the display unit 13 .

[0173] As in Figure 3b The upper diagram of FIG. 1 shows a channel of the vibration level signal of the channel having the maximum value accumulated first in the arrival order among the plurality of channels.

[0174] like Figure 7 As shown, the recognition step S70 is performed by the user.

[0175] The recognition step S70 includes the user observing the screen of the display unit 13 and recognizing the location of the channel having the maximum value of the first cumulative value in the arrival order as the adjacent location of the noise source.

[0176] In the triggering step S40 , the algorithm 31 triggers the corresponding specific time when the acceleration signal level exceeds the preset positive threshold or when the acceleration signal level is lower than the negative threshold.

[0177] Three trigger measurement methods are described below. The present invention can adopt any one of the following trigger measurement methods.

[0178] The signal level of the data related to the vibration degree includes the signal level of acceleration.

[0179] Simple trigger assay

[0180] Figure 4 It is a drawing for explaining a simple trigger identification method used in the analysis of the triggering of the abnormal sound tracking and processing device according to one embodiment of the present invention.

[0181] exist Figure 4 In the graph of FIG. 1 , the X-axis represents time and the Y-axis represents the acceleration signal level.

[0182] The time unit of the X-axis is seconds (sec), and the unit of the acceleration signal level of the Y-axis is m / s 2 .

[0183] The signal level of the data related to the vibration degree includes the signal level of acceleration.

[0184] like Figure 4 As shown, if a vibration event occurs, the signal level of the acceleration increases (rising ramp).

[0185] If the signal level of the acceleration exceeds the threshold, the algorithm 31 determines the corresponding signal level as valid data.

[0186] Figure 4 For example, the threshold is 2.7 m / s 2 situation.

[0187] On the contrary, if the acceleration signal level decreases (downward slope) or is lower than a specific threshold, the algorithm 31 determines that the corresponding acceleration signal level is valid data.

[0188] The acceleration signal level remains above the threshold and data is captured when the signal drops below the threshold.

[0189] At this time, the captured data means that the signal level of acceleration is not valid data.

[0190] Specifically, the signal level of acceleration represents the waveform of an AC signal, and therefore, the threshold value is divided into a positive threshold value and a negative threshold value.

[0191] When the acceleration signal level exceeds the positive threshold value and when the acceleration signal level exceeds the negative threshold value, the calculation program 31 determines that the corresponding acceleration signal level is valid data.

[0192] Specifically, the algorithm 31 determines that a specific time and a specific signal level of a trigger are valid data.

[0193] The valid data can be used in the calculation program 31 to calculate data representing the location of the noise source.

[0194] As described above, the method of measuring data that is simply determined to be valid when a threshold value at a specific threshold point is exceeded is called a simple trigger measurement method. The simple trigger measurement method has an advantage of being widely applicable.

[0195] In addition, the simple trigger measurement method has the problem of deriving incorrect results when the signal is complex, but the use of the selected window measurement method and the cross-correlation measurement method may be restrictive, so the simple trigger measurement method can be used in this case.

[0196] Tracking technology using selection window assay

[0197] Figure 5 The figure is used to explain the measurement method of the selection window measurement method of the trigger analysis method of the multi-channel abnormal noise tracking and processing device according to one embodiment of the present invention.

[0198] like Figure 5 As shown, the selection window determination method is a method using the ratio of the root mean square (RMS) values ​​of different window signals for the second window and the first window.

[0199] RMS is one of the methods for finding an average, and is an effective method when the distribution of a variable has negative and positive values ​​evenly and one wants to know the extent of the magnitude.

[0200] The first window and the second window represent the signal level of acceleration within a specific time interval at a specific time.

[0201] For example, Figure 5 The first window of the right graph shown in represents the interval from 0.001 seconds to 0.007 seconds at a specific time, and the second window represents the interval from 0.007 seconds to 0.011 seconds.

[0202] As time changes, the intervals of the first window and the second window may continue to change.

[0203] The first window and the second window may be distinguished at a specific time point where the peak values ​​of the acceleration signal levels differ by several times or more.

[0204] The selective window determination method involves comparing the signal energy of the acceleration within different windows, such as the second window and the first window, and calculating the time delay.

[0205] The signal energy of acceleration refers to the value (RMS) expressed as the square root of the average of the squares of the acceleration signal levels within a specific window.

[0206] In detail, the signal energy of acceleration refers to a value expressed as a square root obtained by averaging the respective peak square values ​​of the positive and negative signal levels of acceleration within a specific window.

[0207] The ratio of the energy of the acceleration signal in the second window to that in the first window, that is, the ratio of the RMS value is expressed as follows.

[0208] Figure 5 In the right graph, the X-axis represents time and the Y-axis represents the level of the acceleration signal.

[0209]

[0210] Figure 5 In the right graph, the X-axis represents time, and the Y-axis represents the ratio of the energy of the acceleration signal, that is, the ratio of the RMS value.

[0211] The unit of time is seconds (sec), and the unit of the acceleration signal level is m / s 2 The ratio of the RMS value is the value obtained by dividing the energy value of the acceleration signal by the energy value of the acceleration signal, and therefore, there may be no unit.

[0212] like Figure 5 As shown in the graph on the right, if the ratio of the RMS value is expressed, it is easier to identify the point in time when the ratio of the RMS value changes sharply.

[0213] Therefore, the selection window assay can more clearly determine the delay time than the simple trigger assay.

[0214] The window measurement method is selected to determine the point in time when the ratio of the specific RMS value changes sharply. Figure 5 The figure on the right side of FIG. 1 applies a simple trigger determination method.

[0215] If the ratio of the RMS values ​​exceeds a positive threshold, the algorithm 31 may determine the corresponding ratio of the RMS values ​​as valid data.

[0216] Specifically, the calculation program 31 may determine a specific time and a specific signal level as valid data according to the ratio of the triggered RMS value.

[0217] However, unlike the simple trigger measurement method that requires a positive threshold and a negative threshold, in the case of the selective window measurement method, the ratio of the RMS value only has a positive value. Therefore, the characteristic of the selective window measurement method is that only a positive threshold is required.

[0218] Figure 6 It is a drawing for explaining a cross-correlation measurement method of a trigger analysis method of a multi-channel abnormal noise tracking and processing device according to an embodiment of the present invention.

[0219] Determination using cross correlation determination

[0220] Figure 6 In the graph, the X-axis represents time and the Y-axis represents the level of the acceleration signal.

[0221] The unit of time is seconds (sec), and the unit of the acceleration signal level is m / s 2 .

[0222] like Figure 6 As shown, the cross-correlation method is a method of comparing a waveform having a time signal with a signal having a similar waveform of a medium to be compared.

[0223] Specifically, the calculation program 31 may convert the waveform of the acceleration signal of the medium to be compared into data and store it in memory.

[0224] The user can find a channel among multiple channels whose waveform of the acceleration signal is similar to the waveform of the acceleration signal of the medium to be compared that is stored in advance.

[0225] The user determines that the location where a channel having an acceleration signal waveform similar to the acceleration signal waveform of the medium to be compared is located is a noise source adjacent location.

[0226] According to an embodiment of the present invention, the cross-correlation measurement method includes the following features: the vibrating medium, ie the medium to be tracked, and the medium to be compared are the same.

[0227] Therefore, when the present invention is used on a vehicle body, if it is desired to track abnormal noises in a structure having the same medium as the structure of the vehicle body, the cross-correlation measurement method can be utilized.

[0228] like Figure 4 As shown, after the data learning unit 11 learns the data of the vibration degree occurring from different positions of the structure sensed by the vibration sensing unit 10 for each channel, the calculation program 31 calculates the data indicating the position of the noise source using the trigger technology and the cumulative display technology.

[0229] The farther a channel is from the vibration occurrence location, the longer the delay time between the time when the vibration occurs at the vibration occurrence location and the time when the trigger occurs.

[0230] Channels with longer delay times are located at greater distances from where the vibration occurs.

[0231] According to an embodiment of the present invention, the calculation program 31 assigns the arrival order of the corresponding trigger to each trigger when the trigger occurs.

[0232] The calculation program 31 accumulates the number of trigger occurrences and the arrival order for each channel, starting with the first accumulation.

[0233]

Table 1

[0234]

[0235] The calculation program 31 selects the channel with the maximum cumulative value in the first order of arrival based on the accumulated calculated data as shown in Table 1. After the specific channel is selected, the vibration level signal of the channel with the maximum cumulative value in the first order of arrival is displayed on the display unit 13.

[0236] For example, in Table 1, channel No. 3 which is measured to be the first in the arrival order and has the highest cumulative value may be selected.

[0237] When the calculation program 31 selects channel 3, data related to the vibration level of channel 3 is displayed on the display unit 13.

[0238] At this time, the user can recognize that noise has occurred at the location closest to the location where the vibration sensing unit of channel 3 is located.

[0239] According to the configuration of the present invention as described above, when the user sees the vibration level signal of the channel with the maximum cumulative value in the first arrival order displayed on the display unit 13, the user can identify the location of the channel with the maximum cumulative value in the first arrival order as the adjacent location where the noise source occurs.

[0240] Figure 8 FIG. 1 is a diagram showing a screen structure of a post-processing analysis for abnormal sound tracking according to an embodiment of the present invention. Figure 8 As shown in the No. 1 box of , a screen composition user interface for post-processing analysis of abnormal sound tracking is provided. Through the screen composition user interface for post-processing analysis of abnormal sound tracking, the user selects the level calculation and level cycle, then selects the analysis method, and confirms the level of each channel of the vibration sensing unit 10. Therefore, the user can confirm the analysis interval of the current abnormal sound tracking through the screen composition for post-processing analysis of abnormal sound tracking according to an embodiment of the present invention.

[0241] like Figure 8As shown in the No. 2 box of the figure, the user interface is composed of a screen for post-processing analysis of abnormal sound tracking, and the user can confirm the measurement data graph of abnormal sound tracking or the data of the selected analysis file in real time, and can also confirm after expanding or reducing the analysis interval. Thus, the user can confirm in each section of the current analysis interval.

[0242] like Figure 8 As shown in box 3 of , the user interface is composed of a screen for post-processing analysis of abnormal noise tracking, and the user can confirm the vehicle data or the data of the selected analysis file in real time, and can confirm the RPM (revolutions per minute) of the car engine and the speed of the car through the vehicle data chart.

[0243] like Figure 8 As shown in box 4 of FIG. 1 , the user interface is composed of a screen for post-processing analysis of abnormal sound tracking, and the user can select an analysis file and confirm or re-set the currently applied filter through the filter setting function.

[0244] like Figure 8 As shown in the block 5 of FIG. 5 , a user interface is formed by a screen for post-processing analysis of abnormal sound tracking, and the user can reproduce or transfer the signal and store the chart image.

[0245] The present invention has been described with reference to the preferred embodiments. However, the scope of the present invention is not limited to the above embodiments, but is defined by the claims and includes various modifications within the scope of equivalence of the present invention.

[0246] The reference numerals are only used to help understand the invention and do not affect the interpretation of the scope of rights. The claims should not be narrowly interpreted due to the recorded reference numerals.

Claims

1. A method for tracking and processing abnormal noise using multiple vibration sensing units, characterized in that: include: Vibration sensing step, sensing the vibration of the structure; a data learning step, receiving the sensed vibration as a signal related to the vibration level, and learning data related to the vibration level; A triggering step, when the signal level of the learned data related to the vibration level exceeds a specific threshold; and The arrival order and maximum amplitude calculation step calculates the arrival order by taking the trigger time point as the arrival time, and calculates the maximum amplitude of the signal level of the data related to the vibration degree.

2. A method for sensing vibration of a structure, receiving the sensed vibration as a signal related to the vibration degree, and tracking and processing abnormal noise based on data indicating the location of a noise source generated after learning the data related to the vibration degree, characterized in that: include: A triggering step, when the signal level of the learned data related to the vibration level exceeds a specific threshold; and The arrival order and maximum amplitude calculation step calculates the arrival order by taking the trigger time point as the arrival time, and calculates the maximum amplitude of the signal level of the data related to the vibration degree.

3. The method of sensing the vibration of a structure according to claim 2, receiving the sensed vibration as a vibration degree correlation signal, tracking and processing abnormal noise based on data indicating the location of the noise source generated after learning the vibration degree correlation data, characterized in that: The vibration level signal is output in the form of a vibration level signal. The vibration level signal represents the acceleration of the vibration.

4. A method for sensing the vibration of a structure according to claim 2 or 3, receiving the sensed vibration as a signal related to the vibration degree, and tracking and processing abnormal noise based on data indicating the location of the noise source generated after learning the data related to the vibration degree, characterized in that: Also includes: In the recognition step, the user recognizes the adjacent locations of the noise sources through the arrival sequence.

5. A method for sensing vibration of a structure, receiving the sensed vibration as a signal related to the vibration degree, and tracking and processing abnormal noise based on data indicating the location of a noise source generated after learning the data related to the vibration degree, characterized in that: include: The triggering step is triggered when the signal level of the learned data related to the vibration level exceeds a specific threshold.

6. The method of sensing the vibration of a structure according to claim 5, receiving the sensed vibration as a signal related to the vibration degree, and tracking and processing abnormal noise based on data indicating the location of the noise source generated after learning the data related to the vibration degree, characterized in that: The vibration level signal is output in the form of a vibration level signal. The vibration level signal represents the acceleration of the vibration.

7. A method for sensing the vibration of a structure according to claim 5 or 6, and receiving the sensed vibration as a signal related to the vibration degree, and tracking and processing abnormal noise based on data indicating the location of the noise source generated after learning the related data of the vibration degree, characterized in that: include: an arrival order and maximum amplitude calculation step, wherein the arrival order is calculated by taking the trigger time point as the arrival time, and the maximum amplitude of the signal level of the vibration degree related data is calculated, Also includes: In the recognition step, the user recognizes the adjacent locations where the noise source occurs through the arrival sequence.

8. An abnormal sound tracking and processing device using multiple vibration sensing units, characterized in that: include: A plurality of vibration sensing parts, which sense vibrations of the structure; a data learning unit that receives the vibration level-related signals output from the plurality of vibration sensing units and learns vibration level-related data; a data calculation unit that receives the vibration level-related data output from the data learning unit and calculates data indicating the position of a noise source; and A display unit displays data indicating the position of the noise source.

9. The abnormal sound tracking and processing device using multiple vibration sensing units according to claim 8, characterized in that: The vibration level signal is output in the form of a vibration level signal. The vibration level signal represents the acceleration of the vibration.

10. The abnormal sound tracking and processing device using multiple vibration sensing units according to claim 8 or 9, characterized in that: The data calculation unit triggers the signal level in the vibration level signal to exceed the positive threshold and the negative threshold, The specific time of triggering and the specific signal level are determined as valid data.

11. The abnormal sound tracking and processing device using multiple vibration sensing units according to claim 8 or 9, characterized in that: The data calculation unit is configured as a first window and a second window for a specific time interval in the vibration level signal, The ratio of the RMS values ​​of the first window to the second window triggers a signal level exceeding the positive threshold. The specific time of triggering and the specific signal level are determined as valid data.

12. The abnormal sound tracking and processing device using multiple vibration sensing units according to claim 8 or 9, characterized in that: The data calculation unit converts the waveform of the signal level of the medium to be compared into data and stores it in memory. A location where one of the plurality of channels showing a waveform of a signal level similar to the waveform of the signal level of the medium to be compared is located is determined as a noise source adjacent location.

13. An abnormal sound tracking and processing device using multiple vibration sensing units, characterized in that: include: a data learning unit that receives signals related to vibration levels output from a plurality of vibration sensing units that sense vibrations of a structure, and learns data related to the vibration levels; a data calculation unit that receives the vibration level-related data output from the data learning unit and calculates data indicating the position of a noise source; and A display unit displays data indicating the position of the noise source.

14. The abnormal noise tracking and processing device using multiple vibration sensing units according to claim 13, characterized in that: The vibration level signal is output in the form of a vibration level signal. The vibration level signal represents the acceleration of the vibration.

15. The abnormal noise tracking and processing device using multiple vibration sensing units according to claim 13 or 14, characterized in that: The data calculation unit triggers the signal level in the vibration level signal to exceed the positive threshold and the negative threshold, The specific time of triggering and the specific signal level are determined as valid data.

16. The abnormal sound tracking and processing device using multiple vibration sensing units according to claim 13 or 14, characterized in that: The data calculation unit is configured as a first window and a second window for a specific time interval in the vibration level signal, The ratio of the RMS values ​​of the first window to the second window triggers a signal level exceeding the positive threshold. The specific time of triggering and the specific signal level are determined as valid data.

17. An abnormal sound tracking and processing device using multiple vibration sensing units, characterized in that: include: The data learning unit receives the vibration degree correlation signals output from the plurality of vibration sensing units that sense the vibration of the structure, and learns the vibration degree correlation data.

18. The abnormal noise tracking and processing device using multiple vibration sensing units according to claim 17, characterized in that: The vibration level signal is output in the form of a vibration level signal. The vibration level signal represents the acceleration of the vibration.

19. The abnormal sound tracking and processing device using multiple vibration sensing units according to claim 17 or 18, characterized in that: include: a data calculation unit that receives the vibration level related data output from the data learning unit and calculates data indicating the position of the noise source, Furthermore, the data calculation unit triggers the signal level of the vibration level signal exceeding the positive threshold and the negative threshold, The specific time of triggering and the specific signal level are determined as valid data.

20. The abnormal sound tracking and processing device using multiple vibration sensing units according to claim 17 or 18, characterized in that: include: a data calculation unit that receives the vibration level related data output from the data learning unit and calculates data indicating the position of the noise source, Furthermore, the data calculation unit is configured as a first window and a second window for a specific time interval in the vibration level signal. The ratio of the RMS values ​​of the first window to the second window triggers a signal level exceeding the positive threshold. The specific time of triggering and the specific signal level are determined as valid data.

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