Hidden fault diagnosis method, device and equipment for high-frequency transformer and storage medium

Abstract

The invention discloses a fault hidden danger diagnosis method and device for a high-frequency transformer, equipment and a storage medium, and the method comprises the steps: obtaining a vibration signal of the high-frequency transformer through a vibration sensor, carrying out the fast Fourier transform of the vibration signal, obtaining the vibration amplitudes at a plurality of frequencies, and obtaining the fault hidden danger of the high-frequency transformer based on the vibration amplitudes at all frequencies. And calculating the frequency proportion and the maximum frequency energy ratio, calculating the vibration information entropy of the vibration signal according to the frequency proportion and the maximum frequency energy ratio, and diagnosing the fault state of the high-frequency transformer through the vibration information entropy. Therefore, the frequency amplitude information is obtained by using the high-frequency vibration characteristic of the high-frequency transformer, so that the vibration information entropy for evaluating the fault state is obtained, the fault hidden danger is found when the high-frequency transformer is not damaged, and the potential damage to the high-frequency transformer is eliminated in time.

Description

Technical Field

[0001] The present application relates to the technical field of power equipment diagnosis, and more specifically, to a method, apparatus, equipment and storage medium for diagnosing hidden faults of high-frequency transformers. Background Art

[0002] As a core component of modern power electronics systems, high-frequency transformers integrate power electronics and high-frequency flux technology, enabling efficient electrical energy conversion and playing a vital role in new energy, electric vehicles, communications systems, and other fields. Compared to traditional power-frequency transformers, they are smaller, lighter, and have higher power density. They exhibit noticeable vibration during operation, and their operating status can be diagnosed using vibration signals.

[0003] Existing offline detection methods such as short-circuit impedance method and frequency response method have insufficient ability to detect early minor faults, poor anti-interference ability and weak quantification ability.

[0004] How to diagnose the hidden troubles of high-frequency transformers as early as possible and eliminate the potential damage to high-frequency transformers in time is an issue that needs attention. Summary of the Invention

[0005] In view of the above problems, the present application provides a method, device, equipment and storage medium for diagnosing hidden faults of high-frequency transformers, so as to diagnose hidden faults of high-frequency transformers as early as possible and eliminate potential damage to the high-frequency transformers in a timely manner.

[0006] In order to achieve the above objectives, the following specific plans are proposed:

[0007] A method for diagnosing hidden dangers of high-frequency transformer faults, comprising:

[0008] Obtain the vibration signal of the high-frequency transformer through a vibration sensor;

[0009] Performing a fast Fourier transform on the vibration signal to obtain vibration amplitudes at multiple frequencies;

[0010] Based on the vibration amplitude at each frequency, calculate the frequency proportion and the maximum frequency energy proportion;

[0011] Calculating the vibration information entropy of the vibration signal according to the frequency proportion and the maximum frequency energy proportion;

[0012] The fault state of the high-frequency transformer is diagnosed using the vibration information entropy.

[0013] Optionally, diagnosing the fault state of the high-frequency transformer by using the vibration information entropy includes:

[0014] If the vibration information entropy is not higher than the first entropy threshold, determining that the fault state of the high-frequency transformer is free of potential fault hazards;

[0015] If the vibration information entropy is higher than the first entropy threshold and not higher than the second entropy threshold, it is determined that the fault state of the high-frequency transformer is a potential fault, and the second entropy threshold is greater than the first entropy threshold;

[0016] If the vibration information entropy is higher than the second entropy threshold, it is determined that the fault state of the high-frequency transformer is a serious fault.

[0017] Optionally, the calculation of the frequency proportion and the maximum frequency energy proportion based on the vibration amplitude at each frequency includes:

[0018] The frequency proportion is calculated using the first formula, which is:

[0019]

[0020] in, is the frequency ratio, f is the frequency, is the vibration amplitude at frequency f;

[0021] The maximum frequency energy ratio is calculated using the second formula, which is:

[0022]

[0023] in, is the maximum frequency energy proportion, is the vibration amplitude at the maximum frequency.

[0024] Optionally, calculating the vibration information entropy of the vibration signal according to the frequency proportion and the maximum frequency energy proportion includes:

[0025] The vibration information entropy of the vibration signal is calculated using the third formula, which is:

[0026]

[0027] in, is the vibration information entropy of the vibration signal.

[0028] Optionally, the vibration sensor is a vibration acceleration sensor, and a plurality of the vibration sensors are installed on the iron core and winding surface of the high-frequency transformer.

[0029] Optionally, before diagnosing the fault state of the high-frequency transformer using the vibration information entropy, the method further includes:

[0030] Obtaining a vibration information entropy load current variation curve, where the vibration information entropy load current variation curve is obtained by fitting based on test vibration information entropies measured at a plurality of load currents of the high-frequency transformer;

[0031] The vibration information entropy is corrected according to the vibration information entropy load current variation curve to obtain a corrected vibration information entropy.

[0032] A device for diagnosing hidden dangers of high-frequency transformers, comprising:

[0033] A vibration signal acquisition unit, configured to acquire a vibration signal of the high-frequency transformer through a vibration sensor;

[0034] a fast Fourier transform unit, configured to perform a fast Fourier transform on the vibration signal to obtain vibration amplitudes at multiple frequencies;

[0035] A frequency weight capacity ratio calculation unit is used to calculate the frequency weight and the maximum frequency energy ratio based on the vibration amplitude at each frequency;

[0036] a vibration information entropy calculation unit, configured to calculate the vibration information entropy of the vibration signal according to the frequency proportion and the maximum frequency energy proportion;

[0037] A fault status diagnosis unit is used to diagnose the fault status of the high-frequency transformer through the vibration information entropy.

[0038] Optionally, the fault status diagnosis unit includes:

[0039] a first fault status diagnosis subunit, configured to determine that the fault status of the high-frequency transformer is free of potential fault hazards if the vibration information entropy is not higher than a first entropy threshold;

[0040] a second fault state diagnosis subunit, configured to determine that the fault state of the high-frequency transformer is a potential fault if the vibration information entropy is higher than the first entropy threshold and not higher than a second entropy threshold, and the second entropy threshold is greater than the second entropy threshold;

[0041] The third fault status diagnosis subunit is configured to determine that the fault status of the high-frequency transformer is a serious fault if the vibration information entropy is higher than the second entropy threshold.

[0042] Optionally, the frequency-weighted capacity ratio calculation unit includes:

[0043] The first formula calculation unit is configured to calculate the frequency proportion using a first formula, where the first formula is:

[0044]

[0045] in, is the frequency ratio, f is the frequency, is the vibration amplitude at frequency f;

[0046] A second formula calculation unit is configured to calculate the maximum frequency energy ratio using a second formula, where the second formula is:

[0047]

[0048] in, is the maximum frequency energy proportion, is the vibration amplitude at the maximum frequency.

[0049] Optionally, the vibration information entropy calculation unit includes:

[0050] A third formula calculation unit is configured to calculate the vibration information entropy of the vibration signal using a third formula, where the third formula is:

[0051]

[0052] in, is the vibration information entropy of the vibration signal.

[0053] Optionally, the vibration sensor is a vibration acceleration sensor, and a plurality of the vibration sensors are installed on the iron core and winding surface of the high-frequency transformer.

[0054] Optionally, the device further includes:

[0055] a curve acquisition unit, configured to acquire a vibration information entropy load current variation curve before diagnosing the fault state of the high-frequency transformer using the vibration information entropy, wherein the vibration information entropy load current variation curve is obtained by fitting based on test vibration information entropies measured at a plurality of load currents of the high-frequency transformer;

[0056] The vibration information entropy correction unit is used to correct the vibration information entropy according to the vibration information entropy load current change curve to obtain a corrected vibration information entropy.

[0057] A high-frequency transformer fault hidden danger diagnosis device includes a memory and a processor;

[0058] The memory is used to store programs;

[0059] The processor is used to execute the program to implement the various steps of the method for diagnosing hidden dangers of high-frequency transformer faults as described above.

[0060] A storage medium stores a computer program, which, when executed by a processor, implements the various steps of the method for diagnosing hidden dangers of high-frequency transformers as described above.

[0061] By means of the above technical solution, the present application obtains the vibration signal of the high-frequency transformer through a vibration sensor, performs a fast Fourier transform on the vibration signal, obtains the vibration amplitude at multiple frequencies, calculates the frequency proportion and the maximum frequency energy proportion based on the vibration amplitude at each frequency, calculates the vibration information entropy of the vibration signal based on the frequency proportion and the maximum frequency energy proportion, and diagnoses the fault state of the high-frequency transformer through the vibration information entropy. It can be seen that by utilizing the high-frequency vibration characteristics of the high-frequency transformer, the frequency amplitude information is obtained, thereby obtaining the vibration information entropy used to evaluate the fault state, so as to discover the hidden fault of the high-frequency transformer when it does not show damage, and eliminate the potential damage to the high-frequency transformer in a timely manner. BRIEF DESCRIPTION OF THE DRAWINGS

[0062] Various other advantages and benefits will become apparent to those skilled in the art upon reading the detailed description of the preferred embodiment below. The accompanying drawings are for illustration purposes only and are not to be considered as limiting the present application. The same reference symbols are used throughout the drawings to represent the same components. In the drawings:

[0063] Figure 1 A schematic diagram of a process for diagnosing potential fault hazards of a high-frequency transformer provided in an embodiment of the present application;

[0064] Figure 2 A schematic diagram of installing a vibration sensor on a high-frequency transformer according to an embodiment of the present application;

[0065] Figure 3 A vibration information entropy load current change curve provided in an embodiment of the present application;

[0066] Figure 4 A schematic diagram of the structure of a device for diagnosing hidden faults of a high-frequency transformer provided in an embodiment of the present application;

[0067] Figure 5 A schematic diagram of the structure of a device for diagnosing potential fault hazards of a high-frequency transformer provided in an embodiment of the present application. DETAILED DESCRIPTION

[0068] The following will be combined with the drawings in the embodiments of this application to clearly and completely describe the technical solutions in the embodiments of this application. Obviously, the embodiments described are only part of the embodiments of this application, not all of the embodiments. Based on the embodiments in this application, all other embodiments obtained by ordinary technicians in this field without making creative efforts are within the scope of protection of this application.

[0069] The present application solution can be implemented based on a terminal with data processing capabilities, which can be a computer, cloud, server, etc.

[0070] Next, combine Figure 1 The method for diagnosing hidden dangers of high-frequency transformer faults of the present application may include the following steps:

[0071] Step S110: Obtain a vibration signal of the high-frequency transformer through a vibration sensor.

[0072] The vibration sensor may be a vibration acceleration sensor.

[0073] Specifically, multiple vibration sensors can be installed on the core and winding surface of the high-frequency transformer. Figure 2 As shown, Figure 2 The left side shows the selection of vibration measurement points on the front of the high-frequency transformer. Figure 2 The right side shows the selection of vibration measurement points on the left side of the high-frequency transformer. The selection method of vibration measurement points on the back and right side of the high-frequency transformer is the same as that on the front and left sides, respectively. The measurement points on the entire high-frequency transformer are symmetrically distributed. Figure 2 The cross in the middle indicates the location where vibration sensors are attached to the winding and yoke. This is the main part of the vibration measurement. Figure 2 The middle dots represent vibration sensors attached to the edges of the iron yoke, thereby ensuring that the number of vibration measurement points is sufficient and can wrap the outer contour of the high-frequency transformer, so that the extracted vibration signal can better reflect the actual vibration condition of the high-frequency transformer.

[0074] Step S120: Perform fast Fourier transform on the vibration signal to obtain vibration amplitudes at multiple frequencies.

[0075] Specifically, after performing fast Fourier transform on the vibration signal in the time domain, multiple frequencies and the vibration amplitude corresponding to each frequency can be obtained.

[0076] As you can understand, the Fast Fourier Transform (FFT) is highly efficient and real-time, enabling real-time processing of vibration signals from high-frequency transformers. This, combined with the installation of vibration accelerometers, enables online monitoring of the transformer's operating status. However, the vibration signals of high-frequency transformers primarily occur in the high-frequency range of 1000Hz to 10,000Hz, significantly different from traditional power-frequency transformers, which typically have vibration frequencies concentrated around 100Hz and its multiples. The FFT transform converts the time-domain vibration signal into a frequency-domain representation, clearly isolating the vibration amplitudes of each frequency component and accurately capturing the unique kHz-level vibration characteristics of high-frequency transformers.

[0077] Step S130: Calculate the frequency proportion and the maximum frequency energy proportion based on the vibration amplitude at each frequency.

[0078] The frequency weight represents the energy contribution of a specific frequency component in a high-frequency transformer's vibration signal. The maximum frequency energy ratio quantifies the proportion of the most energetic single frequency component in the vibration signal to the overall high-frequency energy, reflecting the dominant frequency characteristics of the vibration energy.

[0079] It's understandable that if a frequency has a high frequency weight, it indicates that the vibration energy at that frequency dominates the overall vibration, and can be used to identify the characteristic frequencies of a high-frequency transformer during normal operation or fault conditions. When a high-frequency transformer experiences mechanical structural faults such as loose windings or bulging, its vibration characteristics change, manifesting as an abnormal increase or decrease in vibration energy at a specific frequency, which in turn causes a change in the corresponding frequency weight. By analyzing the distribution and changes in frequency weights, it's possible to identify frequency characteristic anomalies caused by faults, providing a quantitative basis for fault diagnosis.

[0080] Changes in the mechanical structure of a high-frequency transformer's windings can alter the frequency distribution of the vibration signal. The maximum frequency energy fraction can detect anomalies at the frequency point with the highest energy. For example, a turn-to-turn short circuit can cause a surge in the energy of a specific high-frequency component, leading to an abnormally high maximum frequency energy fraction, thus assisting in determining the type and severity of the fault.

[0081] Step S140: Calculate the vibration information entropy of the vibration signal according to the frequency proportion and the maximum frequency energy proportion.

[0082] Among them, vibration information entropy can represent the uniformity of frequency energy distribution and signal complexity within a specific frequency band.

[0083] It is understandable that when the mechanical structure of the winding changes (such as inter-turn short circuit or loose winding), the frequency distribution of the vibration energy will change due to abnormal mechanical stress. The entropy value converts this change into a quantifiable value through mathematical calculation, thereby achieving an accurate assessment of the severity of the fault.

[0084] Step S150: diagnose the fault state of the high-frequency transformer through vibration information entropy.

[0085] It is understandable that the early minor faults of high-frequency transformers have no obvious characteristics in the time domain signal, but the vibration information entropy can capture subtle signal complexity anomalies by analyzing the frequency capability changes in the entire frequency band, thereby capturing the early minor faults of high-frequency transformers with high sensitivity.

[0086] The method for diagnosing hidden faults of high-frequency transformers provided in this embodiment uses a vibration sensor to obtain a vibration signal of the high-frequency transformer, performs a fast Fourier transform on the vibration signal, obtains vibration amplitudes at multiple frequencies, calculates the frequency proportion and the maximum frequency energy proportion based on the vibration amplitude at each frequency, calculates the vibration information entropy of the vibration signal based on the frequency proportion and the maximum frequency energy proportion, and diagnoses the fault state of the high-frequency transformer using the vibration information entropy. Thus, by utilizing the high-frequency vibration characteristics of the high-frequency transformer to obtain frequency amplitude information, the vibration information entropy is obtained for assessing the fault state, thereby detecting potential faults of the high-frequency transformer even when it does not appear to be damaged, and promptly eliminating potential damage to the high-frequency transformer.

[0087] In some embodiments of the present application, the process of diagnosing the fault state of the high-frequency transformer by using vibration information entropy in the above step S150 is introduced, and the process may include the following three situations.

[0088] First, if the vibration information entropy is not higher than the first entropy threshold, it is determined that the fault state of the high-frequency transformer is that there is no potential fault risk.

[0089] Second, if the vibration information entropy is higher than the first entropy threshold and not higher than the second entropy threshold, it is determined that the fault state of the high-frequency transformer is that there is a potential fault.

[0090] The second entropy threshold is greater than the first entropy threshold.

[0091] Third, if the vibration information entropy is higher than the second entropy threshold, it is determined that the fault state of the high-frequency transformer is a serious fault.

[0092] For example, when the vibration information entropy R ≤ 3 (first entropy threshold), it can indicate that the high-frequency transformer is healthy. When 3 (first entropy threshold) < vibration information entropy R ≤ 5 (second entropy threshold), it can indicate that the high-frequency transformer has a potential fault. When the vibration information entropy R > 5 (second entropy threshold), it can indicate that the high-frequency transformer has a serious fault.

[0093] In some embodiments of the present application, the process of calculating the frequency proportion and the maximum frequency energy proportion based on the vibration amplitude at each frequency in step S130 is introduced. This process may include:

[0094] S1. Calculate the frequency ratio using the first formula.

[0095] It can be understood that, from the perspective of energy, the frequency proportion mainly represents the proportion of the harmonic component at the frequency f. The vibration frequency of the high-frequency transformer can be twice the excitation frequency as the fundamental frequency. According to the characteristics of the high-frequency transformer vibration signal, its frequency range is in the frequency range of 1000Hz~10000Hz, so the first formula can be:

[0096]

[0097] in, is the frequency ratio, f is the frequency, is the vibration amplitude at frequency f.

[0098] S2. Calculate the maximum frequency energy ratio using the second formula.

[0099] Among them, the second formula is:

[0100]

[0101] in, is the maximum frequency energy ratio, is the vibration amplitude at the maximum frequency.

[0102] In some embodiments of the present application, the process of calculating the vibration information entropy of the vibration signal according to the frequency proportion and the maximum frequency energy proportion in step S140 is introduced. The process may include:

[0103] The vibration information entropy of the vibration signal is calculated using the third formula.

[0104] Among them, the third formula is:

[0105]

[0106] in, is the vibration information entropy of the vibration signal.

[0107] Considering that the voltage of the high-frequency transformer remains basically unchanged during operation, while the current varies greatly with the load, in order to further improve the accuracy of vibration information entropy, the vibration information entropy can be compensated by combining the load current factor before diagnosing the fault state of the high-frequency transformer through vibration information entropy. The specific process may include:

[0108] S1. Obtain the vibration information entropy load current change curve.

[0109] The load current variation curve of the vibration information entropy is obtained by fitting based on the test vibration information entropy measured by the high-frequency transformer under several load currents.

[0110] Specifically, when the load current is very small, the fundamental frequency component in the vibration signal spectrum is very small, and most of the vibration energy is concentrated at a frequency of 2000Hz. Analyzing the trend of vibration information entropy changing with load current, it is found that the vibration information entropy of the high-frequency transformer increases with the increase of load current. Based on this, the corresponding test vibration information entropy is measured under several load currents and fitted to obtain the following: Figure 3The vibration information entropy load current change curve shown in Figure 3 It can be seen that for every 10% increase in the load current level, the vibration information entropy increases by 0.15.

[0111] S2. Correct the vibration information entropy according to the load current variation curve of the vibration information entropy to obtain a corrected vibration information entropy.

[0112] Specifically, the current load current of the high-frequency transformer can be obtained, and the amplitude that needs to be corrected / compensated can be determined through the vibration information entropy load current change curve, and then corrected / compensated to the vibration information entropy, thereby obtaining a more accurate vibration information entropy.

[0113] The following describes an apparatus for diagnosing hidden dangers of high-frequency transformers provided in an embodiment of the present application. The apparatus for diagnosing hidden dangers of high-frequency transformers described below and the method for diagnosing hidden dangers of high-frequency transformers described above can refer to each other.

[0114] See also Figure 4 , Figure 4 This is a schematic diagram of the structure of a device for diagnosing potential fault hazards of a high-frequency transformer disclosed in an embodiment of the present application.

[0115] like Figure 4 As shown, the device may include:

[0116] A vibration signal acquisition unit 11 is used to acquire a vibration signal of the high-frequency transformer through a vibration sensor;

[0117] A fast Fourier transform unit 12 is used to perform a fast Fourier transform on the vibration signal to obtain vibration amplitudes at multiple frequencies;

[0118] The frequency weight capacity ratio calculation unit 13 is used to calculate the frequency weight and the maximum frequency energy ratio based on the vibration amplitude at each frequency;

[0119] a vibration information entropy calculation unit 14, configured to calculate the vibration information entropy of the vibration signal according to the frequency proportion and the maximum frequency energy proportion;

[0120] The fault state diagnosis unit 15 is configured to diagnose the fault state of the high-frequency transformer using the vibration information entropy.

[0121] Optionally, the fault status diagnosis unit includes:

[0122] a first fault status diagnosis subunit, configured to determine that the fault status of the high-frequency transformer is free of potential fault hazards if the vibration information entropy is not higher than a first entropy threshold;

[0123] a second fault state diagnosis subunit, configured to determine that the fault state of the high-frequency transformer is a potential fault if the vibration information entropy is higher than the first entropy threshold and not higher than a second entropy threshold, and the second entropy threshold is greater than the second entropy threshold;

[0124] The third fault status diagnosis subunit is configured to determine that the fault status of the high-frequency transformer is a serious fault if the vibration information entropy is higher than the second entropy threshold.

[0125] Optionally, the frequency-weighted capacity ratio calculation unit includes:

[0126] The first formula calculation unit is configured to calculate the frequency proportion using a first formula, where the first formula is:

[0127]

[0128] in, is the frequency ratio, f is the frequency, is the vibration amplitude at frequency f;

[0129] A second formula calculation unit is configured to calculate the maximum frequency energy ratio using a second formula, where the second formula is:

[0130]

[0131] in, is the maximum frequency energy proportion, is the vibration amplitude at the maximum frequency.

[0132] Optionally, the vibration information entropy calculation unit includes:

[0133] A third formula calculation unit is configured to calculate the vibration information entropy of the vibration signal using a third formula, where the third formula is:

[0134]

[0135] in, is the vibration information entropy of the vibration signal.

[0136] Optionally, the vibration sensor is a vibration acceleration sensor, and a plurality of the vibration sensors are installed on the iron core and winding surface of the high-frequency transformer.

[0137] Optionally, the device further includes:

[0138] a curve acquisition unit, configured to acquire a vibration information entropy load current variation curve before diagnosing the fault state of the high-frequency transformer using the vibration information entropy, wherein the vibration information entropy load current variation curve is obtained by fitting based on test vibration information entropies measured at a plurality of load currents of the high-frequency transformer;

[0139] The vibration information entropy correction unit is used to correct the vibration information entropy according to the vibration information entropy load current change curve to obtain a corrected vibration information entropy.

[0140] The apparatus for diagnosing hidden dangers of high-frequency transformers provided in the embodiments of the present application can be applied to devices for diagnosing hidden dangers of high-frequency transformers, such as terminals: mobile phones, computers, etc. Optionally, Figure 5 The hardware structure diagram of the equipment for diagnosing the hidden dangers of high-frequency transformers is shown in FIG. Figure 5 The hardware structure of the device for diagnosing hidden dangers of high-frequency transformer faults may include: at least one processor 1, at least one communication interface 2, at least one memory 3 and at least one communication bus 4;

[0141] In the embodiment of the present application, the number of the processor 1, the communication interface 2, the memory 3, and the communication bus 4 is at least one, and the processor 1, the communication interface 2, and the memory 3 communicate with each other through the communication bus 4;

[0142] The processor 1 may be a central processing unit (CPU), or an application-specific integrated circuit (ASIC), or one or more integrated circuits configured to implement the embodiments of the present invention;

[0143] The memory 3 may include a high-speed RAM memory, and may also include a non-volatile memory (non-volatile memory), such as at least one disk memory;

[0144] The memory stores a program, and the processor can call the program stored in the memory, wherein the program is used to:

[0145] Obtain the vibration signal of the high-frequency transformer through a vibration sensor;

[0146] Performing a fast Fourier transform on the vibration signal to obtain vibration amplitudes at multiple frequencies;

[0147] Based on the vibration amplitude at each frequency, calculate the frequency proportion and the maximum frequency energy proportion;

[0148] Calculating the vibration information entropy of the vibration signal according to the frequency proportion and the maximum frequency energy proportion;

[0149] The fault state of the high-frequency transformer is diagnosed using the vibration information entropy.

[0150] Optionally, the detailed functions and extended functions of the program may refer to the above description.

[0151] An embodiment of the present application further provides a storage medium, which may store a program suitable for execution by a processor, wherein the program is used to:

[0152] Obtain the vibration signal of the high-frequency transformer through a vibration sensor;

[0153] Performing a fast Fourier transform on the vibration signal to obtain vibration amplitudes at multiple frequencies;

[0154] Based on the vibration amplitude at each frequency, calculate the frequency proportion and the maximum frequency energy proportion;

[0155] Calculating the vibration information entropy of the vibration signal according to the frequency proportion and the maximum frequency energy proportion;

[0156] The fault state of the high-frequency transformer is diagnosed using the vibration information entropy.

[0157] Optionally, the detailed functions and extended functions of the program may refer to the above description.

[0158] Finally, it should be noted that, in this document, relational terms such as first and second, etc., are used only to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any actual relationship or order between these entities or operations. Moreover, the terms "comprises," "comprising," or any other variations thereof are intended to cover non-exclusive inclusion, such that a process, method, article, or device comprising a series of elements includes not only those elements, but also other elements not explicitly listed, or elements inherent to such process, method, article, or device. In the absence of further limitations, an element defined by the phrase "comprising a ..." does not exclude the presence of additional identical elements in the process, method, article, or device comprising the element.

[0159] The various embodiments in this specification are described in a progressive manner, and each embodiment focuses on the differences from other embodiments. The various embodiments can be combined as needed, and the same or similar parts can be referenced to each other.

[0160] The above description of the disclosed embodiments is intended to enable one skilled in the art to implement or use the present application. Various modifications to these embodiments will be readily apparent to one skilled in the art, and the general principles defined herein may be implemented in other embodiments without departing from the spirit or scope of the present application. Therefore, the present application is not limited to the embodiments shown herein, but is intended to conform to the widest scope consistent with the principles and novel features disclosed herein.

Claims

1. A method for diagnosing hidden dangers of high-frequency transformers, characterized in that: include: Obtain the vibration signal of the high-frequency transformer through a vibration sensor; Performing a fast Fourier transform on the vibration signal to obtain vibration amplitudes at multiple frequencies; Based on the vibration amplitude at each frequency, calculate the frequency proportion and the maximum frequency energy proportion; Calculating the vibration information entropy of the vibration signal according to the frequency proportion and the maximum frequency energy proportion; The fault state of the high-frequency transformer is diagnosed using the vibration information entropy.

2. The method according to claim 1, characterized in that Diagnosing the fault state of the high-frequency transformer by using the vibration information entropy includes: If the vibration information entropy is not higher than the first entropy threshold, determining that the fault state of the high-frequency transformer is free of potential fault hazards; If the vibration information entropy is higher than the first entropy threshold and not higher than the second entropy threshold, it is determined that the fault state of the high-frequency transformer is a potential fault, and the second entropy threshold is greater than the first entropy threshold; If the vibration information entropy is higher than the second entropy threshold, it is determined that the fault state of the high-frequency transformer is a serious fault.

3. The method according to claim 1, characterized in that The calculation of the frequency proportion and the maximum frequency energy proportion based on the vibration amplitude at each frequency includes: The frequency proportion is calculated using the first formula, which is: in, is the frequency ratio, f is the frequency, is the vibration amplitude at frequency f; The maximum frequency energy ratio is calculated using the second formula, which is: in, is the maximum frequency energy proportion, is the vibration amplitude at the maximum frequency.

4. The method according to claim 3, characterized in that Calculating the vibration information entropy of the vibration signal according to the frequency proportion and the maximum frequency energy proportion includes: The vibration information entropy of the vibration signal is calculated using the third formula, which is: in, is the vibration information entropy of the vibration signal.

5. The method according to claim 1, characterized in that Before diagnosing the fault state of the high-frequency transformer by using the vibration information entropy, the method further includes: Obtaining a vibration information entropy load current variation curve, where the vibration information entropy load current variation curve is obtained by fitting based on test vibration information entropies measured at a plurality of load currents of the high-frequency transformer; The vibration information entropy is corrected according to the vibration information entropy load current variation curve to obtain a corrected vibration information entropy.

6. The method according to any one of claims 1 to 5, characterized in that The vibration sensor is a vibration acceleration sensor, and a plurality of the vibration sensors are installed on the iron core and winding surface of the high-frequency transformer.

7. A device for diagnosing hidden dangers of high-frequency transformers, characterized in that: include: A vibration signal acquisition unit, configured to acquire a vibration signal of the high-frequency transformer through a vibration sensor; a fast Fourier transform unit, configured to perform a fast Fourier transform on the vibration signal to obtain vibration amplitudes at multiple frequencies; A frequency weight capacity ratio calculation unit is used to calculate the frequency weight and the maximum frequency energy ratio based on the vibration amplitude at each frequency; a vibration information entropy calculation unit, configured to calculate the vibration information entropy of the vibration signal according to the frequency proportion and the maximum frequency energy proportion; A fault status diagnosis unit is used to diagnose the fault status of the high-frequency transformer through the vibration information entropy.

8. The device according to claim 7, characterized in that The fault status diagnosis unit includes: a first fault status diagnosis subunit, configured to determine that the fault status of the high-frequency transformer is free of potential fault hazards if the vibration information entropy is not higher than a first entropy threshold; a second fault status diagnosis subunit, configured to determine that the fault status of the high-frequency transformer is a potential fault if the vibration information entropy is higher than the first entropy threshold and not higher than a second entropy threshold, and the second entropy threshold is greater than the first entropy threshold; The third fault status diagnosis subunit is configured to determine that the fault status of the high-frequency transformer is a serious fault if the vibration information entropy is higher than the second entropy threshold.

9. A high-frequency transformer fault hidden danger diagnosis device, characterized in that: including memory and processor; The memory is used to store programs; The processor is used to execute the program to implement the various steps of the method for diagnosing hidden dangers of high-frequency transformer faults as described in any one of claims 1 to 6.

10. A storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, each step of the method for diagnosing hidden dangers of high-frequency transformer faults according to any one of claims 1 to 6 is implemented.

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