Abnormal vibration analysis system for driving circuit

Abstract

The invention provides an abnormal vibration analysis system for a driving circuit, and belongs to the technical field of vibration detection, the system comprises a sensor network module, a vibration analysis module and a mode module, the vibration data of the circuit is comprehensively acquired by constructing a microscopic and macroscopic sensor network, and multi-physical field analysis is performed by combining a coupling simulation technology; the overall influence of vibration on the circuit is accurately evaluated, the limitation of a traditional monitoring system is overcome, the health state of the circuit can be comprehensively reflected, the accuracy and response speed of fault early warning are improved, and the reliability and safety of the circuit are ensured.

Description

Technical Field

[0001] The present invention relates to the field of vibration detection technology, and in particular to an abnormal vibration analysis system for a driving circuit. Background Art

[0002] At present, many monitoring systems use a single type of sensor (such as accelerometers, temperature sensors) for data collection, which often cannot fully reflect the health status of the circuit. Traditional methods often ignore the impact of vibration at the micro and macro levels, resulting in an incomplete assessment of the health status of the circuit. In addition, the ability to fusion and analyze data is limited, and it is impossible to effectively process data from different sensors.

[0003] Therefore, the present invention provides an abnormal vibration analysis system for a drive circuit. Summary of the invention

[0004] The present invention provides an abnormal vibration analysis system for a driving circuit. By constructing a microscopic and macroscopic sensor network, the system comprehensively collects the vibration data of the circuit, combines coupling simulation technology to perform multi-physical field analysis, and accurately evaluates the overall impact of vibration on the circuit. It overcomes the limitations of traditional monitoring systems, can comprehensively reflect the health status of the circuit, improve the accuracy and response speed of fault warning, and ensure the reliability and safety of the circuit.

[0005] The present invention provides an abnormal vibration analysis system for a drive circuit, comprising: Sensor network module: obtain the circuit structure of the driving circuit, perform structural analysis on the circuit structure, and create a micro sensor network and a macro sensor network according to the structural analysis results; Vibration analysis module: collects micro data and macro data based on the micro sensor network and the macro sensor network, performs vibration analysis on the micro data and the macro data, and obtains vibration analysis results; Mode module: Combines coupling simulation technology to perform multi-physics field coupling on the vibration analysis results, determines the overall impact of vibration on the drive circuit, and then determines the overall vibration mode of the drive circuit.

[0006] The present invention provides an abnormal vibration analysis system for a driving circuit, a sensor network module, comprising: A connection relationship unit: obtaining a circuit diagram of a driving circuit, performing structural analysis on the circuit structure in the circuit diagram, obtaining circuit modules and structural analysis results, and determining the connection relationship between each circuit module and other circuit modules based on the flow of signal flows; Boundary unit: obtaining actual working conditions of the driving circuit, and determining a first boundary condition of the driving circuit and a second boundary condition of the circuit module according to the actual working conditions and the connection relationship; Micro unit: Analyze the performance of the driving circuit and build a micro sensor network based on the performance analysis results and the first boundary condition; Macro unit: Determine the application requirements and application scale of the driving circuit based on the structural analysis results, and build a macro sensor network based on the second boundary condition.

[0007] The present invention provides an abnormal vibration analysis system for a drive circuit, a vibration analysis module, comprising: Microscopic analysis unit: determines the potential fatigue point of each circuit module based on the microscopic data, extracts the microscopic vibration signal from the microscopic data, performs microscopic vibration analysis on the microscopic vibration signal to determine the microscopic vibration mode, and then determines the module vibration threshold; Macro analysis unit: determine the vibration response of the driving circuit according to the macro data, track the vibration path of the vibration response, determine the macro vibration mode, and then determine the circuit vibration threshold; Comprehensive unit: Comprehensively obtain the vibration analysis result by combining the module vibration threshold and the circuit vibration threshold.

[0008] The present invention provides an abnormal vibration analysis system for a drive circuit, a microscopic analysis unit, comprising: Fatigue point block: Identify the key components of each circuit module based on microscopic data, determine the local stress and strain corresponding to each key component, and determine the potential fatigue point of each circuit module based on the local stress and strain; Module threshold block: extracts micro-vibration signals from micro-data and decomposes them. According to the decomposition results, the micro-vibration characteristics in different frequency ranges corresponding to each circuit module are determined. Then, the micro-vibration mode corresponding to each circuit module is matched from the mode-module-feature table, and the module vibration threshold of each micro-vibration mode is set according to the potential fatigue point corresponding to each circuit module.

[0009] The present invention provides an abnormal vibration analysis system for a drive circuit, a macro analysis unit, comprising: Dynamic behavior block: extracts the vibration response of the drive circuit from the macro data, performs macro vibration analysis on the vibration response, obtains the dynamic characteristics of the drive circuit, and evaluates the vibration response of the drive circuit in different modes based on the dynamic characteristics, thereby determining the dynamic behavior of the drive circuit during operation; Macro mode block: tracking the vibration path of the dynamic behavior, identifying the vibration source and the corresponding vibration propagation path, determining the vibration influence of the vibration source on the driving circuit based on the vibration propagation path, and then determining the macro vibration mode; Circuit threshold block: identifies the resonance condition of the driving circuit according to the macro vibration mode, and determines the circuit vibration threshold based on the resonance condition and the macro vibration mode.

[0010] The present invention provides an abnormal vibration analysis system for a driving circuit, a circuit threshold block, comprising: ,in, represents the circuit vibration threshold at time t; The weight coefficient representing the vibration amplitude; represents the vibration amplitude in the i-th direction at time t; represents the influence index associated with the i-th vibration amplitude; Represents the weight coefficient of frequency response; represents the modulus of the frequency response of the driving circuit at time t; represents the vibration amplitude at the jth frequency; represents the influence index associated with the jth frequency; represents the weight coefficient of temperature effect; represents the temperature effect function; r represents the influence index of the temperature effect; represents the damping effect function at time t; s represents the influence index of the damping effect; represents the random perturbation function; n represents the total number of directions of the received vibration amplitude; m represents the number of vibration amplitudes associated with the frequency response; j represents the index of the frequency detected by the driving circuit; i represents the index of the direction of the vibration amplitude detected by the driving circuit; ,in, Indicates the reference temperature of the drive circuit; Indicates the degree of influence of temperature change on the driving circuit; Indicates the storage temperature of the drive circuit; T indicates the current operating temperature of the drive circuit; represents the temperature disturbance at time t.

[0011] The present invention provides an abnormal vibration analysis system for a drive circuit, a mode module, comprising: Coupling unit: using coupling simulation technology to simulate the interaction between various physical fields of the vibration analysis results; Mode determination unit: evaluates the influence of vibration on the performance of the driving circuit according to the coupling effect between various physical fields in the simulation results, and then obtains key performance indicators; evaluates the overall influence of vibration on the driving circuit based on the key performance indicators; establishes a detection model based on the overall influence, and then determines the overall vibration mode of the driving circuit.

[0012] The present invention provides an abnormal vibration analysis system for a drive circuit, a coupling unit, comprising: Simulation boundary block: defines the coupling relationship between various physical fields based on the vibration analysis results, and determines the simulation boundary based on the micro sensor network and the macro sensor network; Simulation area block: setting a first grid density according to the potential fatigue point and the vibration propagation path, setting a second grid density for the remaining area, and performing simulation area setting based on the first grid density and the second grid density; Simulation block: performing coupled simulation on the vibration analysis results in combination with the simulation boundary and the simulation area.

[0013] Compared with the prior art, the beneficial effects of the present application are as follows: by constructing a microscopic and macroscopic sensor network, comprehensively collecting the vibration data of the circuit, combining coupled simulation technology to perform multi-physical field analysis, and accurately evaluating the overall impact of vibration on the circuit, the limitations of traditional monitoring systems are overcome, and the circuit health status can be comprehensively reflected, the accuracy and response speed of fault warning can be improved, and the reliability and safety of the circuit can be ensured.

[0014] Other features and advantages of the present invention will be described in the following description, and partly become apparent from the description, or understood by practicing the present invention. The purpose and other advantages of the present invention can be realized and obtained by the structures particularly pointed out in the written description and the accompanying drawings.

[0015] The technical solution of the present invention is further described in detail below through the accompanying drawings and embodiments. BRIEF DESCRIPTION OF THE DRAWINGS

[0016] The accompanying drawings are used to provide a further understanding of the present invention and constitute a part of the specification. Together with the embodiments of the present invention, they are used to explain the present invention and do not constitute a limitation of the present invention. In the accompanying drawings: Figure 1 It is a structural schematic diagram of an abnormal vibration analysis system for a drive circuit provided by an embodiment of the present invention. DETAILED DESCRIPTION

[0017] The preferred embodiments of the present invention are described below in conjunction with the accompanying drawings. It should be understood that the preferred embodiments described herein are only used to illustrate and explain the present invention, and are not used to limit the present invention.

[0018] Embodiment 1: The embodiment of the present invention provides an abnormal vibration analysis system for a drive circuit, such as Figure 1 As shown, including: Sensor network module: obtain the circuit structure of the driving circuit, perform structural analysis on the circuit structure, and create a micro sensor network and a macro sensor network according to the structural analysis results; Vibration analysis module: collects micro data and macro data based on the micro sensor network and the macro sensor network, performs vibration analysis on the micro data and the macro data, and obtains vibration analysis results; Mode module: Combines coupling simulation technology to perform multi-physics field coupling on the vibration analysis results, determines the overall impact of vibration on the drive circuit, and then determines the overall vibration mode of the drive circuit.

[0019] In this embodiment, the structural analysis of the circuit structure is to decompose the circuit diagram, identify the various components (such as resistors, capacitors, transistors, etc.) and their connection relationships, and analyze the functional modules of the circuit (such as amplifiers, filters, etc.). For example, in an amplifier circuit, identify the path of the input signal, the gain setting, and the connection of the output terminal.

[0020] In this embodiment, the macro sensor network is a network composed of multiple macro sensors, which is used to monitor the overall performance and environmental impact of the driving circuit. For example, in industrial automation, temperature and humidity sensors are used to monitor the production environment to ensure the normal operation of the equipment.

[0021] In this embodiment, the structural analysis result is detailed information obtained after analyzing the circuit structure, including the function, connection relationship and performance index of the module. For example, after the circuit analysis, it is concluded that a certain module is a low-pass filter with a cut-off frequency of 1kHz.

[0022] In this embodiment, the micro sensor network is a network composed of multiple micro sensors, which is used to monitor the micro performance of the driving circuit in real time, such as temperature, current, etc. For example, in a power module, multiple thermistors are used to monitor the temperature of different areas.

[0023] In this embodiment, the microscopic data is high-resolution data collected from a microscopic sensor network, reflecting the performance and status of the circuit module at the microscopic level, such as temperature, strain, vibration frequency, etc. For example, the microscopic vibration frequency data collected by the acceleration sensor installed on the circuit board.

[0024] In this embodiment, the macro data is data collected from a macro sensor network, reflecting the performance and status of the entire drive circuit at the macro level, such as the overall vibration level, temperature distribution, etc. For example, the vibration intensity data of the circuit under different working conditions is collected using an environmental monitoring sensor.

[0025] In this embodiment, the vibration analysis result is a comprehensive result obtained by combining micro and macro analysis, describing the performance of the circuit in a vibration environment, potential failure points and optimization suggestions. For example, the analysis result shows that a certain circuit has a potential failure risk at a specific frequency, and it is recommended to add vibration reduction measures.

[0026] In this embodiment, the potential fatigue points of the circuit module are identified through microscopic data analysis, the microscopic vibration signal is extracted and its mode and threshold are determined; at the same time, the macroscopic data analysis is used to determine the vibration response of the driving circuit, track the vibration path and determine the macroscopic vibration mode and threshold, and the vibration thresholds of these two parts are combined to obtain a comprehensive vibration analysis result. In this embodiment, the various physical fields include: mechanical field: describing the mechanical behavior of solids (such as stress and strain), thermal field: involving temperature distribution and heat conduction process, electric field: describing the distribution of current, voltage and electric field strength, electromagnetic field: including the propagation and interaction of electromagnetic waves. For example, in a car engine, the mechanical field involves the vibration of the engine, the thermal field involves the temperature change of the engine, and the electric field involves the current distribution of the ignition system.

[0027] In this embodiment, the overall impact refers to the comprehensive effect of vibration on the performance of the entire drive circuit, including the impact on key performance indicators. For example, in a vibration test, the vibration of the motor may cause its efficiency to decrease, the temperature to increase, and the life to be shortened. The overall impact may be comprehensively evaluated through these indicators.

[0028] In this embodiment, the coupling simulation technology is a comprehensive calculation method for simultaneously considering the interaction between multiple physical fields. This technology usually uses numerical simulation tools (such as finite element analysis, computational fluid dynamics, etc.) to analyze the dynamic behavior of the system. For example, when analyzing a motor, the coupling simulation can simultaneously consider the interaction between mechanical vibration, heat conduction and electromagnetic fields. For example, the heat generated by the motor during operation may affect its magnetic field characteristics, and these characteristics in turn affect the mechanical vibration of the motor.

[0029] In this embodiment, the difference between the overall vibration mode and the macro vibration mode is that the overall vibration mode: comprehensively considers the vibration characteristics after the interaction of all physical fields, usually involving the combined effects of multiple factors, and the macro vibration mode usually refers to large-scale, global vibration characteristics, which may not involve microscopic or local details, and pays more attention to the response of the overall system. For example, the overall vibration mode: in a motor, the overall vibration mode may show vibration characteristics under different temperature and load conditions; the macro vibration mode: may only focus on the overall vibration of the motor under maximum load, without considering the impact of temperature changes on vibration.

[0030] The working principle and beneficial effects of the above technical solution are: by constructing a micro and macro sensor network, comprehensively collecting the vibration data of the circuit, combining coupled simulation technology to perform multi-physical field analysis, and accurately evaluating the overall impact of vibration on the circuit, it overcomes the limitations of traditional monitoring systems, can comprehensively reflect the health status of the circuit, improve the accuracy and response speed of fault warning, and ensure the reliability and safety of the circuit.

[0031] Embodiment 2: The embodiment of the present invention provides an abnormal vibration analysis system for a driving circuit, a sensor network module, including: A connection relationship unit: obtaining a circuit diagram of a driving circuit, performing structural analysis on the circuit structure in the circuit diagram, obtaining circuit modules and structural analysis results, and determining the connection relationship between each circuit module and other circuit modules based on the flow of signal flows; Boundary unit: obtaining actual working conditions of the driving circuit, and determining a first boundary condition of the driving circuit and a second boundary condition of the circuit module according to the actual working conditions and the connection relationship; Micro unit: Analyze the performance of the driving circuit and build a micro sensor network based on the performance analysis results and the first boundary condition; Macro unit: Determine the application requirements and application scale of the driving circuit based on the structural analysis results, and build a macro sensor network based on the second boundary condition.

[0032] In this embodiment, the circuit module is an independent functional unit in the circuit, such as an amplifier, an oscillator, a filter, etc., which can perform specific functions. For example, an operational amplifier circuit can be regarded as a module whose input and output are connected to other modules.

[0033] In this embodiment, the flow of the signal flow is the transmission path and direction of the signal in the circuit, describing the flow process of the signal from input to output. For example, in an audio amplifier circuit, the signal flows from the input microphone to the amplifier and then to the speaker.

[0034] In this embodiment, the connection relationship refers to the interconnection mode between circuit modules, including how to connect through wires or other elements, for example, a filter module and an amplifier module are connected through capacitors to form a complete signal processing chain.

[0035] In this embodiment, the actual working conditions are the environmental conditions of the driving circuit in actual applications, such as temperature, humidity, load conditions, etc. For example, in an automotive electronic system, the circuit may work in a high temperature and vibration environment.

[0036] In this embodiment, the first boundary condition is a constraint condition imposed on the circuit module based on actual working conditions, such as input voltage range, operating frequency, etc. For example, for a power amplifier, the first boundary condition may be that the maximum input voltage is 5V.

[0037] In this embodiment, the second boundary condition is a specific requirement for the circuit module, such as output load, electrical characteristics of the working environment, etc. For example, in a sensor module, the second boundary condition may be that the output signal must be between 0-10V.

[0038] In this embodiment, the performance analysis result is a performance evaluation of the circuit module under specific conditions, including gain, frequency response, power consumption, etc. For example, after testing, a certain amplifier has a gain of 20dB at 1kHz and a power consumption of 50mW.

[0039] In this embodiment, the application requirements and application scale refer to the functional requirements and applicable scale (such as a single device or a large-scale system) that the circuit needs to meet in actual applications. For example, in a smart home system, the requirement may be to achieve wireless control, while the application scale may be to cover the entire house.

[0040] The working principle and beneficial effects of the above technical solution are: by analyzing the circuit diagram of the driving circuit, determining the circuit modules and their connection relationships, setting boundary conditions based on actual working conditions, and then constructing micro and macro sensor networks, a comprehensive analysis of circuit performance is achieved, which can simultaneously consider the impact of micro and macro levels, improve the accuracy and reliability of data acquisition, and thus comprehensively evaluate the health status of the circuit, and enhance fault warning capabilities and response speed.

[0041] Embodiment 3: The embodiment of the present invention provides an abnormal vibration analysis system for a drive circuit, a vibration analysis module, including: Microscopic analysis unit: determines the potential fatigue point of each circuit module based on the microscopic data, extracts the microscopic vibration signal from the microscopic data, performs microscopic vibration analysis on the microscopic vibration signal to determine the microscopic vibration mode, and then determines the module vibration threshold; Macro analysis unit: determine the vibration response of the driving circuit according to the macro data, track the vibration path of the vibration response, determine the macro vibration mode, and then determine the circuit vibration threshold; Comprehensive unit: Comprehensively obtain the vibration analysis result by combining the module vibration threshold and the circuit vibration threshold.

[0042] In this embodiment, the potential fatigue point is a specific location in the circuit module that may cause material fatigue or failure due to long-term use or external environmental influences. For example, a solder joint on a circuit board may develop microcracks due to frequent vibration and become a potential fatigue point.

[0043] In this embodiment, the process of extracting micro-vibration signals is to capture vibration data through a micro-sensor, convert the raw data into a frequency domain signal using signal processing technology (such as Fourier transform), and extract specific frequency components. For example, the time domain signal obtained by the acceleration sensor is processed by FFT to extract the main vibration frequency components.

[0044] In this embodiment, the microscopic vibration mode reflects the vibration characteristics and behavior patterns of the circuit module at the microscopic level, and is usually described by frequency and amplitude. For example, a vibration mode with a frequency of 100 Hz observed in a circuit module may be related to the resonant frequency of the module.

[0045] In this embodiment, the module vibration threshold is an upper limit of the vibration intensity or frequency defined in microscopic analysis. Exceeding this threshold may cause module damage or performance degradation. For example, the vibration threshold of a circuit module is set to 5g (gravitational acceleration). Exceeding this value may cause failure.

[0046] In this embodiment, the vibration response is the reaction of the circuit to external vibration stimulation, which is usually manifested as the displacement, velocity and acceleration changes of the circuit module, for example, the acceleration changes recorded by the acceleration sensor of the circuit board when affected by an external vibration source.

[0047] In this embodiment, vibration path tracing is to analyze the propagation path of vibration in the circuit module to determine the impact of the vibration source on each module, for example, by analyzing the vibration signal, determining the path of vibration transmission from the power module to the control module.

[0048] In this embodiment, the macro vibration mode reflects the vibration characteristics of the entire driving circuit at the macro level, and is usually a comprehensive description of the vibration behavior of multiple modules. For example, the low-frequency vibration mode exhibited by the entire circuit when working may be related to the operating frequency of the device.

[0049] In this embodiment, the circuit vibration threshold is the upper limit of the vibration intensity or frequency set for the entire drive circuit in the macro analysis. Exceeding this threshold may cause circuit failure or performance degradation. For example, the circuit vibration threshold is set to 10g. Maintenance or inspection is required when this value is exceeded.

[0050] The working principle and beneficial effects of the above technical solution are: identifying potential fatigue points of circuit modules through micro data analysis, extracting micro vibration signals and determining their patterns and thresholds; at the same time, macro data analysis is used to determine the vibration response of the drive circuit, track the vibration path and determine the macro vibration pattern and threshold, and combine the vibration thresholds of these two parts to obtain comprehensive vibration analysis results, improve the reliability of circuit modules, identify potential faults in advance, optimize design and maintenance strategies, thereby extending equipment life and reducing failure rates.

[0051] Embodiment 4: The embodiment of the present invention provides an abnormal vibration analysis system for a drive circuit, a microscopic analysis unit, including: Fatigue point block: Identify the key components of each circuit module based on microscopic data, determine the local stress and strain corresponding to each key component, and determine the potential fatigue point of each circuit module based on the local stress and strain; Module threshold block: extracts micro-vibration signals from micro-data and decomposes them. According to the decomposition results, the micro-vibration characteristics in different frequency ranges corresponding to each circuit module are determined. Then, the micro-vibration mode corresponding to each circuit module is matched from the mode-module-feature table, and the module vibration threshold of each micro-vibration mode is set according to the potential fatigue point corresponding to each circuit module.

[0052] In this embodiment, the key components are the components in the circuit module that have the greatest impact on the overall performance and reliability, and are usually components that are susceptible to fatigue or damage. For example, in a power module, a capacitor may be a key component because it is prone to aging and failure under high-frequency vibration.

[0053] In this embodiment, local stress is the stress caused by the force applied at a specific location (such as a solder joint, a contact point); local strain is the degree of material deformation caused by local stress. For example, at the solder joint of a circuit board, due to vibration, the local stress of the solder joint may reach 150 MPa, resulting in a local strain of 0.01%.

[0054] In this embodiment, the micro-vibration signal is vibration data captured from a micro-sensor, usually expressed in the form of a time series, reflecting the vibration behavior of the circuit module. For example, the acceleration change curve generated by the circuit board during operation recorded by an acceleration sensor shows a specific vibration pattern.

[0055] In this embodiment, the decomposition process performs frequency domain analysis on the micro-vibration signal, usually using methods such as Fourier transform (FFT) to decompose the time domain signal into different frequency components. For example, FFT processing is performed on a section of micro-vibration signal to obtain a spectrum diagram, which displays each frequency component and its amplitude, such as the vibration amplitude at 50Hz, 100Hz and 150Hz.

[0056] In this embodiment, the micro-vibration characteristics are characteristic parameters extracted from the micro-vibration signal, such as frequency, amplitude, phase, etc., which describe the characteristics of the vibration. For example, in the analysis results, the micro-vibration characteristics of a circuit module show that the vibration amplitude is 4g at 120Hz.

[0057] In this embodiment, the mode-module-feature table is a matching table that lists the vibration modes of different circuit modules and their corresponding features to help identify and analyze the vibration behavior of the modules. For example, the table may include that the microscopic vibration mode corresponding to the "power module" is "high-frequency resonance" and the feature is "frequency range of 100Hz to 200Hz".

[0058] In this embodiment, the microscopic vibration mode is a specific vibration behavior or characteristic mode exhibited by the circuit module within a specific frequency range. For example, a circuit module exhibits obvious resonance characteristics at 75 Hz, forming a specific microscopic vibration mode, which may lead to increased local stress.

[0059] The working principle and beneficial effects of the above technical solution are: identifying the key components of the circuit module through microscopic data, analyzing its local stress and strain to determine the potential fatigue points, extracting and decomposing the microscopic vibration signal, identifying the vibration characteristics in different frequency ranges, and matching the microscopic vibration mode using the pattern-module-feature table. Finally, setting the corresponding vibration threshold for each module, accurately identifying the fatigue risk at the microscopic level, and improving the accuracy and early warning capability of circuit health monitoring.

[0060] Embodiment 5: The embodiment of the present invention provides an abnormal vibration analysis system for a drive circuit, a macro analysis unit, including: Dynamic behavior block: extracts the vibration response of the drive circuit from the macro data, performs macro vibration analysis on the vibration response, obtains the dynamic characteristics of the drive circuit, and evaluates the vibration response of the drive circuit in different modes based on the dynamic characteristics, thereby determining the dynamic behavior of the drive circuit during operation; Macro mode block: tracking the vibration path of the dynamic behavior, identifying the vibration source and the corresponding vibration propagation path, determining the vibration influence of the vibration source on the driving circuit based on the vibration propagation path, and then determining the macro vibration mode; Circuit threshold block: identifies the resonance condition of the driving circuit according to the macro vibration mode, and determines the circuit vibration threshold based on the resonance condition and the macro vibration mode.

[0061] In this embodiment, the vibration response is the reaction of the driving circuit under the action of external excitation (such as vibration, impact, etc.), which is usually manifested as a change in displacement, velocity or acceleration. For example, when a periodic vibration signal is applied, the acceleration change curve recorded by the acceleration sensor of the circuit is the vibration response.

[0062] In this embodiment, the process of macro vibration analysis is to obtain macro vibration data from the sensor, filter and denoise the data, analyze the spectrum of the vibration signal using methods such as Fourier transform, and extract key dynamic characteristic parameters (such as frequency, amplitude, phase, etc.). For example, FFT analysis is performed on the vibration signal of the circuit under different working conditions to obtain its spectrum characteristics.

[0063] In this embodiment, the dynamic characteristics describe the behavioral characteristics of the system under dynamic conditions, including natural frequency, damping ratio and vibration mode. For example, the natural frequency of a circuit is 200 Hz and the damping ratio is 0.05, indicating that it is easy to vibrate at this frequency.

[0064] In this embodiment, different modes are vibration modes of the system at different frequencies, and each mode corresponds to a specific vibration characteristic. For example, a circuit module exhibits a first mode (bending vibration) at 100 Hz and a second mode (torsional vibration) at 300 Hz.

[0065] In this embodiment, the dynamic behavior is the overall vibration characteristics exhibited by the system during operation, including vibration amplitude, frequency, and mode, etc. For example, during operation, the vibration amplitude of the circuit module at different frequencies changes, showing its dynamic behavior.

[0066] In this embodiment, vibration path tracing is to analyze the propagation path of vibration from the source to each component and identify how the vibration propagates in the system. For example, by arranging sensors, the vibration path from the motor to the circuit board is traced, and it is found that the vibration propagates to the circuit module through the bracket.

[0067] In this embodiment, the vibration source and the corresponding vibration propagation path are that the vibration source is the component that causes the vibration, and the propagation path is the way the vibration is transmitted from the source to other components. For example, the motor acts as a vibration source and transmits the vibration to the connected circuit module through cables and brackets.

[0068] In this embodiment, the vibration impact is the impact of the vibration source on the circuit module, including the impact on the circuit performance and reliability. For example, the vibration of the motor causes a slight displacement of the circuit board, which may affect the contact quality of the connector.

[0069] In this embodiment, the resonance situation is that when the external excitation frequency matches the natural frequency of the system, the system will resonate, resulting in a significant increase in the vibration amplitude. For example, at a frequency of 150 Hz, the circuit module has a significant vibration increase, indicating a resonance phenomenon. The resonance situation is reflected in the model through natural frequency, vibration amplitude, damping effect, temperature effect, random disturbance and other aspects. Comprehensive consideration of these factors helps to accurately calculate the vibration threshold of the drive circuit.

[0070] The working principle and beneficial effects of the above technical solution are: by extracting the macroscopic vibration response of the driving circuit, performing vibration analysis to obtain dynamic characteristics, and evaluating the vibration response in different modes, identifying the vibration source and its propagation path through vibration path tracking, determining its impact on the circuit, and identifying the resonance situation, and finally setting the circuit vibration threshold, improving the understanding of the dynamic behavior of the driving circuit, optimizing the design to avoid resonance, reducing the risk of failure caused by vibration, and improving the stability and reliability of the system.

[0071] Embodiment 6: The embodiment of the present invention provides an abnormal vibration analysis system for a driving circuit, a circuit threshold block, including: ,in, represents the circuit vibration threshold at time t; The weight coefficient representing the vibration amplitude; represents the vibration amplitude in the i-th direction at time t; represents the influence index associated with the i-th vibration amplitude; Represents the weight coefficient of frequency response; represents the modulus of the frequency response of the driving circuit at time t; represents the vibration amplitude at the jth frequency; represents the influence index associated with the jth frequency; represents the weight coefficient of temperature effect; represents the temperature effect function; r represents the influence index of the temperature effect; represents the damping effect function at time t; s represents the influence index of the damping effect; represents the random perturbation function; n represents the total number of directions of the received vibration amplitude; m represents the number of vibration amplitudes associated with the frequency response; j represents the index of the frequency detected by the driving circuit; i represents the index of the direction of the vibration amplitude detected by the driving circuit; ,in, Indicates the reference temperature of the drive circuit; Indicates the degree of influence of temperature change on the driving circuit; Indicates the storage temperature of the drive circuit; T indicates the current operating temperature of the drive circuit; represents the temperature disturbance at time t.

[0072] In this embodiment, the damping effect function describes the influence of damping in the system on the vibration response. Damping refers to the energy dissipation of a material or structure during vibration, and is usually expressed as a damping ratio or a damping coefficient. ,in, represents the initial damping value of the drive circuit, Represents the initial damping ratio, ranging from [0,1].

[0073] In this embodiment, the temperature effect function describes the influence of temperature change on the performance of the driving circuit, including changes in material properties (such as elastic modulus, damping coefficient, etc.).

[0074] The working principle and beneficial effects of the above technical solution are: by establishing a mathematical model, comprehensively considering factors such as vibration amplitude, frequency response, temperature effect, damping effect and random disturbance, the vibration threshold of the driving circuit under different conditions is calculated, and the weight coefficient and influence index of each parameter in the model are used to quantify the influence of these factors on the vibration threshold, thereby achieving a comprehensive evaluation of the dynamic behavior of the circuit, improving the ability to predict the vibration response of the circuit under various environmental conditions, and optimizing the design to enhance the stability and anti-interference ability of the circuit.

[0075] Embodiment 7: The embodiment of the present invention provides an abnormal vibration analysis system for a drive circuit, a mode module, including: Coupling unit: using coupling simulation technology to simulate the interaction between various physical fields of the vibration analysis results; Mode determination unit: evaluates the influence of vibration on the performance of the driving circuit according to the coupling effect between various physical fields in the simulation results, and then obtains key performance indicators; evaluates the overall influence of vibration on the driving circuit based on the key performance indicators; establishes a detection model based on the overall influence, and then determines the overall vibration mode of the driving circuit.

[0076] In this embodiment, interaction refers to the influence and feedback between different physical fields. For example, mechanical vibration may cause the temperature of a material to rise, which in turn affects the performance of the material. For example, in a vibration test device, mechanical vibration may cause the electrical components inside the device to heat up, thereby affecting its electrical performance.

[0077] In this embodiment, the key performance indicators are quantitative parameters used to evaluate system performance, such as vibration amplitude: such as the maximum vibration displacement when the motor is running, resonant frequency: the response of the circuit at a specific frequency, temperature change: the degree of temperature increase of the motor during operation, electrical performance: such as current stability and voltage fluctuation.

[0078] In this embodiment, the coupling effect refers to the influence between different physical fields. For example, mechanical vibration may cause the temperature of the material to rise, which in turn affects the strength and stiffness of the material. For example, in an electric motor, vibration may cause the temperature of the motor winding to rise, which in turn affects the efficiency and life of the motor.

[0079] In this embodiment, the detection model is a mathematical or computational model established based on coupling simulation and key performance indicators, and is used to predict and evaluate the performance of the drive circuit under different vibration conditions. For example, a model based on finite element analysis can be used to monitor the performance of the motor under different vibration conditions in real time and predict possible faults.

[0080] In this embodiment, the overall vibration mode refers to the vibration characteristics of the system after considering the interactions of all physical fields, including information such as vibration amplitude, frequency, phase, etc. For example, in the vibration analysis of a motor, the overall vibration mode can display the vibration characteristics of the motor under different operating conditions, such as the response under different loads and frequencies.

[0081] The working principle and beneficial effects of the above technical solution are: through coupling simulation technology, the interaction between different physical fields (such as mechanical, thermal, electromagnetic, etc.) is analyzed, the impact of vibration on the performance of the driving circuit is evaluated, key performance indicators are extracted according to the simulation results, and then a detection model is established to determine the overall vibration mode of the driving circuit, fully understand the comprehensive impact of vibration on circuit performance, optimize the design to enhance the circuit's vibration resistance, improve the system's reliability and stability, reduce the risk of failure, and ensure the normal operation of the equipment under various working conditions.

[0082] Embodiment 8: An embodiment of the present invention provides an abnormal vibration analysis system for a drive circuit, a coupling unit, including: Simulation boundary block: defines the coupling relationship between various physical fields based on the vibration analysis results, and determines the simulation boundary based on the micro sensor network and the macro sensor network; Simulation area block: setting a first grid density according to the potential fatigue point and the vibration propagation path, setting a second grid density for the remaining area, and performing simulation area setting based on the first grid density and the second grid density; Simulation block: performing coupled simulation on the vibration analysis results in combination with the simulation boundary and the simulation area.

[0083] In this embodiment, the coupling relationship refers to the interaction and influence between different physical fields, for example, the mutual influence between mechanical vibration, heat conduction, electromagnetic field, etc. In vibration analysis, the coupling relationship can describe how the change of a physical field (such as vibration) affects the state of other physical fields (such as temperature or electromagnetic field). For example, in an electric motor, rotor vibration may cause the bearing temperature to increase, which in turn affects the material properties and vibration mode of the rotor.

[0084] In this embodiment, the simulation boundary refers to the boundary condition defined in the vibration analysis, which is used to describe the interaction area between physical fields. The simulation boundary is determined by a microscopic and macroscopic sensor network to ensure that the interaction of each physical field is accurately reflected in the simulation. For example, in the vibration analysis of a robotic arm, the simulation boundary can be the contact surface between the robotic arm and the base, which defines how the vibration is transmitted through the contact surface.

[0085] In this embodiment, the first mesh density refers to a higher mesh density set at potential fatigue points to improve the accuracy of the simulation. In these key areas, the mesh is finer to more accurately capture the vibration characteristics and stress distribution. For example, in the vibration analysis of a bridge, the connection points and support points of the bridge may be potential fatigue points, so a high mesh density is used in these areas.

[0086] In this embodiment, the second grid density refers to a lower grid density set in the remaining areas to reduce the computational burden. In less critical areas, a coarser grid is used to maintain the effectiveness of the overall simulation while reducing the computational complexity. For example, in the analysis of the same bridge, a lower grid density can be used in other areas of the bridge deck because these areas have relatively little impact on the overall structure.

[0087] In this embodiment, the simulation area refers to the area setting that combines the first grid density and the second grid density in the vibration analysis. The simulation area covers all physical fields and defines the distribution of different grid densities for more accurate analysis. For example, in the vibration analysis of a wind turbine, high-density grids are used at the root and connection of the blade, while low-density grids are used at the middle and end of the blade.

[0088] In this embodiment, the remaining area refers to the area that is not defined as a potential fatigue point in the simulation area. These areas usually use a lower mesh density to reduce the computational cost. For example, in the vibration analysis of a mechanical equipment, the housing and the parts that are not easily subjected to stress can be regarded as the remaining area.

[0089] In this embodiment, coupling simulation refers to the process of comprehensively analyzing the vibration analysis results in combination with the simulation boundary and the simulation area. Through coupling simulation, the interaction of multiple physical fields can be considered at the same time to obtain a more comprehensive system performance evaluation. For example, in the vibration analysis of an electric motor, coupling simulation can simultaneously consider the mechanical vibration, temperature change and electromagnetic characteristics of the motor to evaluate its overall performance. The simulation results are analysis data and performance evaluations obtained through coupling simulation, which are used to identify potential fatigue points, failure risks and optimize designs. For example, in vibration analysis, the results may show the vibration amplitude, temperature distribution and potential fault locations of the motor under a specific load.

[0090] The working principle and beneficial effects of the above technical solution are: by defining the coupling relationship between various physical fields, combining the micro and macro sensor networks to determine the simulation boundary, setting different grid densities according to potential fatigue points and vibration propagation paths to optimize the simulation area and achieve accurate coupling simulation, thereby analyzing the impact of vibration on the circuit, improving the accuracy and efficiency of the simulation, accurately identifying potential fault points, reducing the risk of failure caused by vibration, and ensuring the stable operation of equipment in complex environments.

[0091] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention, rather than to limit it. Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that they can still modify the technical solutions described in the aforementioned embodiments, or make equivalent replacements for some of the technical features therein. However, these modifications or replacements do not deviate the essence of the corresponding technical solutions from the spirit and scope of the technical solutions of the embodiments of the present invention.

Claims

1. An abnormal vibration analysis system for a drive circuit, characterized in that: include: Sensor network module: obtain the circuit structure of the driving circuit, perform structural analysis on the circuit structure, and create a micro sensor network and a macro sensor network according to the structural analysis results; Vibration analysis module: collects micro data and macro data based on the micro sensor network and the macro sensor network, performs vibration analysis on the micro data and the macro data, and obtains vibration analysis results; Mode module: Combines coupling simulation technology to perform multi-physics field coupling on the vibration analysis results, determines the overall impact of vibration on the drive circuit, and then determines the overall vibration mode of the drive circuit.

2. The abnormal vibration analysis system for a drive circuit according to claim 1, characterized in that: Sensor network module, including: A connection relationship unit: obtaining a circuit diagram of a driving circuit, performing structural analysis on the circuit structure in the circuit diagram, obtaining circuit modules and structural analysis results, and determining the connection relationship between each circuit module and other circuit modules based on the flow of signal flows; Boundary unit: obtaining actual working conditions of the driving circuit, and determining a first boundary condition of the driving circuit and a second boundary condition of the circuit module according to the actual working conditions and the connection relationship; Micro unit: Analyze the performance of the driving circuit and build a micro sensor network based on the performance analysis results and the first boundary condition; Macro unit: Determine the application requirements and application scale of the driving circuit based on the structural analysis results, and build a macro sensor network based on the second boundary condition.

3. The abnormal vibration analysis system for a drive circuit according to claim 1, characterized in that: Vibration analysis module, including: Microscopic analysis unit: determines the potential fatigue point of each circuit module based on the microscopic data, extracts the microscopic vibration signal from the microscopic data, performs microscopic vibration analysis on the microscopic vibration signal to determine the microscopic vibration mode, and then determines the module vibration threshold; Macro analysis unit: determine the vibration response of the driving circuit according to the macro data, track the vibration path of the vibration response, determine the macro vibration mode, and then determine the circuit vibration threshold; Comprehensive unit: Comprehensively obtain the vibration analysis result by combining the module vibration threshold and the circuit vibration threshold.

4. The abnormal vibration analysis system for a drive circuit according to claim 3, characterized in that: Microanalysis unit, including: Fatigue point block: Identify the key components of each circuit module based on microscopic data, determine the local stress and strain corresponding to each key component, and determine the potential fatigue point of each circuit module based on the local stress and strain; Module threshold block: extracts micro-vibration signals from micro-data and decomposes them. According to the decomposition results, the micro-vibration characteristics in different frequency ranges corresponding to each circuit module are determined. Then, the micro-vibration mode corresponding to each circuit module is matched from the mode-module-feature table, and the module vibration threshold of each micro-vibration mode is set according to the potential fatigue point corresponding to each circuit module.

5. The abnormal vibration analysis system for a drive circuit according to claim 4, characterized in that: Macro analysis unit, including: Dynamic behavior block: extracts the vibration response of the drive circuit from the macro data, performs macro vibration analysis on the vibration response, obtains the dynamic characteristics of the drive circuit, and evaluates the vibration response of the drive circuit in different modes based on the dynamic characteristics, thereby determining the dynamic behavior of the drive circuit during operation; Macro mode block: tracking the vibration path of the dynamic behavior, identifying the vibration source and the corresponding vibration propagation path, determining the vibration influence of the vibration source on the driving circuit based on the vibration propagation path, and then determining the macro vibration mode; Circuit threshold block: identifies the resonance condition of the driving circuit according to the macro vibration mode, and determines the circuit vibration threshold based on the resonance condition and the macro vibration mode.

6. The abnormal vibration analysis system for a drive circuit according to claim 5, characterized in that: Circuit threshold block, including: ,in, represents the circuit vibration threshold at time t; The weight coefficient representing the vibration amplitude; represents the vibration amplitude in the i-th direction at time t; represents the influence index associated with the i-th vibration amplitude; Represents the weight coefficient of frequency response; represents the modulus of the frequency response of the driving circuit at time t; represents the vibration amplitude at the jth frequency; represents the influence index associated with the jth frequency; represents the weight coefficient of temperature effect; represents the temperature effect function; r represents the influence index of the temperature effect; represents the damping effect function at time t; s represents the influence index of the damping effect; represents the random perturbation function; n represents the total number of directions of the received vibration amplitude; m represents the number of vibration amplitudes associated with the frequency response; j represents the index of the frequency detected by the driving circuit; i represents the index of the direction of the vibration amplitude detected by the driving circuit; ,in, Indicates the reference temperature of the drive circuit; Indicates the degree of influence of temperature change on the driving circuit; Indicates the storage temperature of the drive circuit; T indicates the current operating temperature of the drive circuit; represents the temperature disturbance at time t.

7. The abnormal vibration analysis system for a drive circuit according to claim 1, characterized in that: Mode modules, including: Coupling unit: using coupling simulation technology to simulate the interaction between various physical fields of the vibration analysis results; Mode determination unit: evaluates the influence of vibration on the performance of the driving circuit according to the coupling effect between various physical fields in the simulation results, and then obtains key performance indicators; evaluates the overall influence of vibration on the driving circuit based on the key performance indicators; establishes a detection model based on the overall influence, and then determines the overall vibration mode of the driving circuit.

8. The abnormal vibration analysis system for a drive circuit according to claim 3, characterized in that: Coupling unit, comprising: Simulation boundary block: defines the coupling relationship between various physical fields based on the vibration analysis results, and determines the simulation boundary based on the micro sensor network and the macro sensor network; Simulation area block: setting a first grid density according to the potential fatigue point and the vibration propagation path, setting a second grid density for the remaining area, and performing simulation area setting based on the first grid density and the second grid density; Simulation block: performing coupled simulation on the vibration analysis results in combination with the simulation boundary and the simulation area.

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