A method and system for locating abnormality of PWM signal output by power supply equipment

Abstract

The present invention discloses a method and system for locating anomalies of PWM signals output by power supply equipment, which relates to the technical field of power distribution systems. First, the edge waveforms of possible high-frequency oscillation characteristics are collected and analyzed to be screened out as abnormal edge segment waveforms. The time periods in which ringing signals occur in a concentrated manner and the energy attenuation is significant are further screened out. Subsequently, the possible physical paths that cause abnormal ringing can be effectively inferred based on the timing and spatial distribution of the ringing concentrated areas. Finally, several abnormal signal transmission paths are further screened out, and an early warning is issued to the power supply equipment management system based on this, indicating that the relevant components or lines have structural defects or reflection mismatch problems that are caused by ringing excitation. This method not only realizes the precise extraction of transient ringing characteristics, but also effectively integrates the time domain waveform characteristics with the spatial structure parameters for analysis, greatly improving the accuracy of abnormal signal positioning, thereby significantly improving the stability and reliability of the power supply equipment.

Description

Technical Field

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

[0002] The goal of locating abnormal PWM signal outputs from power supply equipment is to ensure system stability, improve energy efficiency, and prevent hardware damage. PWM (Pulse Width Modulation) is a technique for controlling analog signals by adjusting pulse width. Its core principle is to achieve the equivalent output of voltage or current of varying amplitudes by varying the duration of the pulse's high level.

[0003] For example, the publication number CN119543295A discloses a carrier synchronization method and system based on PWM cycle adjustment, which relates to the fields of photovoltaic and energy storage technology. The method and system include: adjusting the DSP interrupt logic to adjust the carrier count limit in real time; determining the loop width according to the carrier count limit; and giving the DSP signal after adjusting the PWM cycle as a trigger pulse of the drive circuit to the inverter to realize the parallel synchronization function.

[0004] For example, the announcement number is: CN109450085B, which announces an equipment abnormality alarm signal processing system based on scheduling and control integration, including a message receiving subsystem, a message classification processing subsystem, an identification alarm message processing subsystem and an equipment abnormality alarm message subsystem connected in sequence; the message receiving subsystem includes a front-end machine and a SCADA server connected in sequence, the message classification processing subsystem includes switches, circuit breakers, knife switches, grounding switches, protection devices, and telesignaling devices connected in sequence, the telesignaling device and the history server are respectively connected to the classifier, the identification alarm message processing subsystem includes a connected historical data server and a signal monitor, and the equipment abnormality alarm message subsystem includes a signal query device, an alarm signal light and a display screen.

[0005] However, in the process of implementing the technical solutions of the invention in the embodiments of the present application, the present application found that the above technology has at least the following technical problems:

[0006] Abnormal signals are often hidden in the overall waveform and difficult to detect, and the ringing signal has dispersion, discontinuity and nonlinear sudden problems, which may make the abnormal phenomenon difficult to detect under conventional monitoring means, thereby delaying the abnormal identification and response time. Moreover, if the ringing anomaly exists for a long time but is not detected, it may gradually accumulate and cause component aging, signal integrity degradation, and increased control errors. Summary of the Invention

[0007] In view of the deficiencies in the prior art, the present invention provides a method and system for locating anomalies in PWM signal output by a power supply device, which solves the problems in the above-mentioned background technology.

[0008] To achieve the above objectives, the present invention is implemented through the following technical solutions: a method for locating abnormalities in the PWM signal output by a power supply device, including obtaining the edge segments of the output waveform of each PWM cycle after filtering, collecting and analyzing the transient waveform data of the edge segments of the output waveform of each PWM cycle, obtaining the preliminary ringing trigger value of the output waveform of each PWM cycle, and screening to obtain the abnormal edge segment waveform in each PWM cycle.

[0009] 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 based on the signal attenuation index of each PWM cycle.

[0010] 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.

[0011] 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 an early warning is issued to the power supply equipment based on each abnormal signal transmission path.

[0012] Furthermore, the output waveform edge segments of each PWM cycle after filtering are obtained. The specific process is: the transient edges and ringing components in the PWM output waveform signal are extracted through a bandpass filter, and each time window is preset to extract the waveform segment within each time window as the output waveform edge segment of each cycle.

[0013] Furthermore, a preliminary ringing trigger value of the output waveform of each PWM cycle is obtained. The specific process is: extracting transient waveform data of the edge segment of the output waveform of each PWM cycle, including the amplitude change rate, ringing frequency and waveform duration of the transient waveform, performing a proportion analysis on the amplitude change rate of the transient waveform and the amplitude reference change rate of the transient waveform, the ringing frequency and the reference ringing frequency, and the waveform duration and the waveform reference duration, and introducing a weight coefficient and coupling to obtain the preliminary ringing trigger value of the output waveform of each PWM cycle. The preliminary ringing trigger value of the output waveform of each PWM cycle is used to evaluate whether there is a degree of ringing phenomenon in the PWM signal of each cycle.

[0014] Furthermore, the abnormal edge segment waveforms in each PWM cycle are screened and obtained. The specific process is: extracting the ringing preliminary trigger value of the output waveform of each PWM cycle, and comparing it with the set ringing preliminary trigger threshold of the PWM output waveform. If the ringing preliminary trigger value of the output waveform of a certain PWM cycle is higher than or equal to the ringing preliminary trigger threshold of the PWM output waveform, then the output waveform of the PWM cycle is recorded as an abnormal edge segment waveform, thereby obtaining the abnormal edge segment waveforms in each PWM cycle.

[0015] Furthermore, the signal attenuation index of each PWM cycle is obtained. The specific process is: extracting data from the focus area of ​​the ringing behavior, including the oscillation duration, the peak-to-valley time interval, the initial ringing amplitude, and the end ringing amplitude; performing a proportion analysis on the deviation between the oscillation duration and the oscillation reference duration, and between the peak-to-valley time interval and the peak-to-valley reference time interval; performing a proportion analysis on the deviation between the initial ringing amplitude and the end ringing amplitude and the deviation between the reference ringing relative attenuation; and introducing a weight coefficient for 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 rate and intensity of the ringing energy attenuation in the PWM cycle.

[0016] Furthermore, the ringing concentration area of ​​each PWM cycle is obtained by screening according to the signal attenuation index of each PWM cycle. The specific process is: extracting the signal attenuation index of each PWM cycle in the ringing behavior focus area, and comparing it with the set signal attenuation index threshold in the PWM cycle, counting the number of PWM cycles in the ringing behavior focus area whose signal attenuation index is higher than or equal to the signal attenuation index threshold in the PWM cycle, recording it as the number of ringing preparation concentration cycles, comparing the number of ringing preparation concentration cycles with the set ringing preparation concentration cycle number threshold, if the number of ringing preparation concentration cycles is higher than or equal to the ringing preparation concentration cycle number threshold, then marking the ringing behavior focus area as the ringing concentration area.

[0017] Furthermore, the oscillation timing compliance value of each signal transmission path in the ringing concentration area of ​​each PWM cycle is obtained. The specific process is: collecting the parameters of each signal transmission path in the ringing concentration area of ​​each PWM cycle, including the resonant frequency, the number of impedance jump positions, the ringing frequency and the number of reflection time points in the ringing cycle.

[0018] The deviation between the resonant frequency and the ringing frequency and the defined frequency domain response, the deviation between the number of impedance jump positions and the number of reflection time points within the ringing period and the defined time domain excitation are respectively analyzed in proportion, and the weight coefficient and the signal attenuation index of each PWM period are introduced and coupled to obtain the oscillation timing compliance value of each signal transmission path in the ringing concentration area of ​​each PWM period. The oscillation timing compliance value of each signal transmission path in the ringing concentration area of ​​each PWM period is used to quantify the strength of the ringing phenomenon and timing consistency of each path.

[0019] Furthermore, the abnormal signal transmission paths are obtained by screening according to the oscillation timing compliance values ​​of each signal transmission path in the ringing concentration area of ​​each PWM cycle. The specific process is: 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 values ​​of each signal transmission path in the ringing concentration area of ​​each PWM cycle are obtained in combination with the signal attenuation index of each PWM cycle. The abnormal signal transmission paths are obtained by screening according to the oscillation timing compliance values ​​of each signal transmission path in the ringing concentration area of ​​each PWM cycle.

[0020] Furthermore, an early warning is issued to the power supply equipment according to each abnormal signal transmission path. The specific process is as follows:

[0021] The number of abnormal signal transmission paths is counted and compared with the preset threshold value of the number of abnormal signal transmission paths. If the number of abnormal signal transmission paths is higher than the threshold value, an early 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.

[0022] The second aspect of the present invention also provides a system for locating an abnormality of a PWM signal output by a power supply device, including: a PWM edge extraction and preliminary judgment module, which is used to obtain the edge segments of the output waveform of each PWM cycle after filtering, collect and analyze the transient waveform data of the edge segments of the output waveform of each PWM cycle, obtain the preliminary ringing trigger value of the output waveform of each PWM cycle, and screen out the abnormal edge segment waveform in each PWM cycle.

[0023] The ringing behavior focusing module is used to extract the abnormal edge segment waveforms in each PWM cycle and aggregate them 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 screened based on the signal attenuation index of each PWM cycle.

[0024] The signal path analysis module is used to collect and analyze the corresponding signal transmission path parameters according to the ringing concentration area of ​​each PWM cycle, 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.

[0025] The abnormal path determination and early warning module 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 to issue an early warning to the power supply equipment based on each abnormal signal transmission path.

[0026] One or more technical solutions provided in the embodiments of this application have at least the following technical effects or advantages:

[0027] (1) The present invention provides a method and system for locating abnormalities in the PWM signal output by a power supply device. First, the method collects and analyzes the edge waveforms of possible high-frequency oscillation characteristics as abnormal edge segment waveforms. By aggregate analysis of the abnormal edge segment waveforms in each PWM cycle, the method further identifies the time period where the ringing signal occurs in a concentrated manner and the energy decays significantly, reflecting the real existence of a structural mismatch problem in the output signal. Subsequently, the possible physical path that causes the abnormal ringing can be effectively inferred based on the timing and spatial distribution of the ringing concentrated area. Finally, the system selects several abnormal signal transmission paths based on the oscillation timing compliance value of each path, and accordingly issues an early warning to the power supply equipment management system, indicating that the relevant components or lines have structural defects or reflection mismatch problems that are caused by ringing. It not only achieves the precise extraction of transient ringing characteristics, but also effectively integrates the time domain waveform characteristics with the spatial structure parameters for analysis, greatly improving the accuracy of abnormal signal positioning, making the equipment more intelligent and automated in terms of operation and maintenance, structural optimization and safety management, thereby significantly improving the stability and reliability of the system.

[0028] (2) The present invention obtains the initial ringing trigger value of the output waveform of each PWM cycle and introduces multi-dimensional parameters and reference baseline ratio analysis to help more finely distinguish normal and abnormal waveform edges, thereby quickly locking potential problem cycles 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.

[0029] (3) The present invention can effectively eliminate high-frequency but rapidly dissipating non-abnormal ringing cycles by obtaining the signal attenuation index corresponding to each PWM cycle, and focus on the signal segments that actually have a risk of persistent interference. By statistically screening and defining the ringing concentration area, it helps to focus on paths or nodes that are more fault-related and sensitive to structural defects, providing a basis for subsequent signal transmission path analysis and equipment early warning. It enhances the accuracy, sensitivity and decision-making reliability of the power supply system in locating PWM abnormal signals, and provides important technical support for improving the stability and anti-interference ability of the power supply system.

[0030] (4) The present invention achieves path-level anomaly tracing under high-dimensional, multi-factor coupling by obtaining the oscillation timing compliance value of each signal transmission path in the ringing concentration area of ​​each PWM cycle, starting from the matching between structural parameters and dynamic response. 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 support for abnormal warning, fault isolation and structural optimization of power supply systems, and improves the intelligent level of PWM signal integrity monitoring and fault diagnosis. BRIEF DESCRIPTION OF THE DRAWINGS

[0031] Figure 1 Schematic diagram of the method of the present invention;

[0032] Figure 2 This is a schematic diagram of the overall logic flow of the method for locating an abnormality in a PWM signal output by a power supply device according to the present invention;

[0033] Figure 3 This is a schematic diagram of the overall logic flow of the present invention for obtaining the transmission paths of various abnormal signals through screening;

[0034] Figure 4 Schematic diagram of the system structure of the present invention. DETAILED DESCRIPTION

[0035] The following will clearly and completely describe the technical solutions in the embodiments of the present invention in conjunction with the accompanying drawings. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without making creative efforts are within the scope of protection of the present invention.

[0036] In the description of the present invention, it should be understood that the terms "opening", "upper", "lower", "thickness", "top", "middle", "length", "inside", "around" and the like indicating orientation or positional relationship are only for the convenience of describing the present invention and simplifying the description, and do not indicate or imply 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 understood as limiting the present invention.

[0037] See also Figure 1 An embodiment of the present invention provides a technical solution: a method for locating abnormalities in a PWM signal output by a power supply device, comprising obtaining edge segments of the output waveform of each PWM period after filtering, collecting and analyzing transient waveform data of the edge segments of the output waveform of each PWM period, obtaining preliminary ringing trigger values ​​of the output waveform of each PWM period, and screening to obtain abnormal edge segment waveforms in each PWM period.

[0038] 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 based on the signal attenuation index of each PWM cycle.

[0039] 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.

[0040] 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 an early warning is issued to the power supply equipment based on each abnormal signal transmission path.

[0041] like Figure 2 As shown, Figure 2 This is a schematic diagram of the overall logical flow of the method for locating anomalies in the PWM signal output of power supply equipment. First, filtering is performed to extract the edge waveform of each PWM cycle, capturing its transient characteristics. This is then combined with reference values ​​to determine whether each cycle triggers ringing, thereby filtering out abnormal edges. Subsequently, the abnormal waveforms are aggregated and analyzed to form a focused region of ringing behavior. The signal attenuation index is calculated based on the ringing persistence and attenuation characteristics to identify the periodic segments where the actual ringing is concentrated. The structural parameters of the signal transmission path within this region are collected and coupled with the aforementioned signal attenuation index to construct an oscillation timing coincidence value, which is used to quantify the degree of timing alignment between the path and the ringing phenomenon. The fusion of multi-level physical parameters is introduced into PWM anomaly locating, achieving a closed-loop tracing from waveform anomalies to structural path anomalies, providing greater interpretability, localization, and structural traceability.

[0042] Specifically, the output waveform edge segments of each PWM cycle after filtering are obtained. The specific process is: the transient edges and ringing components in the PWM output waveform signal are extracted through a bandpass filter, and each time window is preset to extract the waveform segment within each time window as the output waveform edge segment of each cycle.

[0043] The specific process for obtaining edge segments of the output waveform for each filtered PWM cycle is as follows: First, a bandpass filter is used to set the passband frequency range to cover the typical range of possible ringing frequencies in the signal, for example, between 100kHz and 10MHz. This removes low-frequency trends and high-frequency noise, while retaining the ringing behavior (i.e., high-frequency oscillations) in the signal. Within the filtered signal, an edge detection algorithm is used to automatically identify the starting time points of the rising and falling edges in each PWM cycle. A symmetrical time window, typically 200ns to 2μs, is extended forward and backward around each edge point. Within this time window, the complete waveform segment is extracted, fully capturing the waveform's transient changes and the subsequent ringing decay process. Finally, all edge segments are extracted through all PWM cycles, forming a dataset of edge transient waveform segments, laying the foundation for subsequent analysis of parameters such as amplitude change rate, ringing frequency, and ringing duration.

[0044] Specifically, a preliminary ringing trigger value of the output waveform of each PWM cycle is obtained. The specific process is: extracting transient waveform data of the edge segment of the output waveform of each PWM cycle, including the amplitude change rate, ringing frequency and waveform duration of the transient waveform, performing a proportion analysis on the amplitude change rate of the transient waveform and the amplitude reference change rate of the transient waveform, the ringing frequency and the reference ringing frequency, and the waveform duration and the waveform reference duration, and introducing a weight coefficient and coupling to obtain the preliminary ringing trigger value of the output waveform of each PWM cycle. The preliminary ringing trigger value of the output waveform of each PWM cycle is used to evaluate whether there is a degree of ringing phenomenon in the PWM signal of each cycle.

[0045] It should be noted that the amplitude change rate, ringing frequency and waveform duration of the transient waveform are obtained by continuously comparing the sampling points within a preset monitoring period, recording the voltage change process from the initial value to the peak value (or valley value). For example, when triggered by power supply noise or a pulse signal, the oscilloscope captures the waveform details (key information features such as high-frequency components and fast transients in the signal that are easily lost by low sampling rates) at a preset high sampling rate to obtain the slope of the voltage change per unit time; within the same monitoring window, the edge segment is subjected to a short-time Fourier transform, and the main frequency peak in the obtained spectrum is the ringing frequency; within the preset monitoring period, the total time from the initial deviation of the edge (such as the first time exceeding the reference threshold) to the signal returning to stability (falling back below the threshold) is detected to obtain the duration of the ringing.

[0046] It should be noted that the initial ringing trigger value of the output waveform of each PWM cycle has the following specific analysis conditions:

[0047] ;

[0048] Where, Indicates the initial ringing trigger value of the output waveform of the i-th PWM cycle Indicates the amplitude change rate of the transient waveform of the output waveform of the i-th PWM cycle, Indicates the amplitude reference change rate of the set transient waveform. represents the ringing frequency of the output waveform of the i-th PWM cycle, Indicates the reference ringing frequency, represents the waveform duration of the output waveform of the i-th PWM cycle, Indicates the set waveform reference duration, Indicates the weight coefficient corresponding to the amplitude change rate of the set transient waveform, Indicates the weight coefficient corresponding to the set ringing frequency. Indicates the weight coefficient corresponding to the set waveform duration, i represents the number of each PWM cycle, , n represents the total number of PWM cycles.

[0049] It should be noted that in transient waveform analysis, there is a close relationship of mutual constraint and feedback between 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 dramatically, 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 aggravate the oscillation effect of the signal, causing the waveform duration to increase. In particular, when the reflection path is poor or the circuit design is unreasonable, the ringing phenomenon may continue for a long time. Therefore, the amplitude change rate of the transient waveform directly affects the ringing frequency and the 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, we can better understand the dynamic characteristics of the signal and provide a basis for optimizing circuit design and improving signal quality. An increase in the transient amplitude change rate means that the voltage jump at the PWM edge is more severe and carries more high-frequency components. Therefore, whenever the actual change rate is significantly higher than the reference change rate, the ringing initial trigger value will increase significantly, reflecting that edge overshoot and undershoot are more likely to excite oscillations. The greater the degree to which the ringing frequency deviates from the reference frequency, the more likely the signal is to amplify the reflected wave at the resonance point of the structure, which further increases the ringing initial trigger value of the output waveform to capture the most prominent high-frequency oscillation characteristics in the frequency domain. The extension of the waveform duration directly indicates that the system's energy dissipation efficiency is reduced, and the ringing slowly decays within the same window. This persistent anomaly will also push up the ringing initial trigger value of the output waveform to mark edge segments with poor attenuation.

[0050] It should be noted that the value ranges of the weight coefficient 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 generally set between 0 and 1. For example, through a 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, thereby quickly obtaining the weight coefficient corresponding to the amplitude change rate of the transient waveform. At the same time, for the ringing frequency, by constructing a 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, thereby quickly obtaining 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 a pre-established mapping table between the waveform duration and the weight coefficient, thereby quickly obtaining the weight coefficient corresponding to the waveform duration.

[0051] Specifically, the abnormal edge segment waveforms in each PWM cycle are screened and obtained. The specific process is: extracting the ringing preliminary trigger value of the output waveform of each PWM cycle and comparing it with the set ringing preliminary trigger threshold of the PWM output waveform. If the ringing preliminary trigger value of the output waveform of a certain PWM cycle is higher than or equal to the ringing preliminary trigger threshold of the PWM output waveform, then the output waveform of the PWM cycle is recorded as an abnormal edge segment waveform, thereby obtaining the abnormal edge segment waveforms in each PWM cycle.

[0052] It should be noted that if the ringing preliminary trigger value of the output waveform of a certain PWM cycle is less than the ringing preliminary trigger threshold of the PWM output waveform, there is no need to mark the abnormal edge segment waveform of the output waveform of the PWM cycle.

[0053] Specifically, the signal attenuation index of each PWM cycle is obtained. The specific process is: extracting data from the focus area of ​​the ringing behavior, including the oscillation duration, the peak-to-valley time interval, the initial ringing amplitude, and the end ringing amplitude; performing a proportion analysis on the deviations between the oscillation duration and the oscillation reference duration, and between the peak-to-valley time interval and the peak-to-valley reference time interval; performing a proportion analysis on the deviations between the initial ringing amplitude and the end ringing amplitude and the reference ringing relative attenuation; and introducing a weight coefficient for 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 rate and intensity of the ringing energy attenuation in the PWM cycle.

[0054] It should be noted that the deviation between the initial ringing amplitude and the final ringing amplitude is called the relative ringing attenuation, which quantifies the degree of dynamic dissipation of the oscillation energy.

[0055] It should be noted that the oscillation duration is determined by marking the difference between the time when the first peak (or valley) appears and the time when the last peak (or valley) falls below the stability threshold in the window; the peak-valley time interval is determined by identifying the adjacent positive peak and negative peak (or two adjacent peaks of the same polarity) in the same window in sequence and calculating the time difference between them; the initial ringing amplitude refers to the peak height reached when the waveform deviates from the steady-state baseline for the first time after the edge triggers the ringing; relatively speaking, the end ringing amplitude is the height of the last peak when the oscillation subsides to near the preset energy threshold.

[0056] It should be noted that the signal attenuation index of each PWM cycle is analyzed under the following specific conditions:

[0057] ;

[0058] Where, Indicates the signal attenuation index of the i-th PWM cycle represents the oscillation duration of the i-th PWM cycle, Indicates the set oscillation reference duration, represents the peak-to-valley time interval of the i-th PWM cycle, Indicates the set peak-to-valley reference time interval, represents the initial amplitude of the ringing of the i-th PWM cycle, represents the ringing end amplitude of the i-th PWM cycle, Indicates the relative attenuation of the reference ringing. Indicates the weight coefficient corresponding to the set oscillation duration, Indicates the weight coefficient corresponding to the set peak-valley time interval. Indicates the weight coefficient corresponding to the set relative ringing attenuation, i indicates the number of each cycle, , n represents the total number of cycles.

[0059] It should be noted that the difference calculation between the actual measured ringing relative attenuation and the set defined ringing relative attenuation is intended to evaluate the degree of deviation between the attenuation characteristics of the current signal and the expected standard, which helps to quantify the degree of abnormality of the ringing behavior, and then helps to identify signal transmission paths that may have problems in the subsequent ringing anomaly location analysis.

[0060] It is important to note that in the waveform analysis of the ringing behavior focus area, there is a clear dynamic coupling relationship and internal feedback mechanism between the parameters: oscillation duration, peak-to-valley interval, initial ringing amplitude, and final ringing amplitude. Specifically, a larger initial ringing amplitude often indicates a higher energy level at the time of signal excitation, resulting in a more severe transient perturbation to the system, which typically leads to a longer oscillation duration. Furthermore, a higher initial amplitude also affects the time interval between peaks and valleys. Specifically, the time period between adjacent positive and negative peaks may shrink due to the high energy excitation, leading to a more dense alternation of peaks and valleys and a high-density, high-frequency oscillation characteristic. On the other hand, if the final amplitude decays slowly, i.e., if the final ringing amplitude is high, it also indicates that the system's energy dissipation efficiency is low, further prolonging the oscillation duration and indicating problems such as insufficient damping or coupled resonance in the ringing decay path. The change in the time interval between peaks and valleys is also controlled by the feedback rhythm of the entire decay process: if the oscillation decays quickly, the peak-to-valley interval will gradually extend until it disappears; if the decay is slow, the peak-to-valley frequency will persist for a longer period of time. Therefore, by comprehensively analyzing the order of magnitude relationships and temporal evolution characteristics between these parameters, the energy flow path of the ringing behavior can be effectively restored, providing key support for identifying the excitation source, determining the system impedance matching status, and assessing the severity of the ringing. The greater 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 attenuation index. Similarly, the greater the difference between the peak-to-valley time interval and the reference interval, the more severe the oscillation rhythm abnormality, and the higher the attenuation index. The greater the deviation between the initial and final ringing amplitudes and the reference attenuation, the greater the ringing energy injection and residual energy, and the higher the index.

[0061] It should be noted that the value ranges of the weight coefficient corresponding to the oscillation duration, the weight coefficient corresponding to the peak-to-valley time interval, and the weight coefficient corresponding to the relative attenuation of the ringing are usually set between 0 and 1. For example, through a mapping table between the oscillation duration and the weight coefficient, the real-time detected oscillation duration is input into the mapping table in the database, so as to quickly obtain the weight coefficient corresponding to the oscillation duration. At the same time, for the peak-to-valley time interval, by constructing a mapping table between the peak-to-valley time interval and the weight coefficient, the real-time detected peak-to-valley time interval is input into the mapping table in the database, so as to quickly obtain the weight coefficient corresponding to the peak-to-valley time interval; for the relative attenuation of the ringing, the real-time measured ringing relative attenuation can also be input into the mapping table in the database through a pre-established mapping table between the ringing relative attenuation and the weight coefficient, so as to quickly obtain the weight coefficient corresponding to the ringing relative attenuation.

[0062] The specific process for extracting abnormal edge waveforms within a PWM cycle and focusing on ringing behavior is as follows: First, use the oscilloscope's persistence display and color grading features to quickly locate areas of high anomaly incidence, such as duty cycle jumps or the tailing of a rising edge. Then, using tracking demodulation techniques, parameters such as pulse width and duty cycle are extracted within each cycle, filtering out abnormal waveform segments whose edge jitter amplitude exceeds a set threshold. Finally, a clustering algorithm is used to group waveforms with similar oscillation frequencies and attenuation characteristics. A ringing heat map is generated in a three-dimensional coordinate system (time-frequency-amplitude) to identify the focused areas of ringing behavior.

[0063] Specifically, the ringing concentration area of ​​each PWM cycle is obtained by screening according to the signal attenuation index of each PWM cycle. The specific process is: extracting the signal attenuation index of each PWM cycle in the ringing behavior focus area, and comparing it with the set signal attenuation index threshold in the PWM cycle, counting the number of PWM cycles in the ringing behavior focus area whose signal attenuation index is higher than or equal to the signal attenuation index threshold in the PWM cycle, recording it as the number of ringing preparation concentration cycles, comparing the number of ringing preparation concentration cycles with the set ringing preparation concentration cycle number threshold, if the number of ringing preparation concentration cycles is higher than or equal to the ringing preparation concentration cycle number threshold, then marking the ringing behavior focus area as the ringing concentration area.

[0064] It should be noted that if the signal attenuation index per PWM cycle in the ringing behavior focused area is lower than the signal attenuation index threshold, it will not be included in the statistics of the number of ringing pre-concentration cycles and will not be counted in the subsequent ringing concentrated area determination. If the number of ringing pre-concentration cycles is lower than the ringing pre-concentration cycle threshold, the ringing behavior focused area does not need to be marked as a ringing concentrated area.

[0065] It should be noted that the number of ringing preparation concentration cycles is expressed as the number of statistical cycles. When the number of ringing preparation concentration cycles reaches the set ringing concentration cycle threshold, the entire ringing behavior focus area is marked as a ringing concentration area for subsequent more in-depth collection of signal transmission path parameters in the area and physical positioning.

[0066] Specifically, the oscillation timing compliance value of each signal transmission path in the ringing concentration area of ​​each PWM cycle is obtained. The specific process is: collecting the parameters of each signal transmission path in the ringing concentration area of ​​each PWM cycle, including the resonant frequency, the number of impedance jump positions, the ringing frequency and the number of reflection time points in the ringing cycle.

[0067] It's important to note that by inputting a swept frequency signal through a signal generator and observing the circuit's maximum output amplitude using an oscilloscope, for example, when the current peak or phase difference reaches zero (voltage and current are in phase) during series resonance in an RLC (resistor-inductor-capacitor) circuit, the corresponding frequency is the resonant frequency. By analyzing the number and intervals of reflection peaks in the TDR (Time Domain Reflectometry) waveform, the number of transition locations can be counted. Using an oscilloscope to directly capture the ringing waveform and measure the interval between adjacent peaks, the ringing frequency can be determined.

[0068] The deviation between the resonant frequency and the ringing frequency and the defined frequency domain response, the deviation between the number of impedance jump positions and the number of reflection time points within the ringing period and the defined time domain excitation are respectively analyzed in proportion, and the weight coefficient and the signal attenuation index of each PWM period are introduced and coupled to obtain the oscillation timing compliance value of each signal transmission path in the ringing concentration area of ​​each PWM period. The oscillation timing compliance value of each signal transmission path in the ringing concentration area of ​​each PWM period is used to quantify the strength of the ringing phenomenon and timing consistency of each path.

[0069] It should be noted that the oscillation timing compliance value of each signal transmission path in the ringing concentration area of ​​each PWM cycle is used to quantify the timing synchronization deviation and ringing energy concentration caused by impedance mismatch and energy attenuation in multi-path signal transmission. It can help identify the signal transmission path that exhibits abnormal ringing behavior in a specific PWM cycle, thereby providing a basis for locating abnormalities in power supply equipment.

[0070] It should be noted that the oscillation timing of each signal transmission path in the ringing concentration area of ​​each PWM cycle meets the value. The specific analysis conditions are:

[0071] ;

[0072] Where, Indicates the oscillation timing compliance value of the jth signal transmission path in the ringing concentration area of ​​the i-th PWM cycle represents the resonant frequency of the jth signal transmission path in the ringing concentration area of ​​the i-th PWM cycle, represents the ringing frequency of the jth signal transmission path in the ringing concentration area of ​​the i-th PWM cycle, Indicates the set frequency domain response quantity, represents the number of impedance jump positions of the jth signal transmission path in the ringing concentration area of ​​the i-th PWM cycle, represents the number of reflection time points of the jth signal transmission path in the ringing concentration area of ​​the i-th PWM cycle, Indicates the set time-domain excitation quantity, represents the signal attenuation index of the i-th PWM cycle, Indicates the weight coefficient corresponding to the set frequency domain response quantity, Indicates the weight coefficient corresponding to the set time domain excitation amount, Indicates the weight coefficient corresponding to the signal attenuation index of the set PWM cycle, i represents the number of each cycle, , n represents the total number of cycles, j represents the number of each signal transmission path, , m represents the total number of signal transmission paths.

[0073] It should be noted that the deviation between the resonant frequency and the ringing frequency reflects the difference in the signal path's frequency domain response, known as the time domain excitation quantity. This quantity reflects the degree of match between the system's inherent characteristics and the reflected oscillation, measuring the difference between the number of impedance jump locations in the path and the number of reflection time points within the ringing cycle. The deviation between the number of impedance jump locations and the number of reflection time points within the ringing cycle reflects the difference in the time domain excitation characteristics, known as the frequency domain response quantity. This quantity reflects the proximity between the signal path's resonant frequency and the actual observed ringing frequency. These quantities, by performing a difference calculation with pre-defined frequency domain response quantities and time domain excitation quantities, aim to measure the degree to which the signal transmission path's characteristics in the frequency and time domains deviate from expected standards, thereby helping to identify critical paths that may cause ringing anomalies. By performing a difference calculation with pre-defined limits, each signal transmission path can be comprehensively evaluated for its oscillation timing conformance within a specific PWM cycle.

[0074] It should be noted that the defined frequency domain response quantity and the defined time domain excitation quantity are used to quantify the response characteristics of the signal in the frequency domain and time domain respectively. 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 degree of deviation between the actual parameters and the preset defined frequency domain response quantity and the defined time domain excitation quantity, the high-frequency energy coupling anomaly and reflection superposition risks in the signal transmission path are comprehensively evaluated.

[0075] It should be noted that in the analysis of ringing anomaly location, there is a close correlation between cross-constraints and feedback coupling between the resonant frequency and the ringing frequency, the number of impedance jump positions and the number of reflection time points within the ringing cycle, and the weight coefficient and the signal attenuation index of each PWM cycle. Specifically, when the resonant frequency of the signal path is close to the actually observed ringing frequency, it indicates that the structure itself is prone to excite a resonant response in this frequency band, significantly increasing the possibility of this path being the ringing source. When these structural factors are highly consistent with the actual ringing waveform, combined with the changing trend of the signal attenuation index in each PWM cycle, the degree of ringing propagation and attenuation on these paths can be further determined. In order to integrate these influencing factors, it is helpful to construct a more discriminative oscillation timing coincidence value index, thereby accurately identifying the key signal paths that cause ringing excitation and improving the accuracy and pertinence of anomaly location.

[0076] 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 index of the PWM cycle are generally set between 0 and 1. For example, through a mapping table between the frequency domain response quantity and the weight coefficient, the frequency domain response quantity detected in real time is input into the mapping table in the database, thereby quickly obtaining the weight coefficient corresponding to the frequency domain response quantity. At the same time, for the time domain excitation quantity, by constructing a mapping table between the time domain excitation quantity and the weight coefficient, the time domain excitation quantity detected in real time is input into the mapping table in the database, thereby quickly obtaining the weight coefficient corresponding to the time domain excitation quantity. For the signal attenuation index of the PWM cycle, the signal attenuation index of the PWM cycle measured in real time can also be input into the mapping table in the database through a pre-established mapping table between the signal attenuation index of the PWM cycle and the weight coefficient, thereby quickly obtaining the weight coefficient corresponding to the signal attenuation index of the PWM cycle.

[0077] Specifically, the abnormal signal transmission paths are obtained by screening according to the oscillation timing compliance values ​​of each signal transmission path in the ringing concentration area of ​​each PWM cycle. The specific process is: 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 values ​​of each signal transmission path in the ringing concentration area of ​​each PWM cycle are obtained in combination with the signal attenuation index of each PWM cycle. According to the oscillation timing compliance values ​​of each signal transmission path in the ringing concentration area of ​​each PWM cycle, the abnormal signal transmission paths are obtained by screening.

[0078] It should be noted that the specific process of screening 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 is as follows: according to 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 compared with the set oscillation timing compliance threshold of the signal transmission path, and the number of each PWM cycle in which the oscillation timing compliance value of each signal transmission path in the ringing concentration area of ​​each PWM cycle is higher than or equal to the oscillation timing compliance threshold of the signal transmission path is counted, and recorded as the number of each abnormal signal PWM cycle. If each signal transmission path in the ringing concentration area of ​​each PWM cycle has an oscillation timing compliance value higher than or equal to the oscillation timing compliance threshold of the signal transmission path, the number of each abnormal signal PWM cycle is counted. If the oscillation timing compliance value of the signal transmission path is lower than the number of PWM cycles of the oscillation timing compliance threshold of the signal transmission path, it does not need to be marked. The number of PWM cycles of each abnormal signal is compared with the preset abnormal signal PWM cycle threshold. If the number of PWM cycles of each abnormal signal is higher than or equal to the abnormal signal PWM cycle threshold, it means that the path is highly consistent with the ringing behavior in frequency domain characteristics and time domain reflection timing, and is therefore screened as an abnormal signal transmission path; conversely, if the number of PWM cycles of each abnormal signal is lower than the abnormal signal PWM cycle threshold, it is considered that the path does not significantly participate in ringing excitation and is excluded.

[0079] like Figure 3 As shown, Figure 3 To identify the overall logical flow diagram of each abnormal signal transmission path, the relevant signal transmission path parameters are first collected from the ringing concentration area of ​​each PWM cycle. Next, these parameters are compared with the corresponding reference values ​​to obtain the oscillation timing compliance value of each signal transmission path. The identified abnormal paths are then used to accurately locate the ringing anomaly in the PWM output signal, which can more effectively filter abnormal paths from complex signals, improve the operational safety and fault prediction capabilities of the power supply equipment, and provide early warning of potential fault risks.

[0080] Specifically, the power supply equipment is warned based on each abnormal signal transmission path. The specific process is: count the number of each abnormal signal transmission path, and compare it with the preset threshold value of the number of abnormal signal transmission paths. If the number of each abnormal signal transmission path is higher than the threshold value of the number of abnormal signal transmission paths, a warning is triggered, and the controller highlights the circuit board area or component number corresponding to the path in the monitoring interface, and automatically generates an alarm log.

[0081] like Figure 4As shown, the second aspect of the present invention also provides a system for locating an abnormality of a PWM signal output by a power supply device, comprising: a PWM edge extraction and preliminary judgment module, for obtaining edge segments of the output waveform of each PWM cycle after filtering, collecting and analyzing transient waveform data of the edge segments of the output waveform of each PWM cycle, obtaining a preliminary ringing trigger value of the output waveform of each PWM cycle, and screening to obtain abnormal edge segment waveforms in each PWM cycle.

[0082] The ringing behavior focusing module is used to extract the abnormal edge segment waveforms in each PWM cycle and aggregate them 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 screened based on the signal attenuation index of each PWM cycle.

[0083] The signal path analysis module is used to collect and analyze the corresponding signal transmission path parameters according to the ringing concentration area of ​​each PWM cycle, 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.

[0084] The abnormal path determination and early warning module 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 to issue an early warning to the power supply equipment based on each abnormal signal transmission path.

[0085] Those skilled in the art will appreciate that embodiments of the present invention may be provided as methods, systems, or computer program products. Thus, the present invention may take the form of an entirely hardware embodiment, an entirely software embodiment, or an embodiment combining software and hardware aspects. Furthermore, the present invention may take the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to magnetic disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.

[0086] The present invention is described with reference to flowcharts and / or block diagrams of methods, devices (systems), and computer program products according to embodiments of the present invention. It should be understood that each process and / or block in the flowcharts and / or block diagrams, as well as combinations of processes and / or blocks in the flowcharts and / or block diagrams, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing device to produce a machine, so that the instructions executed by the processor of the computer or other programmable data processing device generate instructions for implementing the processes in the flowcharts and / or block diagrams. Figure 1 a process or multiple processes and / or boxes Figure 1 A device that provides the functions specified in a block or multiple blocks.

[0087] These computer program instructions may also be stored in a computer readable memory that can direct a computer or other programmable data processing device to work in a specific manner, so that the instructions stored in the computer readable memory produce an article of manufacture comprising an instruction device, which implements the process Figure 1 a process or multiple processes and / or boxes Figure 1 The function specified in one or more boxes.

[0088] These computer program instructions can also be loaded onto a computer or other programmable data processing device so that a series of operational steps are executed on the computer or other programmable device to produce a computer-implemented process, thereby providing the instructions executed on the computer or other programmable device for implementing the process. Figure 1 a process or multiple processes and / or boxes Figure 1 A step that specifies a function in one or more boxes.

[0089] Although the preferred embodiments of the present invention have been described, those skilled in the art may make additional changes and modifications to these embodiments once they have learned the basic creative concept. Therefore, the appended claims are intended to be interpreted as including the preferred embodiments and all changes and modifications that fall within the scope of the present invention.

[0090] Obviously, those skilled in the art may make various changes and modifications to the present invention without departing from the spirit and scope of the present invention. Thus, if such changes and modifications fall within the scope of the claims and their equivalents, the present invention is intended to include such changes and modifications.

Claims

1. A method for locating abnormality of PWM signal output by power supply equipment, characterized in that: include: Obtain the edge segments of the output waveform of each PWM cycle after filtering, collect and analyze the transient waveform data of the edge segments of the output waveform of each PWM cycle, obtain the preliminary ringing trigger value of the output waveform of each PWM cycle, and screen out the abnormal edge segment waveforms in each PWM cycle; Extract the abnormal edge segment waveforms in each PWM cycle and aggregate them to obtain the ringing behavior focus area, obtain data of the ringing behavior focus area and analyze it to obtain the signal attenuation index of each PWM cycle. The specific process is: extract the data of the ringing behavior focus area, including the oscillation duration, the peak-to-valley time interval, the initial ringing amplitude, and the final ringing amplitude; perform a ratio analysis on the deviation between the oscillation duration and the oscillation reference duration, and between the peak-to-valley time interval and the peak-to-valley reference time interval; perform a ratio analysis on the deviation between the initial ringing amplitude and the final ringing amplitude and the deviation between the reference ringing relative attenuation; introduce a weight coefficient and couple them to obtain the signal attenuation index of each PWM cycle. The signal attenuation index of each PWM cycle is used to comprehensively quantify the rate and intensity of the ringing energy attenuation in the PWM cycle; The ringing concentration region of each PWM cycle is obtained by screening based on the signal attenuation index of each PWM cycle. The specific process is as follows: the signal attenuation index of each PWM cycle is extracted in the ringing behavior focus region and compared with the set signal attenuation index threshold in the PWM cycle. The number of PWM cycles in the ringing behavior focus region whose signal attenuation index is greater than or equal to the signal attenuation index threshold in the PWM cycle is counted, and recorded as the number of pre-ringing concentration cycles. The number of pre-ringing concentration cycles is compared with the set pre-ringing concentration cycle threshold. If the number of pre-ringing concentration cycles is greater than or equal to the pre-ringing concentration cycle threshold, the ringing behavior focus region is marked as a ringing concentration region. 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; According to the oscillation timing compliance value of each signal transmission path in the ringing concentration area of ​​each PWM cycle, the specific process is as follows: collecting the parameters of each signal transmission path in the ringing concentration area of ​​each PWM cycle, including the resonant frequency, the number of impedance jump positions, the ringing frequency, and the number of reflection time points within the ringing cycle; The deviation between the resonant frequency and the ringing frequency and the defined frequency domain response, as well as the deviation between the number of impedance jump positions and the number of reflection time points within the ringing period and the defined time domain excitation are analyzed in proportion to each other. The weight coefficient and the signal attenuation index of each PWM period are introduced and coupled to obtain the oscillation timing compliance value of each signal transmission path in the ringing concentration area of ​​each PWM period. The oscillation timing compliance value of each signal transmission path in the ringing concentration area of ​​each PWM period is used to quantify the strength of the ringing phenomenon and timing consistency of each path; The abnormal signal transmission paths are screened and early warnings are issued to the power supply equipment according to the abnormal signal transmission paths.

2. The method for locating an abnormality in a PWM signal output by a power supply device according to claim 1, wherein: The specific process of obtaining the edge segments of the output waveform of each PWM cycle after filtering is as follows: The transient edge and ringing components in the PWM output waveform signal are extracted through a bandpass filter, and each time window is preset to extract the waveform segment within each time window as the output waveform edge segment of each cycle.

3. The method for locating an abnormality in a PWM signal output by a power supply device according to claim 1, wherein: The specific process of obtaining the preliminary ringing trigger value of the output waveform of each PWM cycle is as follows: Transient waveform data of the output waveform edge segment of each PWM cycle is extracted, including the amplitude change rate, ringing frequency and waveform duration of the transient waveform. The amplitude change rate of the transient waveform and the amplitude reference change rate of the transient waveform, the ringing frequency and the reference ringing frequency, and the waveform duration and the waveform reference duration are respectively analyzed in proportion. After introducing a weight coefficient and coupling, a preliminary ringing trigger value of the output waveform of each PWM cycle is obtained. The preliminary ringing trigger value of the output waveform of each PWM cycle is used to evaluate whether there is a degree of ringing phenomenon in the PWM signal of each cycle.

4. The method for locating an abnormality in a PWM signal output by a power supply device as claimed in claim 2, wherein: The screening process to obtain abnormal edge segment waveforms in each PWM cycle is as follows: The ringing preliminary trigger value of the output waveform of each PWM cycle is extracted and compared with the set ringing preliminary trigger threshold of the PWM output waveform. If the ringing preliminary trigger value of the output waveform of a certain PWM cycle is higher than or equal to the ringing preliminary trigger threshold of the PWM output waveform, the output waveform of the PWM cycle is recorded as an abnormal edge segment waveform, thereby obtaining the abnormal edge segment waveform in each PWM cycle.

5. The method for locating an abnormality in a PWM signal output by a power supply device according to claim 1, wherein: The specific process of screening the abnormal signal transmission paths according to the oscillation timing compliance value of each signal transmission path in the ringing concentration area of ​​each PWM cycle is as follows: According to the ringing concentration area of ​​each PWM cycle, the corresponding signal transmission path parameters are collected and analyzed. Combined with the signal attenuation index of each PWM cycle, the oscillation timing compliance value of each signal transmission path in the ringing concentration area of ​​each PWM cycle is obtained. 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.

6. The method for locating an abnormality in a PWM signal output by a power supply device according to claim 1, wherein: The specific process of providing early warning to the power supply equipment according to each abnormal signal transmission path is as follows: The number of abnormal signal transmission paths is counted and compared with the preset threshold value of the number of abnormal signal transmission paths. If the number of abnormal signal transmission paths is higher than the threshold value, an early 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.

7. A system using the method for locating an abnormality of a PWM signal output by a power supply device according to any one of claims 1 to 6, characterized in that: include: The PWM edge extraction and preliminary judgment module is used to obtain the edge segments of the output waveform of each PWM cycle after filtering, collect and analyze the transient waveform data of the edge segments of the output waveform of each PWM cycle, obtain the preliminary ringing trigger value of the output waveform of each PWM cycle, and screen out the abnormal edge segment waveforms in each PWM cycle; The ringing behavior focusing module is used to extract the abnormal edge segment waveforms in each PWM cycle and aggregate them 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 screened based on the signal attenuation index of each PWM cycle. The signal path analysis module is used to collect and analyze the corresponding signal transmission path parameters based on the ringing concentration area of ​​each PWM cycle, 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; The abnormal path determination and early warning module 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 to issue an early warning to the power supply equipment based on each abnormal signal transmission path.

Images