Dry-type reactor fault diagnosis method and system based on pulse time-frequency domain analysis

Abstract

The present invention provides a dry-type reactor fault diagnosis method and system based on pulse time-frequency domain analysis, comprising: applying a pulse incident signal to a test dry-type reactor to obtain a reflected signal and a response signal, wherein the response signal includes a head-end response signal and a tail-end response signal; performing denoising processing on the reflected signal and the response signal to obtain a denoised reflected signal and a denoised response signal, respectively; extracting a first characteristic quantity and a second characteristic quantity based on the denoised response signal and the denoised reflected signal, respectively, and obtaining a determination characteristic quantity based on the first characteristic quantity and the second characteristic quantity; obtaining a calibrated characteristic quantity of a standard dry-type reactor, obtaining a characteristic quantity variation amplitude based on the determination characteristic quantity and the calibrated characteristic quantity, and determining the fault degree of the test dry-type reactor based on the characteristic quantity variation amplitude. The dry-type reactor fault diagnosis method based on pulse time-frequency domain analysis provided by the present invention can improve the detection accuracy of dry-type reactor inter-turn short-circuit faults and make the detection of fault conditions more comprehensive.

Description

Technical Field

[0001] The present invention relates to the technical field of dry-type reactor inter-turn short-circuit fault detection, and in particular to a dry-type reactor fault diagnosis method and system based on pulse time-frequency domain analysis. Background Art

[0002] With the increasing inductive loads in power systems, my country's power grid system demand for reactive power is also increasing. Therefore, devices such as reactors are needed to regulate and compensate for the grid's reactive power. Among various types of reactors, high-voltage dry-type air-core reactors (dry-type reactors) are widely used in power grids due to their simple structure, good reactance linearity, light weight, relatively low equipment cost, and easy installation and maintenance. They are a key component of converter stations. In actual operation, reactors often experience various types of faults, the most typical of which is interturn short-circuit faults. Interturn short-circuit faults can pose safety risks to surrounding electrical equipment and cause significant economic losses. Therefore, research on sensitive detection of interturn short-circuit faults in dry-type reactors is of great practical significance.

[0003] The traveling wave method, used in the electrical field, locates electrical equipment faults based on the principles of traveling wave refraction and reflection and traveling wave transmission theory. Due to its simple principle and high ranging accuracy, it is widely used. With the continuous development and improvement of the traveling wave method, the use of traveling wave technology to detect inter-turn short-circuit faults in generator windings has become a hot topic in recent years. New detection methods such as the repetitive pulse method and single-ended fault detection method have also been proposed based on this technology. However, traditional repetitive pulse and single-ended fault detection methods only analyze the signal processing at one end, often resulting in large errors in the analysis results. Furthermore, they cannot determine the fault severity of dry-type reactors or fully understand the inter-turn insulation status of dry-type reactors.

[0004] In summary, in the prior art, when detecting inter-turn short-circuit faults of dry-type reactors, there are technical problems such as low detection accuracy and incomplete detection of fault states. Summary of the Invention

[0005] In view of this, it is necessary to provide a dry-type reactor fault diagnosis method and system based on pulse time-frequency domain analysis, which can solve the technical problems in the existing technology of low detection accuracy and incomplete fault status detection when detecting inter-turn short-circuit faults of dry-type reactors.

[0006] In order to solve the above technical problems, on the one hand, the present invention provides a dry-type reactor fault diagnosis method based on pulse time-frequency domain analysis, comprising:

[0007] Apply pulse signal to the test dry-type reactor to obtain reflection signal and response signal;

[0008] Performing denoising on the reflection signal and the response signal to obtain a denoised reflection signal and a denoised response signal, respectively;

[0009] extracting a first feature quantity and a second feature quantity based on the denoised response signal and the denoised reflection signal, respectively, and obtaining a determination feature quantity based on the first feature quantity and the second feature quantity;

[0010] A calibration characteristic quantity of a standard dry-type reactor is obtained, a characteristic quantity variation range is obtained according to the determination characteristic quantity and the calibration characteristic quantity, and a fault degree of the test dry-type reactor is determined based on the characteristic quantity variation range.

[0011] In some possible implementations, the step of obtaining the reflection signal and the response signal further includes: isolating the pulse incident signal through a bidirectional coupler.

[0012] In some possible implementations, performing denoising on the reflection signal and the response signal to obtain a denoised reflection signal and a denoised response signal, respectively, includes:

[0013] The reflection signal, the head-end response signal and the end-end response signal are denoised based on an empirical mode decomposition algorithm to obtain a denoised reflection signal, a denoised head-end response signal and a denoised end-end response signal.

[0014] In some possible implementations, extracting a first feature quantity and a second feature quantity based on the denoised response signal and the denoised reflection signal, respectively, and obtaining a determination feature quantity based on the first feature quantity and the second feature quantity includes:

[0015] Acquire a first feature value based on a wavefront time ratio of the denoised head-end response signal and the denoised tail-end response signal;

[0016] Performing frequency domain analysis on the denoised reflected signal to obtain a spectrum graph, and performing frequency domain integration based on the spectrum graph to obtain a second feature value;

[0017] The product of the first feature amount and the second feature amount is adopted as the determination feature amount.

[0018] In some possible implementations, the first characteristic quantity and the second characteristic quantity are both dimensionless quantities.

[0019] In some possible implementations, obtaining a characteristic value variation range according to the determined characteristic value and the calibrated characteristic value, and determining the fault degree of the tested dry-type reactor based on the characteristic value variation range include:

[0020] According to the determination feature P w and calibration feature quantities P o Calculate the variation of characteristic quantityη :

[0021]

[0022] According to the variation range of the characteristic amount η If the value exceeds the set threshold, it is determined that the test dry-type reactor has failed, and the characteristic value is changed according to the amplitude of the change η The size of the value divides the fault severity.

[0023] In some possible implementations, the characteristic value variation range is η If the value exceeds the set threshold, it is determined that the test dry-type reactor has failed, and the characteristic value is changed according to the amplitude of the change η The value of is divided into the severity of the fault, including:

[0024] when η ∈[0, 0.02], it is determined that the test dry-type reactor is in a normal working state;

[0025] when η ∈[0.02, 0.08], it is determined that the test dry-type reactor is slightly faulty;

[0026] when η ∈[0.08, 0.15], the test dry-type reactor is judged to be a moderate fault;

[0027] when η >0.15, the dry-type reactor under test is judged to be in a serious fault.

[0028] On the other hand, the present invention also provides a dry-type reactor fault diagnosis system based on pulse time-frequency domain analysis, which is characterized by comprising:

[0029] A signal generating module is used to apply a pulse signal to the test dry-type reactor and obtain a reflection signal and a response signal;

[0030] a signal processing module, configured to perform denoising on the reflection signal and the response signal to obtain a denoised reflection signal and a denoised response signal, respectively;

[0031] a feature extraction module, configured to extract a first feature quantity and a second feature quantity based on the denoised response signal and the denoised reflection signal, respectively, and obtain a determination feature quantity based on the first feature quantity and the second feature quantity;

[0032] The fault judgment module is used to obtain the calibration characteristic quantity of the standard dry-type inductor, obtain the characteristic quantity change amplitude according to the judgment characteristic quantity and the calibration characteristic quantity, and determine the fault degree of the test dry-type inductor based on the characteristic quantity change amplitude.

[0033] On the other hand, the present invention also provides an electronic device, including a processor and a memory, wherein a computer program is stored on the memory. When the computer program is executed by the processor, the dry-type inductor fault diagnosis method based on pulse time-frequency domain analysis described in the above implementation method is implemented.

[0034] Finally, the present invention also provides a storage medium storing computer program instructions. When the computer program instructions are executed by a computer, the computer executes the dry-type reactor fault diagnosis method based on pulse time-frequency domain analysis described in the above implementation method.

[0035] The beneficial effects of adopting the above-mentioned embodiment are as follows: the dry-type inductor fault diagnosis method based on pulse time-frequency domain analysis provided by the present invention, on the one hand, by using a coupler to isolate the incident signal and the reflected signal, can effectively eliminate the influence of the incident signal on the detection result in the traditional analysis method, so that the subsequent extracted analysis signal is more accurate; on the other hand, the comprehensive utilization of the time-frequency domain characteristics of the response signals at both the input and output ends can effectively improve the fault diagnosis accuracy compared with the traditional method of only analyzing the signal at one end; finally, the severity of the dry-type inductor inter-turn short-circuit fault is effectively divided by the amplitude of the characteristic value change, so that the inter-turn insulation state of the dry-type inductor can be more comprehensively grasped. BRIEF DESCRIPTION OF THE DRAWINGS

[0036] In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the following briefly introduces the drawings required for use in the description of the embodiments. Obviously, the drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative work.

[0037] Figure 1 A flow chart of an embodiment of a dry-type reactor fault diagnosis method based on pulse time-frequency domain analysis provided by the present invention;

[0038] Figure 2 A schematic diagram of an embodiment of a test environment provided by the present invention;

[0039] Figure 3 The present invention provides Figure 1 A flow chart of an embodiment of step S103;

[0040] Figure 4 A method flow chart of an embodiment of a dry-type reactor fault diagnosis system based on pulse time-frequency domain analysis provided by the present invention;

[0041] Figure 5 This is a structural diagram of an embodiment of an electronic device provided by the present invention. DETAILED DESCRIPTION

[0042] 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 some embodiments of the present invention, not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without making any creative efforts shall fall within the scope of protection of the present invention.

[0043] It should be understood that the schematic drawings are not drawn to scale. The flowcharts used in the present invention illustrate operations implemented according to some embodiments of the present invention. It should be understood that the operations in the flowcharts may be implemented out of sequence, and steps that do not have a logical contextual relationship may be reversed or performed simultaneously. In addition, those skilled in the art, guided by the present disclosure, may add one or more additional operations to the flowcharts or remove one or more operations from the flowcharts.

[0044] Some of the blocks shown in the accompanying drawings are functional entities that do not necessarily correspond to physically or logically independent entities. These functional entities may be implemented in software, in one or more hardware modules or integrated circuits, or in different networks and / or processor systems and / or microcontroller systems.

[0045] References herein to "embodiments" mean that a particular feature, structure, or characteristic described in connection with the embodiments may be included in at least one embodiment of the present invention. The appearance of this phrase in various places in the specification does not necessarily refer to the same embodiment, nor does it constitute a separate or alternative embodiment that is mutually exclusive of other embodiments. It is understood, both explicitly and implicitly, by those skilled in the art that the embodiments described herein may be combined with other embodiments.

[0046] The specific embodiments are described in detail below. It should be noted that the description order of the following embodiments does not limit the preferred order of the embodiments.

[0047] The embodiments of the present invention provide a dry-type reactor fault diagnosis method and system based on pulse time-frequency domain analysis.

[0048] like Figure 1 As shown, Figure 1 This is a flow chart of an embodiment of a dry-type reactor fault diagnosis method based on pulse time-frequency domain analysis provided by the present invention. The dry-type reactor fault diagnosis method based on pulse time-frequency domain analysis includes:

[0049] S101, applying a pulse incident signal to a test dry-type reactor to obtain a reflected signal and a response signal, wherein the response signal includes a head-end response signal and a tail-end response signal;

[0050] S102, performing denoising processing on the reflection signal and the response signal to obtain a denoised reflection signal and a denoised response signal, respectively;

[0051] S103, extracting a first feature quantity and a second feature quantity based on the denoised response signal and the denoised reflection signal, respectively, and obtaining a determination feature quantity based on the first feature quantity and the second feature quantity;

[0052] S104 , obtaining a calibrated characteristic quantity of a standard dry-type reactor, obtaining a characteristic quantity variation range according to the determination characteristic quantity and the calibrated characteristic quantity, and determining a fault degree of the test dry-type reactor based on the characteristic quantity variation range.

[0053] Compared with the prior art, the dry-type reactor fault diagnosis method based on pulse time-frequency domain analysis provided by the embodiment of the present invention, on the one hand, comprehensively utilizes the time-frequency domain characteristics of the response signals at both the input and output ends, which can effectively improve the fault diagnosis accuracy compared with the traditional method of only analyzing the signal at one end; finally, the severity of the dry-type reactor inter-turn short-circuit fault is effectively divided by the amplitude of the characteristic quantity change, which can more comprehensively grasp the inter-turn insulation status of the dry-type reactor.

[0054] In a specific embodiment of the present invention, a test environment needs to be built before testing. Figure 2 As shown, Figure 2 This is a schematic diagram of an embodiment of a test environment provided by the present invention. The purpose of establishing the test environment is to quickly implement the dry-type reactor fault diagnosis method based on pulse time-frequency domain analysis provided by an embodiment of the present invention. Establishing the test environment includes:

[0055] Connect the input end of the pulse signal source 201 to the input end of the bidirectional coupler 202, connect the through end of the bidirectional coupler 202 to the incoming arm 204 of the dry-type inductor 203, connect the isolation end of the bidirectional coupler 202 to the signal input end of the high-speed acquisition card 208, install voltage probes 206 and 207 at the incoming arm 204 and the outgoing arm 205 and connect them to the signal input end of the high-speed acquisition card 208, and connect the data transmission end of the high-speed acquisition card 208 to the signal processing unit 209.

[0056] In step S101, a pulse incident signal is applied to the dry-type inductor to be tested through a pulse signal source, and a bidirectional coupler is used to isolate the incident signal and the reflected signal. This can effectively eliminate the influence of the incident signal on the detection result in the traditional analysis method, making the extracted analysis signal more accurate.

[0057] It should be noted that, in step S104 , the calibration characteristic quantity of the standard dry-type reactor is obtained by adopting the same method as steps S101 to S103 .

[0058] Furthermore, in some embodiments of the present invention, in step S102, the reflection signal, the head-end response signal and the end-end response signal are denoised based on an empirical mode decomposition algorithm to obtain denoised reflection signals, denoised head-end response signals and denoised end-end response signals, respectively.

[0059] Among them, empirical mode decomposition is a key step in the Hilbert-Huang transform. The advantages of this method are strong adaptability and high data decomposition efficiency. The empirical mode decomposition method decomposes the original signal into a finite number of intrinsic mode functions, obtains the upper and lower envelopes to find the signal mean, and uses the empirical mode to subtract the remainder to ultimately achieve signal denoising. The main denoising method can be seen in the following formula:

[0060]

[0061] Where, e i ( t ) is an intrinsic mode function, h n ( t ) is the residual component. The finite intrinsic mode functions are removed from the residual components and then integrated together to complete the denoising step.

[0062] Furthermore, in some embodiments of the present invention, Figure 3 As shown, Figure 3 The present invention provides Figure 1 The flowchart of step S103 in the embodiment of FIG. 1 is shown, and step S103 includes:

[0063] S301: Obtain a first feature value based on a wavefront time ratio between the denoised head-end response signal and the denoised tail-end response signal;

[0064] S302, performing frequency domain analysis on the denoised reflected signal to obtain a spectrum, and performing frequency domain integration based on the spectrum to obtain a second feature value;

[0065] S303: Use the product of the first feature value and the second feature value as the determination feature value.

[0066] In a specific embodiment of the present invention, since the propagation of traveling waves in the winding is divided into two directions: propagation along the winding conductor and propagation between turns, the response signal extracted at the tail end is relatively messy and it is difficult to find specific features. Therefore, the wave head starting ratio of the head end response signal and the tail end response signal is selected as the first feature quantity, that is, the time it takes for the head end injection pulse to propagate in the winding:

[0067]

[0068] Where, P1 is the first feature value, t e is the start time of the terminal response signal, t h is the start time of the head-end response signal. P 1 is dimensionless and becomes a dimensionless quantity.

[0069] When a dry-type reactor experiences an inter-turn short-circuit fault, firstly, since the inter-turn short-circuit fault point is equivalent to an impedance mutation point, the refraction and reflection pattern of the traveling wave in the winding will change accordingly, which will cause a certain change in the reflected response signal extracted at the head end. Secondly, due to the complex transmission process in the winding, it is often difficult to find a pattern by analyzing the response signal only in the time domain. Therefore, the present invention analyzes the reflected signal in the frequency domain and integrates the reflected signal spectrum to extract the second characteristic quantity:

[0070]

[0071] Where, P 2 is the second characteristic value, x ( t ) is the reflected signal. P 2 is processed dimensionlessly to become a dimensionless quantity.

[0072] Traveling wave measurement methods used in the past for electrical equipment fault detection often only perform time domain analysis or frequency domain analysis on the response signal, which is prone to low sensitivity and low accuracy. To improve detection sensitivity and accuracy, the present invention combines time domain and frequency domain analysis to diagnose dry-type reactor turn-to-turn short-circuit faults, using the product of the first characteristic quantity and the second characteristic quantity as the judgment characteristic quantity:

[0073]

[0074] Where, P w To determine the feature quantity.

[0075] The embodiments of the present invention can effectively improve the accuracy of fault diagnosis by comprehensively utilizing the time-frequency domain characteristics of the response signals at both the input and output ends, compared with the traditional method of analyzing only one end of the signal.

[0076] Furthermore, in some embodiments of the present invention, in step S104:

[0077] The calibration characteristic quantity of the standard dry-type reactor is obtained by adopting the same method from step S101 to S103, which is recorded as P o .

[0078] According to the determination feature Pw and calibration feature quantities P o Calculate the variation of characteristic quantity η :

[0079]

[0080] According to the variation range of the characteristic amount η If the value exceeds the set threshold, it is determined that the test dry-type reactor has failed, and the characteristic value is changed according to the amplitude of the change η The size of the value divides the fault severity.

[0081] Among them, when η ∈[0, 0.02], it is determined that the test dry-type reactor is in a normal working state;

[0082] when η ∈[0.02, 0.08], it is determined that the test dry-type reactor is slightly faulty;

[0083] when η ∈[0.08, 0.15], the test dry-type reactor is judged to be a moderate fault;

[0084] when η >0.15, the dry-type reactor under test is judged to be in a serious fault.

[0085] The embodiment of the present invention effectively divides the severity of the dry-type reactor's inter-turn short-circuit fault by the amplitude of the characteristic quantity change, and can more comprehensively grasp the inter-turn insulation state of the dry-type reactor.

[0086] The dry-type reactor fault diagnosis method based on pulse time-frequency domain analysis provided by the embodiment of the present invention can effectively detect the inter-turn insulation problem of the dry-type reactor, predict the initial inter-turn short-circuit fault, facilitate early processing, and improve the safety and reliability of the dry-type reactor operation.

[0087] In order to better implement the dry-type reactor fault diagnosis method based on pulse time-frequency domain analysis in the embodiment of the present invention, on the basis of the dry-type reactor fault diagnosis method based on pulse time-frequency domain analysis, the embodiment of the present invention also provides a dry-type reactor fault diagnosis system based on pulse time-frequency domain analysis, such as Figure 4 As shown, the dry-type reactor fault diagnosis system 400 based on pulse time-frequency domain analysis includes:

[0088] The signal generating module 401 is used to apply a pulse incident signal to the test dry-type reactor to obtain a reflected signal and a response signal, wherein the response signal includes a head-end response signal and a tail-end response signal;

[0089] A signal processing module 402 is configured to perform denoising on the reflection signal and the response signal to obtain a denoised reflection signal and a denoised response signal, respectively;

[0090] A feature extraction module 403 is configured to extract a first feature quantity and a second feature quantity based on the denoised response signal and the denoised reflection signal, respectively, and obtain a determination feature quantity based on the first feature quantity and the second feature quantity;

[0091] The fault judgment module 404 is used to obtain a calibrated characteristic value of a standard dry-type reactor, obtain a characteristic value variation range according to the judgment characteristic value and the calibrated characteristic value, and determine the fault degree of the test dry-type reactor based on the characteristic value variation range.

[0092] The dry-type inductor fault diagnosis system 400 based on pulse time-frequency domain analysis provided in the above embodiment can implement the technical solution described in the above embodiment of the dry-type inductor fault diagnosis method based on pulse time-frequency domain analysis. The specific implementation principles of the above modules or units can be found in the corresponding contents in the above embodiment of the dry-type inductor fault diagnosis method based on pulse time-frequency domain analysis, which will not be repeated here.

[0093] like Figure 5 As shown, the present invention also provides an electronic device 500. The electronic device 500 includes a processor 501, a memory 502 and a display 503. Figure 5 Only some of the components of the electronic device 500 are shown, but it should be understood that implementation of all of the shown components is not required, and more or fewer components may be implemented instead.

[0094] In some embodiments, the processor 501 may be a central processing unit (CPU), a microprocessor, or other data processing chip, configured to execute program codes or process data stored in the memory 502, such as the dry-type reactor fault diagnosis program based on pulse time-frequency domain analysis in the present invention.

[0095] In some embodiments, processor 501 may be a single server or a server group. The server group may be centralized or distributed. In some embodiments, processor 501 may be local or remote. In some embodiments, processor 501 may be implemented on a cloud platform. In one embodiment, the cloud platform may include a private cloud, a public cloud, a hybrid cloud, a community cloud, a distributed cloud, an on-premises cloud, a multi-cloud, or any combination thereof.

[0096] In some embodiments, the memory 502 may be an internal storage unit of the electronic device 500, such as a hard disk or memory of the electronic device 500. In other embodiments, the memory 502 may also be an external storage device of the electronic device 500, such as a plug-in hard disk, a smart media card (SMC), a secure digital (SD) card, a flash card, etc. equipped on the electronic device 500.

[0097] Furthermore, the memory 502 may include both an internal storage unit of the electronic device 500 and an external storage device. The memory 502 is used to store application software installed in the electronic device 500 and various data.

[0098] In some embodiments, display 503 can be an LED display, a liquid crystal display, a touch-sensitive liquid crystal display, or an OLED (Organic Light-Emitting Diode) touchscreen. Display 503 is used to display information on electronic device 500 and to display a visual user interface. Components 501-503 of electronic device 500 communicate with each other via a system bus.

[0099] In one embodiment, when the processor 501 executes the dry-type reactor fault diagnosis program based on pulse time-frequency domain analysis in the memory 502, the following steps may be implemented:

[0100] Applying a pulse incident signal to the test dry-type reactor to obtain a reflected signal and a response signal, wherein the response signal includes a first-end response signal and a terminal response signal;

[0101] Performing denoising on the reflection signal and the response signal to obtain a denoised reflection signal and a denoised response signal, respectively;

[0102] extracting a first feature quantity and a second feature quantity based on the denoised response signal and the denoised reflection signal, respectively, and obtaining a determination feature quantity based on the first feature quantity and the second feature quantity;

[0103] A calibration characteristic quantity of a standard dry-type reactor is obtained, a characteristic quantity variation range is obtained according to the determination characteristic quantity and the calibration characteristic quantity, and a fault degree of the test dry-type reactor is determined based on the characteristic quantity variation range.

[0104] It should be understood that, when the processor 501 executes the dry-type reactor fault diagnosis program based on pulse time-frequency domain analysis in the memory 502 , in addition to the above functions, it can also implement other functions. For details, please refer to the description of the corresponding method embodiment above.

[0105] Furthermore, the embodiment of the present invention does not specifically limit the type of the electronic device 500 mentioned. The electronic device 500 may be a portable electronic device such as a mobile phone, a tablet computer, a personal digital assistant (PDA), a wearable device, a laptop computer, or the like. Exemplary embodiments of portable electronic devices include, but are not limited to, portable electronic devices equipped with IOS, Android, Microsoft, or other operating systems. The above-mentioned portable electronic devices may also be other portable electronic devices, such as a laptop computer with a touch-sensitive surface (e.g., a touch panel). It should also be understood that in some other embodiments of the present invention, the electronic device 500 may not be a portable electronic device, but a desktop computer with a touch-sensitive surface (e.g., a touch panel).

[0106] Accordingly, an embodiment of the present application also provides a computer-readable storage medium, which is used to store computer-readable programs or instructions. When the program or instructions are executed by a processor, it can implement the steps or functions of the dry-type inductor fault diagnosis method based on pulse time-frequency domain analysis provided in the above-mentioned method embodiments.

[0107] Those skilled in the art will appreciate that all or part of the process flow of the above-described method embodiment can be implemented by instructing related hardware (such as a processor, controller, etc.) through a computer program, and the computer program can be stored in a computer-readable storage medium. The computer-readable storage medium may be a magnetic disk, an optical disk, a read-only memory, or a random access memory.

[0108] The above is a detailed introduction to the dry-type inductor fault diagnosis method, system, equipment and medium based on pulse time-frequency domain analysis provided by the present invention. Specific examples are used in this article to illustrate the principles and implementation methods of the present invention. The description of the above embodiments is only used to help understand the method of the present invention and its core ideas. At the same time, for those skilled in the art, according to the ideas of the present invention, there will be changes in the specific implementation methods and application scope. In summary, the content of this specification should not be understood as limiting the present invention.

Claims

1. A dry-type reactor fault diagnosis method based on pulse time-frequency domain analysis, characterized in that: include: Applying a pulse incident signal to the test dry-type reactor to obtain a reflected signal and a response signal, wherein the response signal includes a first-end response signal and a terminal response signal; Performing denoising on the reflection signal and the response signal to obtain a denoised reflection signal and a denoised response signal, respectively; Obtaining a first characteristic value based on a wavefront time ratio between the head-end response signal and the denoised end-end response signal, performing frequency domain analysis on the denoised reflection signal to obtain a spectrum, performing frequency domain integration on the spectrum to obtain a second characteristic value, and using the product of the first characteristic value and the second characteristic value as a determination characteristic value; A calibration characteristic quantity of a standard dry-type reactor is obtained, a characteristic quantity variation range is obtained according to the determination characteristic quantity and the calibration characteristic quantity, and a fault degree of the test dry-type reactor is determined based on the characteristic quantity variation range.

2. The dry-type reactor fault diagnosis method based on pulse time-frequency domain analysis according to claim 1 is characterized in that: The method of obtaining the reflection signal and the response signal further includes: isolating the pulse incident signal through a bidirectional coupler.

3. The dry-type reactor fault diagnosis method based on pulse time-frequency domain analysis according to claim 1 is characterized in that: The denoising process is performed on the reflection signal and the response signal to obtain a denoised reflection signal and a denoised response signal, respectively, including: The reflection signal, the head-end response signal and the end-end response signal are denoised based on an empirical mode decomposition algorithm to obtain a denoised reflection signal, a denoised head-end response signal and a denoised end-end response signal.

4. The dry-type reactor fault diagnosis method based on pulse time-frequency domain analysis according to claim 1 is characterized in that: The first characteristic quantity and the second characteristic quantity are both dimensionless quantities.

5. The dry-type reactor fault diagnosis method based on pulse time-frequency domain analysis according to claim 1 is characterized in that: The step of obtaining a characteristic value variation range according to the determined characteristic value and the calibrated characteristic value, and determining a fault degree of the tested dry-type reactor based on the characteristic value variation range, includes: According to the determination feature P w and calibration feature quantities P o Calculate the variation of characteristic quantity η : According to the variation range of the characteristic amount η If the value exceeds the set threshold, it is determined that the test dry-type reactor has failed, and the characteristic value is changed according to the amplitude of the change η The size of the value divides the fault severity.

6. The dry-type reactor fault diagnosis method based on pulse time-frequency domain analysis according to claim 1 is characterized in that: The feature quantity variation range η If the value exceeds the set threshold, it is determined that the test dry-type reactor has failed, and the characteristic value is changed according to the amplitude of the change η The value of is divided into the severity of the fault, including: when η ∈[0, 0.02], it is determined that the test dry-type reactor is in a normal working state; when η ∈[0.02, 0.08], it is determined that the test dry-type reactor is slightly faulty; when η ∈[0.08, 0.15], the test dry-type reactor is judged to be a moderate fault; when η >0.15, the dry-type reactor under test is judged to be in a serious fault.

7. A dry-type reactor fault diagnosis system based on pulse time-frequency domain analysis, characterized in that: include: A signal generating module is used to apply a pulse incident signal to the test dry-type reactor to obtain a reflected signal and a response signal, wherein the response signal includes a head-end response signal and a terminal response signal; a signal processing module, configured to perform denoising on the reflection signal and the response signal to obtain a denoised reflection signal and a denoised response signal, respectively; a feature extraction module configured to obtain a first feature quantity based on a wavefront time ratio between a denoised head-end response signal and a denoised tail-end response signal, perform frequency domain analysis on the denoised reflection signal to obtain a spectrum, perform frequency domain integration based on the spectrum to obtain a second feature quantity, and use the product of the first feature quantity and the second feature quantity as a determination feature quantity; The fault judgment module is used to obtain the calibration characteristic quantity of the standard dry-type inductor, obtain the characteristic quantity change amplitude according to the judgment characteristic quantity and the calibration characteristic quantity, and determine the fault degree of the test dry-type inductor based on the characteristic quantity change amplitude.

8. An electronic device, characterized in that: The method comprises a processor and a memory, wherein a computer program is stored in the memory, and when the computer program is executed by the processor, the dry-type reactor fault diagnosis method based on pulse time-frequency domain analysis according to any one of claims 1 to 6 is implemented.

9. A storage medium, characterized in that: The storage medium stores computer program instructions, which, when executed by a computer, enable the computer to execute the dry-type reactor fault diagnosis method based on pulse time-frequency domain analysis according to any one of claims 1 to 6.

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