Abnormal positioning method and system for PWM signal output by power supply equipment

Abstract

The invention discloses an anomaly positioning method and system for PWM signals output by power supply equipment, and relates to the technical field of power distribution systems.The method comprises the steps that firstly, edge waveforms of possibly existing high-frequency oscillation characteristics are collected, analyzed and screened out to serve as abnormal edge fragment waveforms, and the abnormal edge fragment waveforms are obtained by further screening out time periods when ringing signals are generated in a concentrated mode and energy attenuation is remarkable; and then, according to the time sequence and spatial distribution of the ringing concentration area, a possible physical path causing abnormal ringing can be effectively inferred. And finally, a plurality of abnormal signal transmission paths are further screened out, and an early warning is sent to a power supply equipment management system according to the abnormal signal transmission paths, so that related elements or lines are prompted to have structural defects or reflection mismatch problems caused by ringing excitation. According to the method, accurate extraction of transient ringing characteristics is realized, fusion analysis of time domain waveform characteristics and spatial structure parameters is effectively carried out, and the accuracy of abnormal signal positioning is greatly improved, so that the stability and reliability of power supply equipment are remarkably improved.

Description

Technical Field

[0001] The present invention relates to the technical field of distribution systems, and in particular, to a method and system for abnormal positioning of PWM signals output by a power supply device. Background Art

[0002] The goal of abnormal positioning of PWM signals output by a power supply device is to ensure system stability, improve energy efficiency, and prevent hardware damage. Among them, PWM (Pulse Width Modulation) is a technology for controlling analog signals by adjusting the pulse width. Its core is to equivalently output voltages or currents of different amplitudes by changing the high-level time of the pulse.

[0003] For example, a carrier synchronization method and system based on PWM period adjustment disclosed in the publication number: CN119543295A, which relates to the technical fields of photovoltaic and energy storage, includes: adjusting the DSP interrupt logic and real-time adjusting the carrier count limit value; determining the loop bandwidth according to the carrier count limit value; using the DSP signal after adjusting the PWM period as the trigger pulse of the drive circuit and giving it to the inverter to achieve the parallel synchronization function.

[0004] For example, a device abnormal alarm signal processing system based on the integration of scheduling and control disclosed in the bulletin number: CN109450085B, includes a message receiving subsystem, a message classification processing subsystem, an identification alarm message processing subsystem, and a device abnormal alarm message subsystem connected in sequence; the message receiving subsystem includes a front-end machine and a SCADA server connected to each other, the message classification processing subsystem includes a switch, a circuit breaker, a disconnecting switch, a grounding switch, a protection device, and a telemetry device connected in sequence, the telemetry device and the historical server are respectively connected to the classifier, the identification alarm message processing subsystem includes a historical data server and a signal monitor connected to each other, and the device abnormal alarm message subsystem includes a signal query device, an alarm signal lamp, and a display screen.

[0005] However, in the process of implementing the technical solutions of the present invention in the embodiments of the present application, it is found that the above technologies have at least the following technical problems: Abnormal signals are often hidden in the overall waveform and difficult to detect, and the ringing signals have problems of dispersion, discontinuity, and non-linear bursts, which may cause abnormal phenomena to be difficult to detect by conventional monitoring means, thus delaying the abnormal identification and response time. And if the ringing abnormality exists for a long time but is not detected, it may gradually accumulate and cause component aging, signal integrity degradation, control error increase, etc. Summary of the Invention

[0006] Aiming at the deficiencies of the prior art, the present invention provides a method and system for abnormal positioning of PWM signals output by a power supply device to solve the problems described in the above background art.

[0007] To achieve the above object, the present invention is realized through the following technical solutions: An abnormal positioning method for the PWM signal output by a power supply device, including obtaining the output waveform edge segments of each PWM period after filtering, collecting and analyzing the transient waveform data of the output waveform edge segments of each PWM period to obtain the initial ringing trigger value of the output waveform of each PWM period, and screening to obtain the abnormal edge segment waveforms in each PWM period.

[0008] Extract the abnormal edge segment waveforms in each PWM period and aggregate them to obtain the ringing behavior focus area, obtain and analyze the data of the ringing behavior focus area to obtain the signal attenuation index of each PWM period, and screen according to the signal attenuation index of each PWM period to obtain the ringing concentration area of each PWM period.

[0009] Collect the corresponding signal transmission path parameters in the ringing concentration area of each PWM period and analyze them, and combine with the signal attenuation index of each PWM period to obtain the oscillation timing compliance value of each signal transmission path in the ringing concentration area of each PWM period.

[0010] Screen according to the oscillation timing compliance value of each signal transmission path in the ringing concentration area of each PWM period to obtain each abnormal signal transmission path, and give an early warning to the power supply device according to each abnormal signal transmission path.

[0011] Further, the process of obtaining the output waveform edge segments of each PWM period after filtering is as follows: Extract the transient edge and ringing components in the PWM output waveform signal through a band-pass filter, and preset each time window to extract the waveform segments within each time window as the output waveform edge segments of each period.

[0012] Further, the process of obtaining the initial ringing trigger value of the output waveform of each PWM period is as follows: Extract the transient waveform data of the output waveform edge segments of each PWM period, including the amplitude change rate of the transient waveform, the ringing frequency, and the waveform duration. Perform ratio analysis on the amplitude change rate of the transient waveform and the reference amplitude change rate of the transient waveform, the ringing frequency and the reference ringing frequency, and the waveform duration and the reference waveform duration respectively, and introduce a weight coefficient for coupling to obtain the initial ringing trigger value of the output waveform of each PWM period. The initial ringing trigger value of the output waveform of each PWM period is used to evaluate the degree of ringing phenomenon in the PWM signal of each period.

[0013] Further, abnormal edge segment waveforms in each PWM period are obtained. The specific process is as follows: extract the initial ringing trigger value of the output waveform of each PWM period, and compare it with the set initial ringing trigger threshold of the PWM output waveform. If the initial ringing trigger value of the output waveform of a certain PWM period is higher than or equal to the initial ringing trigger threshold of the PWM output waveform, then the output waveform of this PWM period is recorded as an abnormal edge segment waveform, and thus abnormal edge segment waveforms in each PWM period are obtained.

[0014] Further, the signal attenuation index of each PWM period is obtained. The specific process is as follows: extract the data in the ringing behavior focusing area, including the oscillation duration, the time interval between peak and valley pairs, the initial ringing amplitude, and the end ringing amplitude. Analyze the proportion of the deviation between the oscillation duration and the reference oscillation duration, and the deviation between the time interval between peak and valley pairs and the reference time interval between peak and valley pairs respectively. And analyze the proportion of the deviation between the deviation between the initial ringing amplitude and the end ringing amplitude and the reference relative attenuation amount of the ringing. After introducing the weight coefficient, they are coupled to obtain the signal attenuation index of each PWM period. The signal attenuation index of each PWM period is used to comprehensively quantify the rate and intensity of the attenuation of the ringing energy in the PWM period.

[0015] Further, the ringing concentration area of each PWM period is obtained according to the signal attenuation index of each PWM period. The specific process is as follows: extract the signal attenuation index of each PWM period in the ringing behavior focusing area, and compare it with the set signal attenuation index threshold in the PWM period. Count the number of PWM periods in the ringing behavior focusing area whose signal attenuation index is higher than or equal to the signal attenuation index threshold in the PWM period, which is recorded as the number of ringing preliminary concentration periods. Compare the number of ringing preliminary concentration periods with the set threshold of the number of ringing preliminary concentration periods. If the number of ringing preliminary concentration periods is higher than or equal to the threshold of the number of ringing preliminary concentration periods, then the ringing behavior focusing area is marked as the ringing concentration area.

[0016] Further, the oscillation timing compliance value of each signal transmission path in the ringing concentration area of each PWM period is obtained. The specific process is as follows: collect the parameters of each signal transmission path in the ringing concentration area of each PWM period, including the resonance frequency, the number of impedance jump positions, the ringing frequency, and the number of reflection time points within the ringing period.

[0017] The deviation between the resonant frequency and the ringing frequency, the deviation between the defined frequency-domain response quantity and the number of impedance jump positions, and the deviation between the number of reflection time points within the ringing period and the defined time-domain excitation quantity are respectively subjected to a proportion analysis. After introducing the weight coefficient and the signal attenuation exponent of each PWM period, they are coupled to obtain the oscillation timing compliance value of each signal transmission path in the ringing concentration region of each PWM period. The oscillation timing compliance value of each signal transmission path in the ringing concentration region of each PWM period is used to quantify the ringing phenomenon and the timing matching strength of each path.

[0018] Further, each abnormal signal transmission path is screened according to the oscillation timing compliance value of each signal transmission path in the ringing concentration region of each PWM period. The specific process is as follows: The parameters of each signal transmission path corresponding to the ringing concentration region of each PWM period are collected and analyzed, and the oscillation timing compliance value of each signal transmission path in the ringing concentration region of each PWM period is obtained by combining the signal attenuation exponent of each PWM period. Each abnormal signal transmission path is screened according to the oscillation timing compliance value of each signal transmission path in the ringing concentration region of each PWM period.

[0019] Further, the power supply device is warned according to each abnormal signal transmission path. The specific process is as follows: The number of each abnormal signal transmission path is counted and compared with the preset number threshold of the abnormal signal transmission path. If the number of each abnormal signal transmission path is higher than the number threshold of the abnormal signal transmission path, a warning is triggered. The controller highlights the circuit board area or component number corresponding to the path in the monitoring interface and automatically generates an alarm log.

[0020] The second aspect of the present invention also provides a system for an abnormal positioning method of a PWM signal output by a power supply device, including: a PWM edge extraction and preliminary judgment module, configured to obtain the output waveform edge segments of each PWM period after filtering, collect the transient waveform data of the output waveform edge segments of each PWM period and perform analysis to obtain the initial ringing trigger value of the output waveform of each PWM period, and screen out the abnormal edge segment waveforms in each PWM period.

[0021] A ringing behavior focusing module, configured to extract the abnormal edge segment waveforms in each PWM period and aggregate them to obtain a ringing behavior focusing region, obtain the data of the ringing behavior focusing region and perform analysis to obtain the signal attenuation exponent of each PWM period, and screen out the ringing concentration region of each PWM period according to the signal attenuation exponent of each PWM period.

[0022] A signal path analysis module, configured to collect corresponding signal transmission path parameters for each ringing concentration region of each PWM period and perform analysis, and obtain the oscillation timing compliance values of each signal transmission path in each ringing concentration region of each PWM period in combination with the signal attenuation exponent of each PWM period.

[0023] An abnormal path determination and warning module, configured to screen out each abnormal signal transmission path according to the oscillation timing compliance values of each signal transmission path in each ringing concentration region of each PWM period, and issue a warning to the power supply device according to each abnormal signal transmission path.

[0024] One or more technical solutions provided in the embodiments of the present application have at least the following technical effects or advantages: (1) For an abnormal positioning method and system for the output PWM signal of a power supply device provided by the present invention, first, the edge waveforms with possible high-frequency oscillation characteristics are collected, analyzed and screened out as abnormal edge segment waveforms. Through the aggregation analysis of the abnormal edge segment waveforms in each PWM period, the time periods with concentrated occurrence of ringing signals and significant energy attenuation are further screened out, which reflects the real structural mismatch problem in the output signal. Subsequently, according to the timing and spatial distribution of the ringing concentration region, the possible physical paths causing abnormal ringing can be effectively inferred. Finally, the system screens out several abnormal signal transmission paths according to the oscillation timing compliance values of each path, and issues a warning to the power supply device management system accordingly, indicating that there are structural defects or reflection mismatch problems causing ringing in the relevant components or lines. It not only realizes the accurate extraction of transient ringing characteristics, but also effectively combines the time-domain waveform characteristics and spatial structure parameters for analysis, greatly improving the accuracy of abnormal signal positioning, enabling the device to have stronger intelligent and automatic capabilities in operation and maintenance, structural optimization and safety control, etc., thus significantly improving the stability and reliability of the system.

[0025] (2) By obtaining the initial ringing trigger values of the output waveforms of each PWM period, and through the ratio analysis of introducing multi-dimensional parameters and the reference baseline, it helps to more finely distinguish the normal and abnormal waveform edges, so as to quickly lock the potential problem periods in a complex signal environment. In addition, this process can lay a data foundation for subsequent focused analysis, facilitating the subsequent gradual tracking of abnormal transmission paths.

[0026] (3) By obtaining the signal attenuation index corresponding to each PWM period, the present invention can effectively eliminate non-abnormal ringing periods with high frequency but rapid dissipation, focusing on signal segments that truly pose a persistent interference risk. Screening and defining the ringing concentration area through statistical methods helps to concentrate attention on paths or nodes that are more relevant to faults and sensitive to structural defects, providing a basis for subsequent signal transmission path analysis and equipment warning. It enhances the accuracy, sensitivity, and decision reliability of the power supply system in PWM abnormal signal positioning, providing important technical support for improving the stability and anti-interference ability of the power supply system. (4) Starting from the matching between structural parameters and dynamic responses, by obtaining the oscillation timing compliance values of each signal transmission path in the ringing concentration area of each PWM period, the present invention realizes path-level abnormal traceability under high-dimensional and multi-factor coupling. It can effectively screen out signal paths with highly abnormal coupling characteristics, thereby accurately locking potential structural or connectivity problems. It provides reliable data support and technical fulcrums for abnormal warning, fault isolation, and structural optimization of the power supply system, improving the intelligent level of PWM signal integrity monitoring and fault diagnosis. Brief Description of the Drawings

[0027] Figure 1 is a schematic diagram of the method of the present invention; Figure 2 is a schematic diagram of the overall logical flow of the abnormal positioning method of the PWM signal output by the power supply device of the present invention; Figure 3 is a schematic diagram of the overall logical flow of screening out each abnormal signal transmission path of the present invention; Figure 4 is a schematic diagram of the system structure of the present invention. Detailed Embodiments

[0028] Next, the technical solutions in the embodiments of the present invention will be clearly and completely described in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative efforts shall fall within the protection scope of the present invention.

[0029] In the description of the present invention, it should be understood that the terms "opening", "upper", "lower", "thickness", "top", "middle", "length", "inner", "perimeter", etc. indicating orientation or positional relationships are only for the convenience of describing the present invention and simplifying the description, rather than indicating or implying that the components or elements referred to must have a specific orientation, be constructed and operated in a specific orientation, and therefore should not be construed as limiting the present invention.

[0030] Please refer to Figure 1The embodiment of the present invention provides a technical solution: a method for locating an abnormality of a PWM signal output by a power supply device, comprising obtaining an edge segment of an output waveform of each PWM cycle after filtering, collecting and analyzing transient waveform data of an edge segment of an output waveform of each PWM cycle, obtaining a preliminary ringing trigger value of an output waveform of each PWM cycle, and screening out an abnormal edge segment waveform in each PWM cycle.

[0031] The abnormal edge segment waveforms in each PWM cycle are extracted and aggregated to obtain the ringing behavior focus area. The data of the ringing behavior focus area is obtained and analyzed to obtain the signal attenuation index of each PWM cycle. The ringing concentration area of ​​each PWM cycle is obtained by screening according to the signal attenuation index of each PWM cycle.

[0032] According to the ringing concentration area of ​​each PWM cycle, the corresponding signal transmission path parameters are collected and analyzed, and the oscillation timing compliance value of each signal transmission path in the ringing concentration area of ​​each PWM cycle is obtained in combination with the signal attenuation index of each PWM cycle.

[0033] According to the oscillation timing compliance value of each signal transmission path in the ringing concentration area of ​​each PWM cycle, each abnormal signal transmission path is screened to obtain each abnormal signal transmission path, and the power supply equipment is warned according to each abnormal signal transmission path.

[0034] like Figure 2 As shown, Figure 2 The overall logic flow diagram of the abnormal location method for the output PWM signal of the power supply equipment is as follows: First, the edge waveform of each PWM cycle is extracted by filtering, its transient characteristics are captured, and the reference value is combined to determine whether each cycle triggers ringing, and the abnormal edge is screened out. Subsequently, the abnormal waveform is aggregated and analyzed to form a focus area of ​​ringing behavior, and the signal attenuation index is calculated by the ringing persistence and attenuation characteristics to identify the periodic segment where the real ringing is concentrated. The structural parameters of the signal transmission path in this area are collected and coupled with the aforementioned signal attenuation index to construct an oscillation timing compliance value to quantify the timing consistency between the path and the ringing phenomenon. The fusion of multi-level physical parameters is introduced into the PWM abnormal location, realizing a closed-loop traceability from waveform abnormality to structural path abnormality, which is more interpretable, local positioning and structural traceability.

[0035] Specifically, the output waveform edge fragments of each PWM cycle after filtering are obtained. The specific process is: extract the transient edges and ringing components in the PWM output waveform signal through a bandpass filter, and preset each time window to extract the waveform fragments in each time window as the output waveform edge fragments of each cycle.

[0036] It should be noted that the specific process of obtaining the edge segments of the output waveforms of each PWM period after filtering is as follows: First, a band-pass filter is used to set the passband frequency range to cover the typical range where ringing frequencies may appear in the signal, such as between 100 kHz and 10 MHz, to remove the low-frequency trend terms and high-frequency noise and prominently retain the ringing behavior (i.e., high-frequency oscillations) in the signal; in the filtered signal, an edge detection algorithm is used to automatically identify the starting time points of the rising edges and falling edges in each PWM period; with each edge point as the center, a symmetric time window is extended forward and backward, generally from 200 ns to 2 μs, and the complete waveform segments are extracted within this time window to completely capture the transient changes of the waveform and the subsequent ringing decay process. Finally, all PWM periods are traversed to complete the extraction of all edge segments, forming an edge transient waveform segment data set, laying a foundation for the analysis of parameters such as the amplitude change rate, ringing frequency, and ringing duration.

[0037] Specifically, the initial ringing trigger values of the output waveforms of each PWM period are obtained through the following process: Extract the transient waveform data of the edge segments of the output waveforms of each PWM period, including the amplitude change rate, ringing frequency, and waveform duration of the transient waveform. Perform ratio analysis on the amplitude change rate of the transient waveform, the reference amplitude change rate of the transient waveform, the ringing frequency, the reference ringing frequency, and the waveform duration, the reference waveform duration respectively, and introduce a weight coefficient for coupling to obtain the initial ringing trigger values of the output waveforms of each PWM period. The initial ringing trigger values of the output waveforms of each PWM period are used to evaluate the degree of ringing phenomenon in the PWM signals of each period.

[0038] It should be noted that the amplitude change rate, ringing frequency, and waveform duration of the transient waveform are obtained by continuously comparing sampling points within a preset monitoring time period to record the change process of the voltage from the initial value to the peak value (or valley value) to obtain the amplitude change rate of the transient waveform. For example, when triggered by power supply noise or a pulse signal, the oscilloscope captures the waveform details at a preset high sampling rate (key information features such as high-frequency components and fast transients in the signal that are easily lost at a low sampling rate), and obtains the slope of the voltage change per unit time; within the same monitoring window, perform a short-time Fourier transform on the edge segment, and the main frequency peak in the obtained spectrum is the ringing frequency; detect the total time experienced from the initial deviation of the edge (such as the first time exceeding the reference threshold) to the signal returning to a stable state (falling below the threshold) within the preset monitoring time period to obtain the duration of the ringing.

[0039] It should be noted that the specific analysis conditions for the initial ringing trigger values of the output waveforms of each PWM period are as follows: ; In the formula, represents the initial ringing trigger value of the output waveform of the i-th PWM period represents the amplitude change rate of the transient waveform of the output waveform in the i-th PWM cycle, represents the set amplitude reference change rate of the transient waveform, represents the ringing frequency of the output waveform in the i-th PWM cycle, represents the reference ringing frequency, represents the waveform duration of the output waveform in the i-th PWM cycle, represents the set waveform reference duration, represents the weight coefficient corresponding to the amplitude change rate of the set transient waveform, represents the weight coefficient corresponding to the set ringing frequency, represents the weight coefficient corresponding to the set waveform duration. i represents the number of each PWM cycle, , and n represents the total number of PWM cycles.

[0040] It should be noted that in the analysis of transient waveforms, there is a close relationship of mutual restriction and feedback among the amplitude change rate, ringing frequency, and waveform duration. Specifically, when the amplitude change rate of the transient waveform increases, it means that the signal changes more violently, usually accompanied by more frequent high-frequency oscillations, which may lead to an increase in the ringing frequency. The increase in the ringing frequency will further exacerbate the oscillation effect of the signal, making the waveform duration longer. Especially when the reflection path is poor or the circuit design is unreasonable, the ringing phenomenon may persist for a long time. Therefore, the amplitude change rate of the transient waveform directly affects the ringing frequency and waveform duration, and the change in the ringing frequency will have a feedback effect on the waveform duration, resulting in more complex time-domain characteristics of the signal. By comprehensively analyzing these parameters, the dynamic characteristics of the signal can be better understood, providing a basis for optimizing circuit design and improving signal quality. The increase in the transient amplitude change rate means that the voltage jump at the PWM edge is more violent, carrying more high-frequency components. Therefore, whenever the actual change rate is significantly higher than the reference change rate, the initial ringing trigger value will increase significantly, reflecting that the edge overshoot and undershoot are more likely to excite oscillations; the greater the deviation of the ringing frequency from the reference frequency, the more the signal tends to amplify the reflected wave at the resonance point of the structure, and it also further increases the initial ringing trigger value of the output waveform to capture the most prominent high-frequency oscillation characteristics in the frequency domain; while the prolongation of the waveform duration directly indicates that the energy dissipation efficiency of the system decreases, and the ringing decays slowly within the same window. This abnormal persistence will also push up the initial ringing trigger value of the output waveform to mark the edge segments with poor attenuation.

[0041] It should be noted that the value ranges of the weight coefficients corresponding to the amplitude change rate of the transient waveform, the weight coefficient corresponding to the ringing frequency, and the weight coefficient corresponding to the waveform duration are usually set between 0 and 1. For example, through the mapping table between the amplitude change rate of the transient waveform and the weight coefficient, the amplitude change rate of the transient waveform detected in real time is input into the mapping table in the database, so as to quickly obtain the weight coefficient corresponding to the amplitude change rate of the transient waveform. At the same time, for the ringing frequency, by constructing the mapping table between the ringing frequency and the weight coefficient, the ringing frequency detected in real time is input into the mapping table in the database, so as to quickly obtain the weight coefficient corresponding to the ringing frequency; for the waveform duration, the waveform duration measured in real time can also be input into the mapping table in the database through the pre-established mapping table between the waveform duration and the weight coefficient, so as to quickly obtain the weight coefficient corresponding to the waveform duration.

[0042] Specifically, the abnormal edge segment waveforms in each PWM period are obtained by sieving. The specific process is as follows: extract the initial ringing trigger value of the output waveform of each PWM period and compare it with the set initial ringing trigger threshold of the PWM output waveform. If the initial ringing trigger value of the output waveform of a certain PWM period is higher than or equal to the initial ringing trigger threshold of the PWM output waveform, then the output waveform of this PWM period is recorded as an abnormal edge segment waveform, and thus the abnormal edge segment waveforms in each PWM period are obtained.

[0043] It should be noted that if the initial ringing trigger value of the output waveform of a certain PWM period is less than the initial ringing trigger threshold of the PWM output waveform, then there is no need to mark the abnormal edge segment waveform of the output waveform of this PWM period.

[0044] Specifically, the signal attenuation index of each PWM period is obtained. The specific process is as follows: extract the data in the ringing behavior focus area, including the oscillation duration, the peak-to-valley pair time interval, the initial ringing amplitude, and the end ringing amplitude. Analyze the ratios of the deviation amounts between the oscillation duration and the reference oscillation duration, and between the peak-to-valley pair time interval and the reference peak-to-valley pair time interval respectively, and analyze the ratio of the deviation amount between the initial ringing amplitude and the end ringing amplitude and the deviation amount between the reference ringing relative attenuation amount, and then perform coupling after introducing the weight coefficient to obtain the signal attenuation index of each PWM period. The signal attenuation index of each PWM period is used to comprehensively quantify the rate and intensity of the attenuation of the ringing energy in the PWM period.

[0045] It should be noted that the deviation amount between the initial ringing amplitude and the end ringing amplitude is called the ringing relative attenuation amount, and the ringing relative attenuation amount quantifies the dynamic dissipation degree of the oscillation energy.

[0046] It should be noted that the oscillation duration is determined by the difference between the time when the first peak (or valley) appears within the window and the time when the last peak (or valley) falls below the stable threshold; the peak-valley pair time interval is determined by successively identifying the times of adjacent positive and negative peaks (or two adjacent peaks of the same polarity) within the same window and calculating the time difference between them; the initial ringing amplitude refers to the peak height that the waveform first deviates from the steady-state baseline after the edge triggers the ringing; relatively, the terminal ringing amplitude is the height of the last peak when the oscillation decays to near the preset energy threshold.

[0047] It should be noted that for the signal attenuation exponent of each PWM cycle, the specific analysis conditions are as follows: ; In the formula, represents the signal attenuation exponent of the i-th PWM cycle represents the oscillation duration of the i-th PWM cycle, represents the set reference oscillation duration, represents the peak-valley pair time interval of the i-th PWM cycle, represents the set reference peak-valley pair time interval, represents the initial ringing amplitude of the i-th PWM cycle, represents the terminal ringing amplitude of the i-th PWM cycle, represents the set reference relative ringing attenuation, represents the weight coefficient corresponding to the set oscillation duration, represents the weight coefficient corresponding to the set peak-valley pair time interval, represents the weight coefficient corresponding to the set relative ringing attenuation, i represents the number of each cycle, , and n represents the total number of cycles.

[0048] It should be noted that by performing a difference operation between the actually measured relative ringing attenuation and the set defined relative ringing attenuation, it aims to evaluate the deviation degree between the attenuation characteristics of the current signal and the expected standard, which helps to quantify the abnormal degree of the ringing behavior, and further helps to identify the possible problematic signal transmission paths in the subsequent ringing anomaly location analysis.

[0049] It should be noted that in the waveform analysis of the ringing behavior focus area, there is an obvious dynamic coupling relationship and an internal mechanism of mutual feedback among several parameters such as the oscillation duration, the time interval between peak and valley pairs, the initial ringing amplitude, and the terminal ringing amplitude. Specifically, the larger the initial ringing amplitude, the stronger the energy at signal excitation, and the more intense the transient disturbance brought into the system, which usually leads to an extension of the oscillation duration. At the same time, a higher initial amplitude also affects the time interval between peak and valley pairs, that is, the time period between adjacent positive and negative peaks may tend to contract due to high-energy excitation, resulting in more dense peak and valley alternations and forming high-density high-frequency oscillation characteristics. On the other hand, if the terminal amplitude decays slowly, that is, the terminal ringing amplitude is high, it also indicates that the energy dissipation efficiency of the system is low, further lengthening the oscillation duration, indicating problems such as insufficient damping or coupled resonance in the ringing decay path. The change in the time interval between peak and valley pairs is also feedback-controlled by the rhythm of the entire decay process: if the oscillation decays quickly, the interval between peak and valley pairs will gradually extend until it disappears; if the decay is slow, the frequency of the peak and valley pairs will be maintained for a longer time. Therefore, by comprehensively analyzing the magnitude relationship and the temporal evolution characteristics among these parameters, the energy flow path of the ringing behavior can be effectively restored, providing key support for identifying the excitation source, judging the system impedance matching state, and evaluating the severity of ringing. The larger the difference between the actual oscillation duration and the reference value, the longer the ringing lasts, the slower the energy dissipation, and the higher the decay index; similarly, the larger the difference between the time interval between peak and valley pairs and the reference interval, the more severe the variation in the oscillation rhythm, and the decay index also increases; and the larger the deviation between the initial ringing amplitude and the terminal ringing amplitude and the reference decay amount, the more energy injection and residue of the ringing, and the index will also increase accordingly.

[0050] It should be noted that the value ranges of the weight coefficients corresponding to the oscillation duration, the weight coefficients corresponding to the time interval between peak and valley pairs, and the weight coefficients corresponding to the relative ringing decay amount are usually set between 0 and 1. For example, through the mapping table between the oscillation duration and the weight coefficient, the detected oscillation duration in real time is input into the mapping table in the database to quickly obtain the weight coefficient corresponding to the oscillation duration. At the same time, for the time interval between peak and valley pairs, by constructing a mapping table between the time interval between peak and valley pairs and the weight coefficient, the detected time interval between peak and valley pairs in real time is input into the mapping table in the database to quickly obtain the weight coefficient corresponding to the time interval between peak and valley pairs; for the relative ringing decay amount, a mapping table between the relative ringing decay amount and the weight coefficient can also be established in advance, and the measured relative ringing decay amount in real time is input into the mapping table in the database to quickly obtain the weight coefficient corresponding to the relative ringing decay amount.

[0051] It should be noted that the specific process of extracting the abnormal edge waveforms in the PWM period and focusing on the ringing behavior is as follows: First, use the afterglow display and color grading functions of the oscilloscope to quickly lock the high-incidence abnormal areas, such as capturing the segments with duty cycle jumps or trailing edges of waveform rising edges. Then, extract parameters such as pulse width and duty cycle in each period through tracking demodulation technology, and screen out the abnormal waveform segments with edge jitter amplitude exceeding the set threshold. Finally, use the clustering algorithm to classify the waveforms with similar oscillation frequencies and attenuation characteristics, and generate a ringing heat map in a three-dimensional coordinate system (time - frequency - amplitude) to obtain the ringing behavior focusing area.

[0052] Specifically, the ringing concentration areas of each PWM period are screened according to the signal attenuation index of each PWM period. The specific process is as follows: Extract the signal attenuation index of each PWM period in the ringing behavior focusing area, and compare it with the set signal attenuation index threshold of the PWM period. Count the number of PWM periods in the ringing behavior focusing area where the signal attenuation index is higher than or equal to the signal attenuation index threshold of the PWM period, which is recorded as the number of pre-ringing concentration periods. Compare the number of pre-ringing concentration periods with the set threshold of the number of pre-ringing concentration periods. If the number of pre-ringing concentration periods is higher than or equal to the threshold of the number of pre-ringing concentration periods, then mark the ringing behavior focusing area as the ringing concentration area.

[0053] It should be noted that if the number of PWM periods in the ringing behavior focusing area where the signal attenuation index is lower than the signal attenuation index threshold of the PWM period, it will not be included in the statistics of the number of pre-ringing concentration periods, nor will it be included in the subsequent judgment of the ringing concentration area. If the number of pre-ringing concentration periods is lower than the threshold of the number of pre-ringing concentration periods, then there is no need to mark the ringing behavior focusing area as the ringing concentration area.

[0054] It should be noted that the number of pre-ringing concentration periods represents the number of statistical periods. When the number of pre-ringing concentration periods reaches the set threshold of the number of ringing concentration periods, the entire ringing behavior focusing area is marked as the ringing concentration area, which is used to more deeply collect the signal transmission path parameters in this area and perform physical positioning in the subsequent process.

[0055] Specifically, the oscillation timing compliance values of each signal transmission path in the ringing concentration area of each PWM period are obtained. The specific process is as follows: Collect the signal transmission path parameters in the ringing concentration area of each PWM period, including resonant frequency, the number of impedance jump positions, ringing frequency, and the number of reflection time points within the ringing period.

[0056] It should be noted that a swept-frequency signal is input through a signal generator, and the oscilloscope is used to observe the point with the maximum amplitude of the circuit output. For example, when the RLC (Resistor-Inductor-Capacitor Circuit) series resonance occurs, the peak value of the current or the phase difference is zero (the voltage and current are in the same phase), and the corresponding frequency at this time is the resonance frequency. By analyzing the number and interval time of the reflection peaks in the TDR (Time Domain Reflectometry) waveform, the number of jump positions can be counted; the oscilloscope is used to directly capture the ringing waveform, and the time interval between adjacent wave peaks is measured to obtain the ringing frequency.

[0057] The deviation between the resonance frequency and the ringing frequency and the deviation between the defined frequency-domain response quantity, the number of impedance jump positions and the number of reflection time points within the ringing period and the defined time-domain excitation quantity are respectively analyzed for their proportions. After introducing the weight coefficient and the signal attenuation index of each PWM period, they are coupled to obtain the oscillation timing compliance value of each signal transmission path in the ringing concentration region of each PWM period. The oscillation timing compliance value of each signal transmission path in the ringing concentration region of each PWM period is used to quantify the ringing phenomenon and the timing matching strength of each path.

[0058] It should be noted that the oscillation timing compliance value of each signal transmission path in the ringing concentration region of each PWM period is used to quantify the timing synchronization deviation and the ringing energy concentration degree caused by impedance mismatch and energy attenuation in multi-path signal transmission, which can help identify the signal transmission paths that exhibit abnormal ringing behavior during a specific PWM period, thereby providing a basis for the abnormal positioning of the power supply equipment.

[0059] It should be noted that the specific analysis conditions for the oscillation timing compliance value of each signal transmission path in the ringing concentration region of each PWM period are as follows: ; In the formula, represents the oscillation timing compliance value of the j-th signal transmission path in the ringing concentration region of the i-th PWM period represents the resonance frequency of the j-th signal transmission path in the ringing concentration region of the i-th PWM period, represents the ringing frequency of the j-th signal transmission path in the ringing concentration region of the i-th PWM period, represents the set defined frequency-domain response quantity, represents the number of impedance jump positions of the j-th signal transmission path in the ringing concentration region of the i-th PWM period, represents the number of reflection time points of the j-th signal transmission path in the ringing concentration region of the i-th PWM period, represents the set defined time-domain excitation quantity, represents the signal attenuation exponent of the i-th PWM period, represents the weight coefficient corresponding to the set frequency-domain response quantity, represents the weight coefficient corresponding to the set time-domain excitation quantity, represents the weight coefficient corresponding to the signal attenuation exponent of the set PWM period, where i represents the number of each period, , n represents the total number of periods, j represents the number of each signal transmission path, , and m represents the total number of signal transmission paths.

[0060] It should be noted that the deviation between the resonant frequency and the ringing frequency reflects the difference in the frequency-domain response of the signal path, which is called the time-domain excitation quantity. It reflects the matching degree between the inherent characteristics of the system and the reflected oscillation, and measures the difference between the number of impedance jump positions in the path and the number of reflection time points within the ringing period; the deviation between the number of impedance jump positions and the number of reflection time points within the ringing period reflects the difference in the time-domain excitation characteristics, which is called the frequency-domain response quantity. The frequency-domain response quantity reflects the closeness between the resonant frequency of the signal path and the actually observed ringing frequency. They perform a difference operation with the set defined frequency-domain response quantity and defined time-domain excitation quantity, aiming to measure the difference degree between the characteristics of the signal transmission path in the frequency domain and the time domain and the expected standard, so as to help identify the key paths that may cause abnormal ringing. By performing a difference operation between them and the preset defined values, the compliance degree of the oscillation timing of each signal transmission path within a specific PWM period can be comprehensively evaluated.

[0061] It should be noted that the defined frequency-domain response quantity and the defined time-domain excitation quantity are respectively used to quantify the response characteristics of the signal in the frequency domain and the time domain. The defined frequency-domain response quantity represents the frequency response characteristics of the system under the reference state, and the defined time-domain excitation quantity represents the time-domain excitation characteristics of the system under the ideal or reference state, such as the number of impedance change positions, etc.; the defined frequency-domain response quantity and the defined time-domain excitation quantity establish a dynamic theoretical safety boundary, and by quantifying the deviation degree between the actual parameters and the preset defined frequency-domain response quantity and defined time-domain excitation quantity, the high-frequency energy coupling abnormality and reflection superposition risk in the signal transmission path are comprehensively evaluated.

[0062] It should be noted that in the abnormal ringing positioning analysis, there is a close correlation of cross - restriction and feedback coupling among the resonance frequency and the ringing frequency, the number of impedance jump positions and the number of reflection time points within the ringing period, and the weight coefficient and the signal attenuation exponent of each PWM period. Specifically, when the resonance frequency of the signal path is close to the actually observed ringing frequency, it indicates that the structure itself is prone to excite resonance response in this frequency band, significantly increasing the possibility of this path being the ringing source. When these structural factors highly match the actual ringing waveform, combined with the change trend of the signal attenuation exponent in each PWM period, the degree of propagation and attenuation of the ringing on these paths can be further judged. In order to synthesize these influencing factors, it helps to construct a more discriminative oscillation timing compliance value index, thereby accurately identifying the key signal paths that cause ringing excitation and improving the accuracy and pertinence of abnormal positioning.

[0063] It should be noted that the value ranges of the weight coefficient corresponding to the frequency - domain response quantity, the weight coefficient corresponding to the time - domain excitation quantity, and the weight coefficient corresponding to the signal attenuation exponent of the PWM period are usually set between 0 and 1. For example, through the mapping table between the frequency - domain response quantity and the weight coefficient, the real - time detected frequency - domain response quantity is input into the mapping table in the database, so as to quickly obtain the weight coefficient corresponding to the frequency - domain response quantity. At the same time, for the time - domain excitation quantity, by constructing the mapping table between the time - domain excitation quantity and the weight coefficient and inputting the real - time detected time - domain excitation quantity into the mapping table in the database, the weight coefficient corresponding to the time - domain excitation quantity can be quickly obtained; for the signal attenuation exponent of the PWM period, the real - time measured signal attenuation exponent of the PWM period can also be input into the mapping table in the database through the pre - established mapping table between the signal attenuation exponent of the PWM period and the weight coefficient, so as to quickly obtain the weight coefficient corresponding to the signal attenuation exponent of the PWM period.

[0064] Specifically, each abnormal signal transmission path is screened according to the oscillation timing compliance value of each signal transmission path in the ringing concentration area of each PWM period. The specific process is as follows: collect and analyze the corresponding parameters of each signal transmission path in the ringing concentration area of each PWM period, combine the signal attenuation exponent of each PWM period to obtain the oscillation timing compliance value of each signal transmission path in the ringing concentration area of each PWM period, and screen each abnormal signal transmission path according to the oscillation timing compliance value of each signal transmission path in the ringing concentration area of each PWM period.

[0065] It should be noted that the specific process of screening out each abnormal signal transmission path according to the oscillation timing compliance values of each signal transmission path in the ringing concentration area of each PWM period is as follows: Compare the oscillation timing compliance values of each signal transmission path in the ringing concentration area of each PWM period with the set oscillation timing compliance threshold of the signal transmission path, and count the number of PWM periods in the ringing concentration area of each PWM period where the oscillation timing compliance value of each signal transmission path is higher than or equal to the oscillation timing compliance threshold of the signal transmission path, which is recorded as the number of abnormal signal PWM periods. If the number of PWM periods in the ringing concentration area of each PWM period where the oscillation timing compliance value of each signal transmission path is lower than the oscillation timing compliance threshold of the signal transmission path, no marking is required. Compare the number of abnormal signal PWM periods with the preset threshold of the number of abnormal signal PWM periods. If the number of abnormal signal PWM periods is higher than or equal to the threshold of the number of abnormal signal PWM periods, it means that this path is highly consistent with the ringing behavior in terms of frequency domain characteristics and time domain reflection timing, so it is screened out as each abnormal signal transmission path; otherwise, if the number of abnormal signal PWM periods is lower than the threshold of the number of abnormal signal PWM periods, it is considered that this path does not significantly participate in ringing excitation and is excluded.

[0066] As Figure 3 shown, Figure 3 is a schematic diagram of the overall logical process for screening out each abnormal signal transmission path. First, collect relevant signal transmission path parameters from the ringing concentration area of each PWM period. Then, perform a ratio analysis on these parameters and the corresponding reference values to obtain the oscillation timing compliance value of each signal transmission path. Then identify the abnormal paths to achieve precise positioning of the ringing abnormality in the PWM output signal, which can more effectively screen out abnormal paths from complex signals, improve the operation safety and fault prediction ability of the power supply equipment, and give early warning of potential fault risks.

[0067] Specifically, warning the power supply equipment according to each abnormal signal transmission path, the specific process is as follows: Count the number of each abnormal signal transmission path and compare it with the preset threshold of the number of abnormal signal transmission paths. If the number of each abnormal signal transmission path is higher than the threshold of the number of abnormal signal transmission paths, trigger a warning, and the controller highlights the circuit board area or component number corresponding to this path in the monitoring interface and automatically generates an alarm log.

[0068] As Figure 4As shown in the figure, the second aspect of the present invention further provides a system for an abnormal positioning method of a PWM signal output by a power supply device, including: a PWM edge extraction and preliminary judgment module, configured to obtain the output waveform edge segments of each PWM period after filtering, collect the transient waveform data of the output waveform edge segments of each PWM period and perform analysis to obtain the initial ringing trigger value of the output waveform of each PWM period, and screen to obtain the abnormal edge segment waveforms in each PWM period.

[0069] A ringing behavior focusing module, configured to extract the abnormal edge segment waveforms in each PWM period and aggregate them to obtain a ringing behavior focusing area, collect the data of the ringing behavior focusing area and perform analysis to obtain the signal attenuation index of each PWM period, and screen according to the signal attenuation index of each PWM period to obtain the ringing concentration area of each PWM period.

[0070] A signal path analysis module, configured to collect the corresponding signal transmission path parameters of each ringing concentration area of each PWM period and perform analysis, and combine the signal attenuation index of each PWM period to obtain the oscillation timing compliance value of each signal transmission path in the ringing concentration area of each PWM period.

[0071] An abnormal path determination and warning module, configured to screen each abnormal signal transmission path according to the oscillation timing compliance value of each signal transmission path in the ringing concentration area of each PWM period, and give a warning to the power supply device according to each abnormal signal transmission path.

[0072] Those skilled in the art should understand that the embodiments of the present invention can be provided as a method, a system, or a computer program product. Therefore, the present invention can be in the form of a completely hardware embodiment, a completely software embodiment, or an embodiment combining software and hardware aspects. Moreover, the present invention can be in 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.

[0073] The present invention is described with reference to the flowcharts and / or block diagrams of methods, devices (systems), and computer program products according to the embodiments of the present invention. It should be understood that each process and / or block in the flowchart and / or block diagram can be realized by computer program instructions, and the combination of the processes and / or blocks in the flowchart and / or block diagram can also be realized by computer program instructions. These computer program instructions can be provided to the processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing devices to generate a machine, so that the instructions executed by the processor of the computer or other programmable data processing devices generate a device for realizing the functions specified in Figure 1 one process or multiple processes and / or blocks Figure 1 one block or multiple blocks.

[0074] These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to operate in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including an instruction means that implements the functions specified in one or more processes and / or blocks Figure 1 of the one or more processes and / or boxes Figure 1 specified in the box or boxes.

[0075] These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer-implemented process, whereby the instructions executed on the computer or other programmable apparatus provide steps for implementing the functions specified in one or more processes and / or blocks Figure 1 of the one or more processes and / or boxes Figure 1 specified in the box or boxes.

[0076] Although the preferred embodiments of the present invention have been described, additional changes and modifications can be made by those skilled in the art once they learn of the basic inventive concept. Therefore, the appended claims are intended to be construed to include the preferred embodiments as well as all changes and modifications falling within the scope of the present invention.

[0077] Obviously, those skilled in the art can make various changes and modifications to the present invention without departing from the spirit and scope of the present invention. Thus, if these modifications and variations of the present invention fall within the scope of the claims of the present invention and their equivalent technologies, the present invention is also intended to include these modifications and variations.

Claims

1. An abnormal positioning method for the PWM signal output by a power supply device, characterized in that Including: Obtain the edge segments of the output waveforms of each PWM period after filtering, collect the transient waveform data of the edge segments of the output waveforms of each PWM period and analyze them to obtain the initial ringing trigger values of the output waveforms of each PWM period, and screen to obtain the abnormal edge segment waveforms in each PWM period; Extract the abnormal edge segment waveforms in each PWM period and aggregate them to obtain the ringing behavior focus area, obtain the data of the ringing behavior focus area and analyze them to obtain the signal attenuation index of each PWM period, and screen according to the signal attenuation index of each PWM period to obtain the ringing concentration area of each PWM period; Collect the corresponding signal transmission path parameters of each ringing concentration area of each PWM period and analyze them, and combine the signal attenuation index of each PWM period to obtain the oscillation timing compliance value of each signal transmission path in the ringing concentration area of each PWM period; Screen to obtain each abnormal signal transmission path according to the oscillation timing compliance value of each signal transmission path in the ringing concentration area of each PWM period, and give an early warning to the power supply equipment according to each abnormal signal transmission path.

2. The abnormal positioning method of the PWM signal output by the power supply device according to claim 1, characterized in that: The specific process of obtaining the edge segments of the output waveforms of each PWM period after filtering is as follows: Extract the transient edges and ringing components in the PWM output waveform signal through a band-pass filter, preset each time window, and extract the waveform segments within each time window as the edge segments of the output waveforms of each period.

3. The abnormal positioning method of the PWM signal output by a power supply device according to claim 1, characterized in that: The specific process of obtaining the initial ringing trigger value of the output waveform of each PWM period is as follows: Extract the transient waveform data of the edge segments of the output waveforms of each PWM period, including the amplitude change rate, ringing frequency, and waveform duration of the transient waveform, respectively perform ratio analysis on the amplitude change rate of the transient waveform and the reference amplitude change rate of the transient waveform, the ringing frequency and the reference ringing frequency, and the waveform duration and the reference waveform duration, and introduce a weight coefficient and then perform coupling to obtain the initial ringing trigger value of the output waveform of each PWM period. The initial ringing trigger value of the output waveform of each PWM period is used to evaluate the degree of whether there is a ringing phenomenon in the PWM signal of each period.

4. The abnormal positioning method of the PWM signal output by a power supply device according to claim 2, wherein: The specific process of screening to obtain the abnormal edge segment waveforms in each PWM period is as follows: Extract the initial ringing trigger value of the output waveform of each PWM period and compare it with the set initial ringing trigger threshold of the PWM output waveform. If the initial ringing trigger value of the output waveform of a certain PWM period is higher than or equal to the initial ringing trigger threshold of the PWM output waveform, then record the output waveform of this PWM period as an abnormal edge segment waveform, and thus obtain the abnormal edge segment waveforms in each PWM period.

5. The abnormal positioning method of the PWM signal output by a power supply device according to claim 1, characterized in that: The specific process of obtaining the signal attenuation index of each PWM period is as follows: Extract data of the ringing behavior focusing area, including oscillation duration, peak-to-valley pair time interval, initial ringing amplitude, and terminal ringing amplitude. Perform ratio analysis on the deviation amounts between the oscillation duration and the reference oscillation duration, and between the peak-to-valley pair time interval and the reference peak-to-valley pair time interval respectively. Also, perform ratio analysis on the deviation amount between the deviation amount of the initial ringing amplitude and the terminal ringing amplitude and the relative attenuation amount of the reference ringing. After introducing the weight coefficient, perform coupling to obtain the signal attenuation index of each PWM cycle. The signal attenuation index of each PWM cycle is used to comprehensively quantify the attenuation rate and intensity of the ringing energy in the PWM cycle.

6. The abnormal positioning method of the PWM signal output by the power supply device according to claim 4, characterized in that: The process of screening the ringing concentration area of each PWM cycle according to the signal attenuation index of each PWM cycle is as follows: Extract the signal attenuation index of each PWM cycle in the ringing behavior focusing area, and compare it with the signal attenuation index threshold in the set PWM cycle. Count the number of PWM cycles in the ringing behavior focusing area whose signal attenuation index is higher than or equal to the signal attenuation index threshold in the PWM cycle, which is recorded as the number of preliminary ringing concentration cycles. Compare the number of preliminary ringing concentration cycles with the set threshold of the number of preliminary ringing concentration cycles. If the number of preliminary ringing concentration cycles is higher than or equal to the threshold of the number of preliminary ringing concentration cycles, then mark the ringing behavior focusing area as the ringing concentration area.

7. The abnormal positioning method of the PWM signal output by a power supply device according to claim 4, wherein: The process of obtaining the oscillation timing compliance value of each signal transmission path in the ringing concentration area of each PWM cycle is as follows: Collect the parameters of each signal transmission path in the ringing concentration area of each PWM cycle, including resonance frequency, the number of impedance jump positions, ringing frequency, and the number of reflection time points within the ringing cycle. Perform ratio analysis on the deviation amount between the resonance frequency and the ringing frequency and the defined frequency domain response amount, and between the deviation amount of the number of impedance jump positions and the number of reflection time points within the ringing cycle and the defined time domain excitation amount respectively. After introducing the weight coefficient and the signal attenuation index of each PWM cycle, perform coupling to obtain the oscillation timing compliance value of each signal transmission path in the ringing concentration area of each PWM cycle. The oscillation timing compliance value of each signal transmission path in the ringing concentration area of each PWM cycle is used to quantify the coincidence intensity of each path with the ringing phenomenon and timing.

8. The abnormal positioning method of the PWM signal output by a power supply device according to claim 1, wherein: The process of screening each abnormal signal transmission path according to the oscillation timing compliance value of each signal transmission path in the ringing concentration area of each PWM cycle is as follows: Collect and analyze the corresponding parameters of each signal transmission path according to the ringing concentration area of each PWM cycle, and combine with the signal attenuation index of each PWM cycle to obtain the oscillation timing compliance value of each signal transmission path in the ringing concentration area of each PWM cycle. Screen each abnormal signal transmission path according to the oscillation timing compliance value of each signal transmission path in the ringing concentration area of each PWM cycle.

9. The abnormal positioning method of the PWM signal output by a power supply device according to claim 1, characterized in that: The process of warning the power supply equipment according to each abnormal signal transmission path is as follows: Count the number of abnormal signal transmission paths and compare it with the preset threshold of the number of abnormal signal transmission paths. If the number of abnormal signal transmission paths is higher than the threshold, trigger an alarm. The controller highlights the circuit board area or component number corresponding to this path in the monitoring interface and automatically generates an alarm log.

10. A system for abnormally locating a PWM signal output by a power supply device according to any one of claims 1-9, characterized in that, Including: A PWM edge extraction and preliminary judgment module, which is used to obtain the output waveform edge segments of each PWM cycle after filtering, collect the transient waveform data of the output waveform edge segments of each PWM cycle and perform analysis to obtain the initial ringing trigger value of the output waveform of each PWM cycle, and screen out the abnormal edge segment waveforms in each PWM cycle; A ringing behavior focusing module, which is used to extract the abnormal edge segment waveforms in each PWM cycle and aggregate them to obtain a ringing behavior focusing area, obtain the data of the ringing behavior focusing area and perform analysis to obtain the signal attenuation index of each PWM cycle, and screen out the ringing concentration areas of each PWM cycle according to the signal attenuation index of each PWM cycle; A signal path analysis module, which is used to collect the corresponding signal transmission path parameters of each ringing concentration area of each PWM cycle and perform analysis, and combine the signal attenuation index of each PWM cycle to obtain the oscillation timing compliance value of each signal transmission path in the ringing concentration area of each PWM cycle; An abnormal path determination and warning module, which is used to screen out each abnormal signal transmission path according to the oscillation timing compliance value of each signal transmission path in the ringing concentration area of each PWM cycle, and give a warning to the power supply equipment according to each abnormal signal transmission path.

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