Device and method for testing natural vibration characteristics of bogie system of motor train unit under pulse excitation

Abstract

The embodiment of the invention provides equipment and a method for testing natural vibration characteristics of a bogie system of a motor train unit under pulse excitation. The equipment comprises signal acquisition equipment and signal processing equipment, the signal acquisition equipment comprises an acceleration sensor, an elastic force hammer, an anti-aliasing filter and a signal transmission module; the signal processing equipment comprises a test configuration module, a signal confirmation module, a frequency response calculation module and a natural vibration characteristic parameter identification module; according to the invention, a simple and rapid test analysis system for the natural vibration characteristics of the bogie system of the motor train unit can be realized, and a basis is provided for dynamic performance design and evaluation of the motor train unit.

Description

Technical Field

[0001] The present application relates to the field of EMU vibration testing, and in particular to a device and method for testing the self-vibration characteristics of an EMU bogie system under pulse excitation. Background Art

[0002] The self-vibration characteristics of the EMU bogie system are an important reference in the dynamic load design process and determine the dynamic performance of the overall structure after service.

[0003] On the one hand, according to the existing EMU self-vibration characteristic test standards, in order to avoid resonance between the EMU car body and the bogie system, the car body self-vibration frequency and the bogie system's floating, sinking and nodding frequencies should be fully isolated to ensure the riding comfort of the EMU;

[0004] On the other hand, for the bogie system itself, especially the EMU bogie system in the middle and late stages of service, frame vibration fatigue problems may occur under periodic high-frequency excitations of the wheel and rail such as wheel polygons and corrugation. The EMUs currently in service have experienced the axle box cover falling off and structural cracks in the bogie system caused by this. The structural weak points determined through the self-vibration characteristic test and analysis are consistent with the loosening, cracking or damage locations that occurred during the service process or fatigue tests. This shows that the self-vibration characteristic test and analysis of the bogie system can accurately locate the structural weak links and reveal the causes of wheel-rail coupling vibration fatigue.

[0005] Therefore, it is of great significance to ensure the operational reliability of the bogie system by testing the self-vibration characteristics of the bogie system and designing the wheel-rail high-frequency excitation frequency matching, and then improving the weak links of the structure.

[0006] However, the system hardware of the existing EMU bogie system self-vibration characteristic test method is relatively scattered, and the excitation method and test scheme selected during the test process are not unified, which affects the test efficiency and the final analysis results, and the cost of some test schemes such as vibration table and line test random excitation is relatively high; in addition, the self-vibration characteristic parameter identification algorithm presents diverse characteristics, and different identification algorithms lead to differences in the final identification results, which requires high engineering experience of the test personnel. It is necessary to unify and determine the stable identification algorithm for the self-vibration characteristic parameter identification of the bogie system, and the conventional test analysis function is not only for the field of rail vehicle self-vibration characteristic testing. There are often a lot of redundant designs in the analysis process, and the human-computer interaction link is not clear, which affects the final analysis results and cannot meet the simple and fast analysis requirements of the EMU bogie system self-vibration characteristic on-site test. Summary of the invention

[0007] In response to the problems in the prior art, the present application provides a device and method for testing the self-vibration characteristics of the EMU bogie system under pulse excitation, which can realize a simple and rapid test and analysis system for the self-vibration characteristics of the EMU bogie system, and provide a basis for the dynamic performance design and evaluation of the EMU.

[0008] In order to solve at least one of the above problems, the present application provides the following technical solutions:

[0009] According to a first aspect of an embodiment of the present application, the present application provides a device for testing the self-vibration characteristics of a bogie system of an EMU under pulse excitation, including a signal acquisition device and a signal processing device;

[0010] The signal acquisition device includes an acceleration sensor, an elastic hammer, an anti-aliasing filter and a signal transmission module;

[0011] The acceleration sensor is used to collect acceleration signals of the bogie system under pulse excitation;

[0012] The elastic hammer is used to apply a pulse excitation signal to the EMU bogie system;

[0013] The anti-aliasing filter is used to filter out high-frequency components of the collected input pulse excitation signal and acceleration signal to avoid aliasing;

[0014] The signal transmission module is used to store the digitized pulse excitation signal and acceleration signal and send them to the signal processing device;

[0015] The signal processing device includes a test configuration module, a signal confirmation module, a frequency response calculation module and a self-oscillation characteristic parameter identification module;

[0016] The test configuration module is used to construct test template configuration information and send the configuration information to the signal acquisition device;

[0017] The signal confirmation module is used to confirm whether the received pulse excitation signal and acceleration signal meet the preset requirements;

[0018] The frequency response calculation module is used to calculate the frequency response function and the coherence function according to the input and output signals that have been verified and confirmed, so as to form a frequency response function matrix for identifying the system's self-oscillation characteristic parameters;

[0019] The self-oscillation characteristic parameter identification module is used to obtain the self-oscillation characteristic parameters of the bogie system according to the frequency response function matrix using a stability mode identification algorithm.

[0020] According to any implementation of the present application, the test configuration module includes:

[0021] A scheme building unit is used to determine the excitation position and hammering sequence of the elastic force hammer and the arrangement position of the acceleration sensor according to the on-site conditions of the bogie system self-vibration characteristic test;

[0022] The scheme interaction unit is used to send the constructed test template configuration information to the signal acquisition device.

[0023] According to any embodiment of the present application;

[0024] The excitation positions of the elastic force hammer include the ends and middle parts of the side beams of the bogie system and the middle parts of the cross beams where the deformation is the largest and can be contacted;

[0025] The acceleration sensor is arranged at positions including the side beam ends, the middle, the transition, the middle beam, the motor and the brake disc connection position of the bogie system.

[0026] According to any implementation of the present application, the frequency response calculation module includes:

[0027] The function determination unit is used to obtain a corresponding frequency response function according to the auto-power spectrum matrix of the input signal and the cross-power spectrum matrix of the input and output signals;

[0028] The matrix determination unit is used to determine the frequency response function matrix through matrix operation based on the multiple frequency response functions.

[0029] According to any implementation of the present application, the self-oscillation characteristic parameter identification module includes:

[0030] A modal identification unit is used to: construct a system modal model based on the frequency response function matrix and use a stability modal identification algorithm to extract modal parameters related to the natural vibration characteristics of the bogie system;

[0031] The parameter determination unit is used to: identify key natural vibration characteristic parameters of the bogie system by applying the least square estimation method based on the extracted modal parameters.

[0032] According to a second aspect of an embodiment of the present application, the present application provides a method for testing the self-vibration characteristics of a motor vehicle bogie system under pulse excitation, which is applied to a signal processing device, comprising:

[0033] Constructing test template configuration information, and sending the configuration information to the signal acquisition device;

[0034] Confirm whether the received pulse excitation signal and acceleration signal meet the preset requirements;

[0035] Based on the input and output signals that have been verified and confirmed, the frequency response function and the coherence function are calculated to form a frequency response function matrix for identifying the system's self-oscillation characteristic parameters;

[0036] According to the frequency response function matrix, a stability mode identification algorithm is used to obtain the natural vibration characteristic parameters of the bogie system.

[0037] According to any implementation manner of the present application, constructing test template configuration information and sending the configuration information to the signal acquisition device includes:

[0038] According to the on-site situation of the bogie system self-vibration characteristic test, determine the excitation position of the elastic force hammer, the hammering order, and the layout position of the acceleration sensor;

[0039] The constructed test template configuration information is sent to the signal acquisition device.

[0040] According to any embodiment of the present application;

[0041] The excitation positions of the elastic force hammer include the ends and middle parts of the side beams of the bogie system and the middle parts of the cross beams where the deformation is the largest and can be contacted;

[0042] The acceleration sensor is arranged at positions including the side beam ends, the middle, the transition, the middle beam, the motor and the brake disc connection position of the bogie system.

[0043] According to any embodiment of the present application, the frequency response function and the coherence function are calculated based on the input and output signals that have been verified and confirmed to form a frequency response function matrix for identifying the system's self-oscillation characteristic parameters, including:

[0044] According to the auto-power spectrum matrix of the input signal and the cross-power spectrum matrix of the input and output signals, the corresponding frequency response function is obtained;

[0045] Based on the multiple frequency response functions, the frequency response function matrix is ​​determined through matrix operation.

[0046] According to any implementation of the present application, the method of obtaining the bogie system self-vibration characteristic parameters by using a stability modal identification algorithm according to the frequency response function matrix includes:

[0047] According to the frequency response function matrix, a system modal model is constructed using a stability modal identification algorithm to extract modal parameters related to the natural vibration characteristics of the bogie system;

[0048] Based on the extracted modal parameters, the least squares estimation method is applied to identify the key natural vibration characteristic parameters of the bogie system.

[0049] According to the third aspect of the embodiment of the present application, the present application provides an electronic device, including a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein when the processor executes the program, the steps of the method for testing the self-vibration characteristics of the EMU bogie system under pulse excitation are implemented.

[0050] According to the fourth aspect of the embodiment of the present application, the present application provides a computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, implements the steps of the method for testing the self-vibration characteristics of the EMU bogie system under pulse excitation.

[0051] According to the fifth aspect of the embodiment of the present application, the present application provides a computer program product, including a computer program / instruction, which, when executed by a processor, implements the steps of the method for testing the self-vibration characteristics of the EMU bogie system under pulse excitation.

[0052] It can be seen from the above technical scheme that the present application provides a device and method for testing the self-vibration characteristics of the EMU bogie system under pulse excitation, the device including a signal acquisition device and a signal processing device; the signal acquisition device includes an acceleration sensor, an elastic hammer, an anti-aliasing filter and a signal transmission module; the signal processing device includes a test configuration module, a signal confirmation module, a frequency response calculation module and a self-vibration characteristic parameter identification module; the present application can realize a concise and rapid test and analysis system for the self-vibration characteristics of the EMU bogie system, providing a basis for the design and evaluation of the dynamic performance of the EMU. BRIEF DESCRIPTION OF THE DRAWINGS

[0053] In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are some embodiments of the present application. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative work.

[0054] Figure 1 It is a schematic diagram of a test framework for the self-vibration characteristics of the EMU bogie system under pulse excitation in an embodiment of the present application;

[0055] Figure 2 This is one of the schematic diagrams of the structure of the signal processing device in the embodiment of the present application;

[0056] Figure 3 This is a schematic diagram of the implementation of the experimental scheme in the embodiments of the present application;

[0057] Figure 4 This is the second structural diagram of the signal processing device in the embodiment of the present application;

[0058] Figure 5 This is the third structural diagram of the signal processing device in the embodiment of the present application;

[0059] Figure 6 A schematic diagram of a software processing system in an embodiment of the present application;

[0060] Figure 7This is a schematic diagram of the experimental scheme flow in the embodiments of the present application;

[0061] Figure 8 This is one of the flow charts of the method for testing the self-vibration characteristics of the EMU bogie system under pulse excitation in the embodiment of the present application;

[0062] Fig. 9 This is a second flow chart of a method for testing the self-vibration characteristics of a motor vehicle bogie system under pulse excitation in an embodiment of the present application;

[0063] Fig.10 The third flow chart of the method for testing the self-vibration characteristics of the EMU bogie system under pulse excitation in the embodiment of the present application;

[0064] Fig.11 This is a fourth flow chart of a method for testing the self-vibration characteristics of a motor vehicle bogie system under pulse excitation in an embodiment of the present application;

[0065] Fig.12 It is a schematic diagram of the structure of an electronic device in an embodiment of the present application. DETAILED DESCRIPTION

[0066] In order to make the purpose, technical solution and advantages of the embodiments of the present application clearer, the technical solution in the embodiments of the present application will be clearly and completely described below in conjunction with the drawings in the embodiments of the present application. Obviously, the described embodiments are part of the embodiments of the present application, not all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of this application.

[0067] The acquisition, storage, use, and processing of data in the technical solution of this application comply with the relevant provisions of national laws and regulations.

[0068] The present application provides a device and method for testing the self-vibration characteristics of the EMU bogie system under pulse excitation. By establishing a convenient and efficient excitation method and test scheme for the self-vibration characteristics of the EMU bogie system, a concise and rapid test and analysis system for the self-vibration characteristics of the EMU bogie system can be realized, providing a basis for the design and evaluation of the dynamic performance of the EMU.

[0069] In order to realize a concise and rapid test and analysis system for the self-vibration characteristics of the EMU bogie system and provide a basis for the dynamic performance design and evaluation of the EMU, the present application provides an embodiment of a test device for the self-vibration characteristics of the EMU bogie system under pulse excitation, see Figure 1 , including a signal acquisition device 1 and a signal processing device 2;

[0070] The signal acquisition device 1 includes an acceleration sensor 11 , an elastic hammer 12 , an anti-aliasing filter 13 , and a signal transmission module 15 .

[0071] The acceleration sensor 11 is used to collect the acceleration signal of the bogie system under pulse excitation;

[0072] The elastic hammer 12 is used to apply a pulse excitation signal to the EMU bogie system;

[0073] The anti-aliasing filter 13 is used to filter out high-frequency components of the collected input pulse excitation signal and acceleration signal to avoid aliasing;

[0074] The signal transmission module 15 is used to store the digitized pulse excitation signal and acceleration signal and send them to the signal processing device;

[0075] Preferably, Figure 1 As shown, it also includes an A / D conversion module 14 and a power supply module 16.

[0076] The A / D conversion module 14 is used to convert the collected analog pulse excitation signal and acceleration signal into a digital signal;

[0077] The power supply module 16 is used to provide power support for the signal acquisition terminal hardware.

[0078] Exemplarily, the signal acquisition device can also be understood as signal acquisition terminal hardware, which is an important component of the self-vibration characteristic test of the EMU bogie system, including an acceleration sensor, an elastic force hammer, an anti-aliasing filter, an A / D conversion module, a signal transmission module, and a power supply module. It can also include a shell, which is made of high-strength material, which can not only protect the internal electronic components from the external environment such as dust, moisture and mechanical shock, but also has a structural support function. The acceleration sensor is used to collect the acceleration response signal of the bogie under pulse excitation in real time, and a high-sensitivity model is selected with a variety of frequency ranges to capture key dynamic characteristics. The elastic force hammer is responsible for applying precise pulse excitation signals, and its built-in force sensor can record the magnitude and action time of the excitation force, while supporting adjustments in different intensity ranges to meet a variety of test requirements.

[0079] The anti-aliasing filter of the acquisition terminal plays a key role in the signal acquisition process. It can effectively filter out high-frequency noise, prevent signal aliasing, and ensure the purity of the input signal. Subsequently, the collected analog signal is converted into a digital signal for subsequent processing through the A / D conversion module. Preferably, the module uses a high-precision 24-bit ADC chip and supports multi-channel simultaneous processing to ensure the accuracy and real-time performance of the data. The signal transmission module further pre-processes the digitized signal, including denoising, windowing, and format conversion. The Hanning window processing algorithm can smooth the signal waveform and improve the calculation accuracy of the frequency response function. The power supply module provides a stable power supply for the acquisition terminal, supports AC and DC dual-mode power supply, and the built-in lithium battery ensures that the device can operate continuously in portable scenarios.

[0080] The signal processing device 2 includes a test configuration module 21, a signal confirmation module 22, a frequency response calculation module 23 and a self-oscillation characteristic parameter identification module 24;

[0081] The test configuration module 21 is used to construct test template configuration information and send the configuration information to the signal acquisition device;

[0082] The signal confirmation module 22 is used to confirm whether the received pulse excitation signal and acceleration signal meet the preset requirements;

[0083] The frequency response calculation module 23 is used to calculate the frequency response function and the coherence function according to the input and output signals that have been verified and confirmed, so as to form a frequency response function matrix for identifying the system's self-oscillation characteristic parameters;

[0084] The self-oscillation characteristic parameter identification module 24 is used to obtain the self-oscillation characteristic parameters of the bogie system according to the frequency response function matrix by using a stability mode identification algorithm.

[0085] For example, the signal processing software system that works with the hardware is also the core part of the test system, which is divided into a test configuration module, a signal confirmation module, a frequency response calculation module, and a self-vibration characteristic parameter identification module. The test configuration module provides users with test configuration functions through a graphical interface according to the on-site conditions, including specific information on the layout position, direction, and tapping order of the acceleration sensor to form an efficient test template. The signal confirmation module is used to verify the quality of the collected signal in real time, check whether the input force signal and the output acceleration signal are within the preset range, such as verifying whether the signal amplitude is within the normal range, and remind the user to adjust the equipment settings when an abnormality is found.

[0086] The frequency response calculation module uses mathematical models to calculate the frequency response function and coherence function based on the verified input and output signals, and generates a frequency response function matrix for subsequent analysis. For multi-input and multi-output systems, this module uses matrix form to calculate the complete frequency response function matrix to ensure the comprehensiveness and accuracy of the calculation. Finally, the self-vibration characteristic parameter identification module uses the Z-domain least squares estimation method based on the frequency response function matrix to identify the modal parameters of the bogie system, including key parameters such as modal frequency and damping ratio, thereby providing reliable data support for the dynamic performance analysis and optimization design of the bogie system.

[0087] In an optional embodiment, if Figure 2 As shown, the test configuration module 21 includes:

[0088] The scheme construction unit 21A is used to determine the excitation position and hammering sequence of the elastic force hammer and the arrangement position of the acceleration sensor according to the on-site situation of the bogie system self-vibration characteristic test;

[0089] The scheme interaction unit 21B is used to send the constructed test template configuration information to the signal acquisition device.

[0090] Preferably, the excitation positions of the elastic force hammer include the ends and middle parts of the side beams of the bogie system and the middle parts of the cross beams with the largest deformation and contactable parts;

[0091] The acceleration sensor is arranged at positions including the side beam ends, the middle, the transition, the middle beam, the motor and the brake disc connection position of the bogie system.

[0092] Exemplarily, the specific experimental scheme is implemented as follows Figure 3 As shown, the test configuration module is based on the on-site conditions of the bogie system self-vibration characteristic test and is based on the principles of high efficiency and convenience in test implementation. An elastic hammer is used for pulse excitation and a multi-input multi-output system test mode. A total of 16 acceleration sensors are arranged at equal intervals on the side beam ends, middle, transition points and intermediate beams of the bogie system in the y and z directions. Acceleration sensors can be symmetrically arranged at the connection between the motor and the brake disc as appropriate, and tapping is performed on the side beam ends, middle parts and middle parts of the cross beams that have the largest deformation and are contactable.

[0093] In an optional embodiment, if Figure 4 As shown, the frequency response calculation module 23 includes:

[0094] The function determination unit 23A is used to obtain a corresponding frequency response function according to the auto-power spectrum matrix of the input signal and the cross-power spectrum matrix of the input and output signals;

[0095] The matrix determination unit 23B is used to determine the frequency response function matrix through matrix operation based on the multiple frequency response functions.

[0096] Exemplarily, the frequency response calculation module algorithm is as follows:

[0097] Since the elastic hammer pulse excitation signal is known and measurable and the signal noise is controllable, H 1 The frequency response function is estimated and calculated as follows:

[0098]

[0099] Among them: X(jω), Y(jω) are the input and output spectra, G xy (jω) is the cross power spectrum of input and output, G xx (jω) Input autopower spectrum.

[0100] Coherence function γ xy (jω) is:

[0101]

[0102] For a Ni input and No output system, the frequency response function can be calculated using a matrix;

[0103]

[0104] Calculate the power spectrum of the input G xx The cross power spectrum matrix G of the input and output xy , get the system frequency response function matrix H;

[0105] H=G xx -1 G xy (4)

[0106] in:

[0107]

[0108] In an optional embodiment, if Figure 5 As shown, the self-oscillation characteristic parameter identification module 24 includes:

[0109] The modal identification unit 24A is used to: construct a system modal model according to the frequency response function matrix and use a stability modal identification algorithm to extract modal parameters related to the natural vibration characteristics of the bogie system;

[0110] The parameter determination unit 24B is used to: identify key natural vibration characteristic parameters of the bogie system by applying a least square estimation method based on the extracted modal parameters.

[0111] Among them, the frequency response function matrix is ​​used as input data to reflect the dynamic response characteristics of the bogie system under different excitation conditions. The modal identification unit extracts the modal parameters of the system from the frequency response function matrix through the stability modal identification algorithm, including modal frequency, damping ratio and modal shape, describes the vibration characteristics of the bogie system, identifies the most stable and significant modal characteristics in the system, and efficiently builds a reliable modal model, which provides a basis for the subsequent accurate identification of parameters.

[0112] The parameter determination unit is a key unit for further analysis and processing of the output results of the modal identification unit. The least squares estimation method in the Z domain is used to further accurately identify the key self-vibration characteristic parameters of the bogie system, such as the natural frequency and damping ratio of the system. These parameters are not only important indicators for characterizing the vibration characteristics of the bogie, but also the basis for optimizing the dynamic performance design and fault diagnosis of the bogie in engineering.

[0113] From the above description, it can be seen that the embodiment of the present application can accurately excite and extract the key self-vibration characteristic parameters of the bogie system through a multi-input and multi-output testing method under elastic force hammer pulse excitation, combined with a scientific and reasonable measurement point arrangement and an efficient test plan; a stable and unified self-vibration characteristic parameter identification algorithm is adopted to achieve high-precision parameter analysis, ensuring the accuracy and consistency of the test results; at the same time, the developed autonomous hardware and analysis system significantly reduces the software and hardware costs compared to commercial platforms, and simplifies the analysis function design, making the test process more targeted and easy to operate.

[0114] In order to further illustrate the present solution, the present application also provides a specific application example of the self-vibration characteristic test device of the EMU bogie system under the above-mentioned pulse excitation, which specifically includes the following contents:

[0115] The test method for the self-vibration characteristics of the EMU bogie system under pulse excitation is as follows: first, according to the test site conditions, a total of 16 acceleration sensors are arranged at equal intervals at the end, middle, transition and intermediate beams of the side beams of the bogie system, including the y and z directions. The acceleration sensors can be symmetrically arranged at the connection between the motor and the brake disc as needed, and an elastic force hammer is connected. The elastic force hammer input force signal and the acceleration sensor output signal are connected to the acquisition terminal hardware through a signal shielded cable.

[0116] Open the signal processing software system on the PC terminal. The software interface is as follows Figure 6 As shown, configure the hardware equipment and test plan here. Set the initial acquisition parameters, including basic hardware communication settings such as (power supply mode, channel selection), sensor sensitivity settings, acquisition physical quantity and unit, acquisition bandwidth, number of spectrum lines, trigger acquisition settings, hammering process, data saving path and other settings.

[0117] According to the test plan, an elastic hammer is used for pulse excitation, and the ends, middle and middle parts of the side beams with the largest deformation and accessible parts are struck until all reference points are struck. During the striking process, the signal acquisition terminal hardware realizes the acquisition of input and output signals, and undergoes anti-aliasing filtering, sampling and A / D conversion, and, if necessary, window function refinement. Data acquisition is carried out in the background, and the basic process is as follows: Figure 7 As shown: First, the user selects the test terminal and establishes a data acquisition session, and adds analog channels and listeners to configure the parameters and monitoring mechanism of signal acquisition. Next, the background acquisition mode is turned on to collect data of pulse excitation force signals and acceleration response signals in real time. After completing a hammer operation, the background module processes the collected data, and you can choose to stop the acquisition session to terminate the acquisition operation. During the entire process, the system waits for the hammer operation to be completed, deletes the configured listener and ends the operation, thereby realizing the management and control of the entire test process. The process has clear logic and clear functional division of labor, which helps to ensure the accurate collection and efficient processing of test data.

[0118] After the background mode command is executed, the program continuously collects data. When the length of the collected data exceeds the set value, a prompt will be issued, and then the data will be intercepted through the pre-set monitoring program.

[0119] Confirm whether the input force signal and output acceleration signal meet the requirements, and verify whether the overall test progress matches the test plan.

[0120] Furthermore, the collected data is preliminarily processed and managed: the frequency response function and coherence function are calculated according to formula (1) and formula (2) respectively, and the force hammer excitation, acceleration response, frequency response function and coherence function are saved for each knock. In order to reduce the influence of random noise, the collected frequency domain test data are superimposed and averaged multiple times to improve the signal-to-noise ratio. After completing the knocking of all reference points, the system frequency response function matrix is ​​calculated according to formula (3) and formula (4).

[0121]

[0122] Among them: X(jω), Y(jω) are the input and output spectra, G xy (jω) is the cross power spectrum of input and output, G xx (jω) Input autopower spectrum.

[0123] Coherence function γ xy (jω) is:

[0124]

[0125] For a Ni input and No output system, the frequency response function can be calculated using a matrix;

[0126]

[0127] Calculate the power spectrum of the input G xx The cross power spectrum matrix G of the input and output xy , get the system frequency response function matrix H;

[0128] H=G xx -1 G xy (4)

[0129] in:

[0130]

[0131] Finally, according to the sorted system frequency response function matrix and coherence function, the least squares estimation method in Z domain is used to identify the natural vibration characteristic parameters of the bogie system.

[0132] In order to realize a concise and rapid test and analysis system for the self-vibration characteristics of the EMU bogie system and provide a basis for the dynamic performance design and evaluation of the EMU, the present application provides an embodiment of a method for testing the self-vibration characteristics of the EMU bogie system under pulse excitation, see Figure 8 The method for testing the self-vibration characteristics of the EMU bogie system under pulse excitation is applied to signal processing equipment, and specifically includes the following contents:

[0133] Step S101: construct test template configuration information, and send the configuration information to the signal acquisition device;

[0134] Step S102: confirm whether the received pulse excitation signal and acceleration signal meet the preset requirements;

[0135] Step S103: Calculating the frequency response function and the coherence function according to the input and output signals that have been verified and confirmed, and forming a frequency response function matrix for identifying the system's self-oscillation characteristic parameters;

[0136] Step S104: according to the frequency response function matrix, a stability modal identification algorithm is used to obtain the natural vibration characteristic parameters of the bogie system.

[0137] In an alternative embodiment, see Fig. 9 , the step of constructing test template configuration information and sending the configuration information to the signal acquisition device includes:

[0138] Step S101A: determining the excitation position of the elastic force hammer, the hammering order, and the arrangement position of the acceleration sensor according to the on-site situation of the bogie system self-vibration characteristic test;

[0139] Step S101B: Send the constructed test template configuration information to the signal acquisition device.

[0140] In an optional embodiment, the excitation position of the elastic force hammer includes the maximum deformed and contactable position at the end and middle of the side beam of the bogie system and the middle of the cross beam;

[0141] The acceleration sensor is arranged at positions including the side beam ends, the middle, the transition, the middle beam, the motor and the brake disc connection position of the bogie system.

[0142] In an alternative embodiment, see Fig.10 , the frequency response function and the coherence function are calculated based on the input and output signals that have been verified and confirmed, and a frequency response function matrix for identifying the system's self-oscillation characteristic parameters is formed, including:

[0143] Step S103A: Obtaining a corresponding frequency response function according to the auto-power spectrum matrix of the input signal and the cross-power spectrum matrix of the input and output signals;

[0144] Step S103B: Based on the multiple frequency response functions, determine the frequency response function matrix through matrix operation.

[0145] In an alternative embodiment, see Fig.11 , the method of obtaining the bogie system self-vibration characteristic parameters by using a stability modal identification algorithm according to the frequency response function matrix includes:

[0146] Step S104A: constructing a system modal model according to the frequency response function matrix using a stability modal identification algorithm, and extracting modal parameters related to the natural vibration characteristics of the bogie system;

[0147] Step S104B: Based on the extracted modal parameters, a least squares estimation method is applied to identify key natural vibration characteristic parameters of the bogie system.

[0148] From the above description, it can be seen that the method for testing the self-vibration characteristics of the EMU bogie system under pulse excitation provided in the embodiment of the present application can establish a convenient and efficient excitation method and test scheme for the self-vibration characteristics of the EMU bogie system, and can realize a simple and rapid test and analysis system for the self-vibration characteristics of the EMU bogie system, thereby providing a basis for the design and evaluation of the dynamic performance of the EMU.

[0149] From the hardware level, in order to realize a concise and rapid test and analysis system for the self-vibration characteristics of the EMU bogie system and provide a basis for the dynamic performance design and evaluation of the EMU, the present application provides an embodiment of an electronic device for realizing all or part of the contents of the EMU bogie system self-vibration characteristics test method under pulse excitation, and the electronic device specifically includes the following contents:

[0150] Processor, memory, communication interface and bus; wherein the processor, memory and communication interface communicate with each other through the bus; the communication interface is used to realize information transmission between the signal processing device and the core business system, user terminal and related database and other related devices; the logic controller can be a desktop computer, a tablet computer and a mobile terminal, etc., but the present embodiment is not limited thereto. In the present embodiment, the logic controller can be implemented with reference to the embodiment of the method for testing the self-vibration characteristics of the EMU bogie system under pulse excitation in the embodiment, and the embodiment of the signal processing device, the contents of which are incorporated herein, and the repeated parts are not repeated.

[0151] It is understandable that the user terminal may include a smart phone, a tablet electronic device, a network set-top box, a portable computer, a desktop computer, a personal digital assistant (PDA), a vehicle-mounted device, a smart wearable device, etc. Among them, the smart wearable device may include smart glasses, a smart watch, a smart bracelet, etc.

[0152] In practical applications, part of the method for testing the self-vibration characteristics of the EMU bogie system under pulse excitation can be performed on the electronic device side as described above, or all operations can be completed in the client device. The specific selection can be based on the processing capability of the client device and the limitations of the user's usage scenario. This application does not limit this. If all operations are completed in the client device, the client device may also include a processor.

[0153] The client device may have a communication module (i.e., a communication unit) that can communicate with a remote server to achieve data transmission with the server. The server may include a server on the task scheduling center side, and other implementation scenarios may also include a server on an intermediate platform, such as a server on a third-party server platform that has a communication link with the task scheduling center server. The server may include a single computer device, or a server cluster consisting of multiple servers, or a server structure of a distributed device.

[0154] Fig.12 FIG. 9 is a schematic block diagram of the system structure of the electronic device 9600 according to an embodiment of the present application. Fig.12 As shown, the electronic device 9600 may include a central processor 9100 and a memory 9140; the memory 9140 is coupled to the central processor 9100. It is worth noting that Fig.12 is exemplary; other types of structures may also be used to supplement or replace this structure to implement telecommunication functions or other functions.

[0155] In one embodiment, the function of the method for testing the self-vibration characteristics of the EMU bogie system under pulse excitation can be integrated into the central processor 9100. The central processor 9100 can be configured to perform the following control:

[0156] Step S101: construct test template configuration information, and send the configuration information to the signal acquisition device;

[0157] Step S102: confirm whether the received pulse excitation signal and acceleration signal meet the preset requirements;

[0158] Step S103: Calculating the frequency response function and the coherence function according to the input and output signals that have been verified and confirmed, and forming a frequency response function matrix for identifying the system's self-oscillation characteristic parameters;

[0159] Step S104: according to the frequency response function matrix, a stability modal identification algorithm is used to obtain the natural vibration characteristic parameters of the bogie system.

[0160] From the above description, it can be seen that the electronic equipment provided in the embodiment of the present application can realize a concise and rapid test and analysis system for the self-vibration characteristics of the EMU bogie system by establishing a convenient and efficient excitation method and test scheme for the self-vibration characteristics of the EMU bogie system, thereby providing a basis for the design and evaluation of the dynamic performance of the EMU.

[0161] In another embodiment, the signal processing device can be configured separately from the central processing unit 9100. For example, the signal processing device can be configured as a chip connected to the central processing unit 9100, and the function of the self-vibration characteristics test method of the EMU bogie system under pulse excitation is implemented through the control of the central processing unit.

[0162] like Fig.12 As shown, the electronic device 9600 may also include: a communication module 9110, an input unit 9120, an audio processor 9130, a display 9160, and a power supply 9170. It is worth noting that the electronic device 9600 does not necessarily have to include Fig.12 In addition, the electronic device 9600 may also include Fig.12 For components not shown, reference may be made to the prior art.

[0163] like Fig.12 As shown, the central processing unit 9100 is sometimes also referred to as a controller or an operation control, and may include a microprocessor or other processor device and / or logic device, which receives input and controls the operation of various components of the electronic device 9600.

[0164] The memory 9140 may be, for example, one or more of a cache, a flash memory, a hard drive, a removable medium, a volatile memory, a non-volatile memory or other suitable devices. The above-mentioned information related to the failure may be stored, and a program for executing the relevant information may also be stored. The CPU 9100 may execute the program stored in the memory 9140 to implement information storage or processing, etc.

[0165] The input unit 9120 provides input to the central processing unit 9100. The input unit 9120 is, for example, a key or a touch input device. The power supply 9170 is used to provide power to the electronic device 9600. The display 9160 is used to display display objects such as images and texts. The display may be, for example, an LCD display, but is not limited thereto.

[0166] The memory 9140 may be a solid-state memory, such as a read-only memory (ROM), a random access memory (RAM), a SIM card, etc. It may also be a memory that saves information even when the power is off, can be selectively erased, and is provided with more data, examples of which are sometimes referred to as EPROMs, etc. The memory 9140 may also be some other type of device. The memory 9140 includes a buffer memory 9141 (sometimes referred to as a buffer). The memory 9140 may include an application / function storage unit 9142, which is used to store application programs and function programs or processes for executing the operation of the electronic device 9600 through the central processor 9100.

[0167] The memory 9140 may also include a data storage unit 9143 for storing data, such as contacts, digital data, pictures, sounds, and / or any other data used by the electronic device. The driver storage unit 9144 of the memory 9140 may include various drivers for communication functions of the electronic device and / or for executing other functions of the electronic device (such as messaging applications, address book applications, etc.).

[0168] The communication module 9110 is a transmitter / receiver that sends and receives signals via the antenna 9111. The communication module (transmitter / receiver) 9110 is coupled to the central processor 9100 to provide input signals and receive output signals, which may be the same as the case of a conventional mobile communication terminal.

[0169] Based on different communication technologies, multiple communication modules 9110 may be provided in the same electronic device, such as a cellular network module, a Bluetooth module and / or a wireless LAN module, etc. The communication module (transmitter / receiver) 9110 is also coupled to a speaker 9131 and a microphone 9132 via an audio processor 9130 to provide an audio output via the speaker 9131 and receive an audio input from the microphone 9132, thereby realizing a common telecommunication function. The audio processor 9130 may include any suitable buffer, decoder, amplifier, etc. In addition, the audio processor 9130 is also coupled to the central processor 9100, so that recording can be performed on the local machine through the microphone 9132, and the sound stored on the local machine can be played through the speaker 9131.

[0170] The embodiments of the present application also provide a computer-readable storage medium capable of implementing all the steps in the method for testing the self-oscillation characteristics of a motor vehicle bogie system under pulse excitation in the above-mentioned embodiment, where the execution subject is a server or a client. A computer program is stored on the computer-readable storage medium. When the computer program is executed by a processor, all the steps in the method for testing the self-oscillation characteristics of a motor vehicle bogie system under pulse excitation in the above-mentioned embodiment are implemented. For example, when the processor executes the computer program, the following steps are implemented:

[0171] Step S101: construct test template configuration information, and send the configuration information to the signal acquisition device;

[0172] Step S102: confirm whether the received pulse excitation signal and acceleration signal meet the preset requirements;

[0173] Step S103: Calculating the frequency response function and the coherence function according to the input and output signals that have been verified and confirmed, and forming a frequency response function matrix for identifying the system's self-oscillation characteristic parameters;

[0174] Step S104: according to the frequency response function matrix, a stability modal identification algorithm is used to obtain the natural vibration characteristic parameters of the bogie system.

[0175] From the above description, it can be seen that the computer-readable storage medium provided in the embodiment of the present application can realize a concise and rapid test and analysis system for the self-vibration characteristics of the EMU bogie system by establishing a convenient and efficient excitation method and test scheme for the self-vibration characteristics of the EMU bogie system, thereby providing a basis for the design and evaluation of the dynamic performance of the EMU.

[0176] The embodiments of the present application also provide a computer program product capable of implementing all the steps in the method for testing the self-oscillation characteristics of the EMU bogie system under pulse excitation in the above-mentioned embodiment, where the execution subject is a server or a client. When the computer program / instruction is executed by a processor, the steps of the method for testing the self-oscillation characteristics of the EMU bogie system under pulse excitation are implemented. For example, the computer program / instruction implements the following steps:

[0177] Step S101: construct test template configuration information, and send the configuration information to the signal acquisition device;

[0178] Step S102: confirm whether the received pulse excitation signal and acceleration signal meet the preset requirements;

[0179] Step S103: Calculating the frequency response function and the coherence function according to the input and output signals that have been verified and confirmed, and forming a frequency response function matrix for identifying the system's self-oscillation characteristic parameters;

[0180] Step S104: according to the frequency response function matrix, a stability modal identification algorithm is used to obtain the natural vibration characteristic parameters of the bogie system.

[0181] From the above description, it can be seen that the computer program product provided in the embodiment of the present application, by establishing a convenient and efficient excitation method and test scheme for the self-vibration characteristics of the EMU bogie system, can realize a simple and rapid test and analysis system for the self-vibration characteristics of the EMU bogie system, thereby providing a basis for the design and evaluation of the dynamic performance of the EMU.

[0182] It will be appreciated by those skilled in the art that embodiments of the present invention may be provided as methods, devices, or computer program products. Therefore, the present invention may take the form of a complete hardware embodiment, a complete software embodiment, or an embodiment combining software and hardware. Moreover, the present invention may take the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.

[0183] The present invention is described with reference to flowcharts and / or block diagrams of methods, devices (apparatus), and computer program products according to embodiments of the present invention. It should be understood that each process and / or block in the flowchart and / or block diagram, as well as the combination of processes and / or blocks in the flowchart and / or block diagram, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing device to generate a machine, so that the instructions executed by the processor of the computer or other programmable data processing device generate instructions for implementing the processes in the flowchart and / or block diagram. Figure 1 A process or multiple processes and / or boxes Figure 1A device that provides the functions specified in a block or multiple blocks.

[0184] These computer program instructions may also be stored in a computer-readable memory capable of directing a computer or other programmable data processing device to operate in a specific manner, so that the instructions stored in the computer-readable memory produce an article of manufacture comprising an instruction device, which implements the process Figure 1 A process or multiple processes and / or boxes Figure 1 A function specified in one or more boxes.

[0185] These computer program instructions can also be loaded onto a computer or other programmable data processing device so that a series of operating steps are executed on the computer or other programmable device to produce a computer-implemented process, thereby providing instructions for implementing the process in the computer or other programmable device. Figure 1 A process or multiple processes and / or boxes Figure 1 The steps for the functions specified in one or more boxes.

[0186] The present invention uses specific embodiments to illustrate the principles and implementation methods of the present invention. The description of the above embodiments is only used to help understand the method of the present invention and its core idea. At the same time, for those skilled in the art, according to the idea of ​​the present invention, there will be changes in the specific implementation methods and application scope. In summary, the content of this specification should not be understood as a limitation on the present invention.

Claims

1. A test device for the self-vibration characteristics of a motor vehicle bogie system under pulse excitation, characterized in that: Including signal acquisition equipment and signal processing equipment; The signal acquisition device includes an acceleration sensor, an elastic hammer, an anti-aliasing filter and a signal transmission module; The acceleration sensor is used to collect acceleration signals of the bogie system under pulse excitation; The elastic hammer is used to apply a pulse excitation signal to the EMU bogie system; The anti-aliasing filter is used to filter out high-frequency components of the collected input pulse excitation signal and acceleration signal to avoid aliasing; The signal transmission module is used to store the digitized pulse excitation signal and acceleration signal and send them to the signal processing device; The signal processing device includes a test configuration module, a signal confirmation module, a frequency response calculation module and a self-oscillation characteristic parameter identification module; The test configuration module is used to construct test template configuration information and send the configuration information to the signal acquisition device; The signal confirmation module is used to confirm whether the received pulse excitation signal and acceleration signal meet the preset requirements; The frequency response calculation module is used to calculate the frequency response function and the coherence function according to the input and output signals that have been verified and confirmed, so as to form a frequency response function matrix for identifying the system's self-oscillation characteristic parameters; The self-oscillation characteristic parameter identification module is used to obtain the self-oscillation characteristic parameters of the bogie system according to the frequency response function matrix using a stability mode identification algorithm.

2. The self-vibration characteristics testing equipment for the EMU bogie system under pulse excitation according to claim 1 is characterized in that: The test configuration module includes: A scheme building unit is used to determine the excitation position and hammering sequence of the elastic force hammer and the arrangement position of the acceleration sensor according to the on-site conditions of the bogie system self-vibration characteristic test; The scheme interaction unit is used to send the constructed test template configuration information to the signal acquisition device.

3. The self-vibration characteristics test equipment of the EMU bogie system under pulse excitation according to claim 2, characterized in that; The excitation positions of the elastic force hammer include the ends and middle parts of the side beams of the bogie system and the middle parts of the cross beams where the deformation is the largest and can be contacted; The acceleration sensor is arranged at positions including the side beam ends, the middle, the transition, the middle beam, the motor and the brake disc connection position of the bogie system.

4. The self-vibration characteristics testing equipment for EMU bogie system under pulse excitation according to claim 1 is characterized in that: The frequency response calculation module includes: The function determination unit is used to obtain a corresponding frequency response function according to the auto-power spectrum matrix of the input signal and the cross-power spectrum matrix of the input and output signals; The matrix determination unit is used to determine the frequency response function matrix through matrix operation based on the multiple frequency response functions.

5. The self-vibration characteristic testing equipment of the EMU bogie system under pulse excitation according to claim 1 is characterized in that: The self-oscillation characteristic parameter identification module includes: A modal identification unit is used to: construct a system modal model based on the frequency response function matrix and use a stability modal identification algorithm to extract modal parameters related to the natural vibration characteristics of the bogie system; The parameter determination unit is used to: identify key natural vibration characteristic parameters of the bogie system by applying the least square estimation method based on the extracted modal parameters.

6. A method for testing the self-vibration characteristics of a motor vehicle bogie system under pulse excitation, characterized in that: The signal processing device according to claim 1, comprising: Constructing test template configuration information, and sending the configuration information to the signal acquisition device; Confirm whether the received pulse excitation signal and acceleration signal meet the preset requirements; Based on the input and output signals that have been verified and confirmed, the frequency response function and the coherence function are calculated to form a frequency response function matrix for identifying the system's self-oscillation characteristic parameters; According to the frequency response function matrix, a stability mode identification algorithm is used to obtain the natural vibration characteristic parameters of the bogie system.

7. The method for testing the self-vibration characteristics of the EMU bogie system under pulse excitation according to claim 6 is characterized in that: The step of constructing test template configuration information and sending the configuration information to the signal acquisition device includes: According to the on-site situation of the bogie system self-vibration characteristic test, determine the excitation position of the elastic force hammer, the hammering order, and the layout position of the acceleration sensor; The constructed test template configuration information is sent to the signal acquisition device.

8. The method for testing the self-vibration characteristics of the EMU bogie system under pulse excitation according to claim 7, characterized in that; The excitation positions of the elastic force hammer include the ends and middle parts of the side beams of the bogie system and the middle parts of the cross beams where the deformation is the largest and can be contacted; The acceleration sensor is arranged at positions including the side beam ends, the middle, the transition, the middle beam, the motor and the brake disc connection position of the bogie system.

9. The method for testing the self-vibration characteristics of the EMU bogie system under pulse excitation according to claim 6, characterized in that: The method of calculating the frequency response function and the coherence function based on the input and output signals that have been verified and confirmed, and forming a frequency response function matrix for identifying the system's self-oscillation characteristic parameters, includes: According to the auto-power spectrum matrix of the input signal and the cross-power spectrum matrix of the input and output signals, the corresponding frequency response function is obtained; Based on the multiple frequency response functions, the frequency response function matrix is ​​determined through matrix operation.

10. The method for testing the self-vibration characteristics of the EMU bogie system under pulse excitation according to claim 6, characterized in that: The method of obtaining the bogie system self-vibration characteristic parameters by using a stability modal identification algorithm according to the frequency response function matrix includes: According to the frequency response function matrix, a system modal model is constructed using a stability modal identification algorithm to extract modal parameters related to the natural vibration characteristics of the bogie system; Based on the extracted modal parameters, the least squares estimation method is applied to identify the key natural vibration characteristic parameters of the bogie system.

11. An electronic device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, characterized in that: When the processor executes the program, the steps of the method for testing the self-vibration characteristics of the EMU bogie system under pulse excitation as described in any one of claims 6 to 10 are implemented.

12. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the steps of the method for testing the self-vibration characteristics of the EMU bogie system under pulse excitation as described in any one of claims 6 to 10 are implemented.

13. A computer program product comprising a computer program / instructions, characterized in that When the computer program / instruction is executed by a processor, the steps of the method for testing the self-vibration characteristics of the EMU bogie system under pulse excitation as described in any one of claims 6 to 10 are implemented.

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