Downlead fault detection method and device, and computer program product

By transmitting high-speed pulse signals on the downline of the wind turbine and collecting reflected signals for waveform analysis, the problem of low fault detection efficiency in the existing technology is solved, and fast and accurate fault detection is achieved, meeting the operation and maintenance needs of deep-sea wind farms.

CN119844307AInactive Publication Date: 2025-04-18HUANENG (ZHEJIANG) ENERGY DEV CO LTD +4
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Patent Information

Application Number
CN202411906524.7
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2024-12-23
Publication Date
2025-04-18
Estimated Expiration
Not applicable · inactive patent

AI Technical Summary

Technical Problem

The prior art is difficult to efficiently detect down-line failures of wind turbines, especially in deep-sea wind farms. Traditional detection methods take a long time and are highly risky in operation, making it difficult to meet operation and maintenance needs.

Method used

By transmitting high-speed pulse signals at the starting end of the downline of the wind turbine, and collecting reflected pulse signals generated during the transmission process, waveform data analysis is performed to determine the fault detection results of the downline.

Benefits of technology

It realizes rapid and accurate detection of downline faults of wind turbines, improves fault detection efficiency, and reduces operation and maintenance difficulties.

✦ Generated by Eureka AI based on patent content.

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Abstract

The invention discloses a fault detection method and device of a down lead and a computer program product, and relates to the technical field of wind power generation, the fault detection method of the down lead is applied to a down lead detector of a wind driven generator, the down lead detector is connected with a hub of the wind driven generator, and the hub is connected with a blade root of the wind driven generator. The starting end of a downlead of the wind driven generator is located at the root of a blade of the wind driven generator, the tail end of the downlead of the wind driven generator is located at the tip of the blade of the wind driven generator, and the method comprises the steps that a high-speed pulse signal is emitted at the starting end of the downlead of the wind driven generator so that the high-speed pulse signal can be transmitted to the tail end along the starting end; collecting a reflected pulse signal generated in the transmission process of the high-speed pulse signal; and performing waveform data analysis on the reflected pulse signal to determine a fault detection result of the downlead of the wind driven generator. By adopting the technical scheme, the problem of how to improve the fault detection efficiency of the downlead of the wind driven generator is solved.
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Description

Technical Field

[0001] The present application relates to the technical field of wind power generation, and in particular to a method, device and computer program product for detecting a down conductor fault. Background Art

[0002] As offshore wind power is increasingly deployed in the deep sea, the threat of lightning to wind turbines is becoming increasingly prominent. Offshore wind farms are usually located in coastal areas where thunderstorms are more frequent. As the capacity of wind turbines increases, the height of the units also increases accordingly, and the blades become longer, causing serious distortion of the electric field at the tip of the blades, increasing the risk of being struck by lightning. Offshore wind turbines are usually installed in open sea areas, and their height exceeds the surrounding terrain by more than 100 meters, and they are closer to thunderstorm clouds, so they are more susceptible to lightning strikes than onshore wind turbines.

[0003] In order to reduce the damage of lightning strikes to wind turbines, lightning receptors and down conductors are often installed in wind turbine blades to guide lightning currents. Specifically, the lightning receptors on the blades can receive lightning discharges and transfer the current to the root of the blades through the down conductors. The root of the blades is connected to the hub through cables, and then the lightning current is led from the hub to the main frame of the nacelle and the tower through the discharge gap, and finally to the ground. This design can effectively disperse and discharge lightning energy and protect the key components of the wind turbine from damage.

[0004] However, the lightning arrester down conductor of the wind turbine blade may malfunction due to factors such as blade stress changes, environment, aging, etc., such as false connection and circuit breakage. Traditional detection methods, such as using a copper net to cover the tip of the blade for impedance detection, are often time-consuming and dangerous to operate. As wind farms are increasingly moving offshore, it is increasingly difficult to detect down conductor faults through the above operations, and it is difficult to meet the needs of operation and maintenance.

[0005] Therefore, in the related art, there is a problem of how to improve the efficiency of fault detection on the down conductor of the wind turbine.

[0006] In the related art, there is no effective solution to the problem of how to improve the efficiency of fault detection on the down conductor of a wind turbine.

[0007] Therefore, it is necessary to improve the related technology to overcome the above-mentioned defects in the related technology. Summary of the invention

[0008] The embodiments of the present application provide a method, device and computer program product for detecting faults in a down conductor, so as to at least solve the problem in the related art of how to improve the efficiency of fault detection in the down conductor of a wind turbine.

[0009] According to one aspect of an embodiment of the present application, a method for detecting a fault of a down conductor is provided, which is applied to a down conductor detector of a wind turbine, wherein the down conductor detector is connected to a hub of the wind turbine, and the hub is connected to a blade root of the wind turbine generator, and a starting end of the down conductor of the wind turbine is located at the blade root of the wind turbine generator, and a terminal end of the down conductor of the wind turbine is located at the blade tip of the wind turbine generator, comprising: transmitting a high-speed pulse signal at the starting end of the down conductor of the wind turbine so that the high-speed pulse signal is transmitted from the starting end to the terminal end; collecting a reflected pulse signal generated by the high-speed pulse signal during the transmission process; and performing waveform data analysis on the reflected pulse signal to determine a fault detection result of the down conductor of the wind turbine.

[0010] In an exemplary embodiment, collecting the reflected pulse signal generated by the high-speed pulse signal during the transmission process includes: receiving the reflected analog signal generated by the high-speed pulse signal during the transmission process; performing signal amplification processing and signal filtering processing on the reflected analog signal to obtain a processed reflected analog signal; sampling the processed reflected analog signal according to a preset sampling rate to obtain a discrete-time analog signal, and quantizing the discrete-time analog signal to obtain the reflected pulse signal.

[0011] In an exemplary embodiment, the down conductor of the wind turbine includes a first down conductor, a second down conductor, and a third down conductor, and the reflected pulse signal includes a first reflected pulse signal corresponding to the first down conductor, a second reflected pulse signal corresponding to the second down conductor, and a third reflected pulse signal corresponding to the third down conductor. Waveform data analysis is performed on the reflected pulse signal to determine a fault detection result of the down conductor of the wind turbine, including: respectively obtaining a first difference, a second difference, and a third difference, wherein the first difference represents the difference between the waveform data of the first reflected pulse signal and the waveform data of the second reflected pulse signal, the second difference represents the difference between the waveform data of the first reflected pulse signal and the waveform data of the third reflected pulse signal, and the first difference represents the difference between the waveform data of the second reflected pulse signal and the waveform data of the third reflected pulse signal; and determining the fault detection result of the down conductor of the wind turbine according to the first difference, the second difference, and the third difference.

[0012] In an exemplary embodiment, the fault detection result at least indicates whether there is a fault in the down conductor of the wind turbine, and the fault detection result of the down conductor of the wind turbine is determined according to the first difference, the second difference and the third difference, including: when the first difference is determined to be the minimum difference, if the average value of the second difference and the third difference is greater than the first difference, it is determined that there is a fault in the third down conductor; when the second difference is determined to be the minimum difference, if the average value of the first difference and the third difference is greater than the second difference, it is determined that there is a fault in the second down conductor; when the third difference is determined to be the minimum difference, if the average value of the first difference and the second difference is greater than the third difference, it is determined that there is a fault in the first down conductor.

[0013] In an exemplary embodiment, the first difference is obtained by the following formula:

[0014]

[0015] Among them, D AB represents the first difference, E Ai represents the i-th sampling value in the waveform data of the first reflected pulse signal, E Bi represents the i-th sampling value in the waveform data of the second reflected pulse signal, and n represents the number of sampling points.

[0016] In an exemplary embodiment, after performing waveform data analysis on the reflected pulse signal to determine a fault detection result of the down conductor of the wind turbine, the method further includes: when it is determined that the fault detection result indicates that a fault exists in the target down conductor, obtaining waveform data of a target reflected pulse signal corresponding to the target down conductor; obtaining a sampling time of an abnormal sampling value in the waveform data; and determining a fault position of the target down conductor based on a signal propagation speed of the target reflected pulse signal and the sampling time.

[0017] According to another aspect of an embodiment of the present application, a down conductor fault detection device is also provided, including: a transmitting module, used to transmit a high-speed pulse signal at the starting end of the down conductor of a wind turbine so that the high-speed pulse signal is transmitted along the starting end to the end; an acquisition module, used to acquire a reflected pulse signal generated by the high-speed pulse signal during the transmission process; and a determination module, used to perform waveform data analysis on the reflected pulse signal to determine the fault detection result of the down conductor of the wind turbine.

[0018] According to another aspect of the embodiments of the present application, a computer-readable storage medium is provided, in which a computer program is stored, wherein the computer program is configured to execute the above-mentioned down conductor fault detection method when running.

[0019] According to another aspect of the embodiment of the present application, there is also provided an electronic device, including a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor executes the down conductor fault detection method through the computer program.

[0020] According to another aspect of the embodiments of the present application, a computer program product is provided, including a computer program, and when the computer program is executed by a processor, the steps of the method described in each embodiment of the present application are implemented.

[0021] Through the present application, a high-speed pulse signal can be transmitted from the starting end of the down conductor of a wind turbine to the end of the down conductor, and a reflected pulse signal generated during the transmission of the high-speed pulse signal can be collected; the waveform data of the reflected pulse signal can be analyzed to determine whether there is a fault in the down conductor. This solves the problem of how to improve the efficiency of fault detection of the down conductor of a wind turbine in the related art, and achieves the effect of improving the fault detection efficiency of the down conductor. BRIEF DESCRIPTION OF THE DRAWINGS

[0022] The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the present application and, together with the description, serve to explain the principles of the present application.

[0023] In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, for ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative labor.

[0024] Figure 1 It is a hardware structure block diagram of a computer terminal of a method for detecting a down conductor fault in an embodiment of the present application;

[0025] Figure 2 is a flow chart of a down conductor fault detection method according to an embodiment of the present application;

[0026] Figure 3 is a schematic diagram of a down conductor fault detection method according to an embodiment of the present application;

[0027] Figure 4 is a schematic diagram of a down conductor fault detection method according to an embodiment of the present application;

[0028] Figure 5 is a schematic diagram of a down conductor fault detection method according to an embodiment of the present application;

[0029] Figure 6 is a schematic diagram of a down conductor fault detection method according to an embodiment of the present application;

[0030] Figure 7 It is a structural block diagram of a down conductor fault detection device according to an embodiment of the present application. DETAILED DESCRIPTION

[0031] In order to enable those skilled in the art to better understand the solution of the present application, the technical solution in the embodiments of the present application will be clearly and completely described below in conjunction with the drawings in the embodiments of the present application. Obviously, the described embodiments are only part of the embodiments of the present application, not all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by ordinary technicians in this field without creative work should fall within the scope of protection of the present application.

[0032] It should be noted that the terms "first", "second", etc. in the specification and claims of the present application and the above-mentioned drawings are used to distinguish similar objects, and are not necessarily used to describe a specific order or sequence. It should be understood that the data used in this way can be interchangeable where appropriate, so that the embodiments of the present application described herein can be implemented in an order other than those illustrated or described herein. In addition, the terms "including" and "having" and any of their variations are intended to cover non-exclusive inclusions, for example, a process, method, system, product or device comprising a series of steps or units is not necessarily limited to those steps or units clearly listed, but may include other steps or units that are not clearly listed or inherent to these processes, methods, products or devices.

[0033] The method embodiments provided in the embodiments of the present application can be executed in a computer terminal or a similar computing device. Taking running on a computer terminal as an example, Figure 1 1 is a hardware structure block diagram of a computer terminal of a method for detecting a down conductor fault according to an embodiment of the present application. Figure 1 As shown, the computer terminal may include one or more ( Figure 1 Only one is shown in the figure) a processor 102 (the processor 102 may include but is not limited to a processing device such as a microprocessor (Central Processing Unit, MCU) or a programmable logic device (Field Programmable Gate Array, FPGA)) and a memory 104 for storing data, wherein the above-mentioned computer terminal may also include a transmission device 106 and an input and output device 108 for communication functions. It can be understood by those skilled in the art that Figure 1 The structure shown is only for illustration and does not limit the structure of the above-mentioned computer terminal. Figure 1 More or fewer components as shown, or with Figure 1 Different configurations are shown.

[0034] The memory 104 can be used to store computer programs, for example, software programs and modules of application software, such as the computer program corresponding to the fault detection method of the down conductor in the embodiment of the present application. The processor 102 executes various functional applications and data processing by running the computer program stored in the memory 104, that is, to implement the above method. The memory 104 may include a high-speed random access memory, and may also include a non-volatile memory, such as one or more magnetic storage devices, flash memory, or other non-volatile solid-state memory. In some examples, the memory 104 may further include a memory remotely arranged relative to the processor 102, and these remote memories may be connected to the computer terminal via a network. Examples of the above network include, but are not limited to, the Internet, an intranet, a local area network, a mobile communication network, and combinations thereof.

[0035] A wireless network provided by a communication provider of a computer terminal. In one example, the transmission device 106 includes a network adapter (Network Interface Controller, referred to as NIC), which can be connected to other network devices through a base station so as to communicate with the Internet. In one example, the transmission device 106 can be a radio frequency (Radio Frequency, referred to as RF) module, which is used to communicate with the Internet wirelessly.

[0036] In this embodiment, a method for detecting a fault of a down conductor is provided, which is applied to a down conductor detector of a wind turbine generator, wherein the down conductor detector is connected to a hub of the wind turbine generator, and the hub is connected to a blade root of the wind turbine generator. The starting end of the down conductor of the wind turbine generator is located at the blade root of the wind turbine generator, and the end of the down conductor of the wind turbine generator is located at the blade tip of the wind turbine generator. Figure 2 is a flow chart of a method for detecting a fault of a down conductor according to an embodiment of the present application, such as Figure 2 As shown, the process includes the following steps:

[0037] Step S202, transmitting a high-speed pulse signal at the starting end of the down conductor of the wind turbine generator, so that the high-speed pulse signal is transmitted from the starting end to the end;

[0038] Step S204, collecting the reflected pulse signal generated during the transmission of the high-speed pulse signal;

[0039] It should be noted that in the above step S204, the principle of collecting the reflected pulse signal is the time domain reflection principle, that is, when the signal is transmitted in a certain transmission path, when the impedance changes in the transmission path, part of the signal will be reflected, and the other part of the signal will continue to be transmitted along the transmission path. By measuring the voltage amplitude of the reflected wave, the impedance change can be calculated. At the same time, as long as the time value from the reflection point to the signal output point is measured, the position of the impedance change point in the transmission path can be calculated.

[0040] Step S206: performing waveform data analysis on the reflected pulse signal to determine a fault detection result of the down conductor of the wind turbine.

[0041] Optionally, in the above steps, the down conductor detector emits a high-speed pulse signal at one end of the down conductor of the wind turbine blade using the principle of time domain reflection. The signal will be transmitted along the down conductor. If there is no fault in the line, the signal will be absorbed normally; if there is a fault point in the line (such as a short circuit, open circuit, etc.), the impedance of the fault point will change, causing the signal to be reflected back at this point. By collecting and analyzing the reflected pulse signal, the location of the fault point and the type of fault can be calculated.

[0042] Through the above steps, a high-speed pulse signal can be transmitted from the starting end of the down conductor of the wind turbine to the end of the down conductor, and the reflected pulse signal generated during the transmission of the high-speed pulse signal can be collected; the waveform data of the reflected pulse signal can be analyzed to determine whether there is a fault in the down conductor. This solves the problem of how to improve the efficiency of fault detection of the down conductor of the wind turbine in the related art, and achieves the effect of improving the fault detection efficiency of the down conductor.

[0043] In an exemplary embodiment, collecting the reflected pulse signal generated by the high-speed pulse signal during the transmission process includes: receiving the reflected analog signal generated by the high-speed pulse signal during the transmission process; performing signal amplification processing and signal filtering processing on the reflected analog signal to obtain a processed reflected analog signal; sampling the processed reflected analog signal according to a preset sampling rate to obtain a discrete-time analog signal, and quantizing the discrete-time analog signal to obtain the reflected pulse signal.

[0044] Optionally, in the above embodiment, the transmitted signal is generated by the high-speed pulse generation and transmission circuit of the detector. This signal is a digital signal when it is transmitted, but once it enters the down conductor (equivalent to an analog transmission medium), the signal will be converted into an analog signal form. When transmitted in the down conductor, the high-speed pulse signal will propagate in the form of an analog waveform. When the pulse signal encounters an impedance change (such as a fault point) in the down conductor, part of the signal will be reflected back. The generated reflected signal (equivalent to the above-mentioned reflected analog signal) is also an analog signal, because the reflected signal propagates in the form of an analog waveform in the down conductor. The reflected signal may be attenuated and distorted during the propagation process, so it is necessary to enhance and purify the signal by amplification and filtering. In order to perform digital processing and analysis, the analog signal needs to be converted into a digital signal through a high-speed ADC (Analog-to-Digital Converter). The ADC samples the analog signal at a specific sampling rate and quantizes it into a digital value.

[0045] Sampling is the process of discretizing a continuous analog signal in time, that is, measuring the amplitude of the signal within a specific time interval. Quantization is the process of discretizing the amplitude of the sampled discrete-time signal, that is, converting the sampled value of the continuous amplitude into a finite number of discrete values. In practical applications, sampling and quantization are usually closely linked to complete the conversion from analog signals to digital signals. Through sampling and quantization, the original continuous analog signal is converted into a digital signal of discrete time and discrete amplitude (equivalent to the above-mentioned reflected pulse signal). This digital signal can be stored, transmitted, and further processed and analyzed in a digital system.

[0046] In an exemplary embodiment, the down conductor of the wind turbine includes a first down conductor, a second down conductor, and a third down conductor, and the reflected pulse signal includes a first reflected pulse signal corresponding to the first down conductor, a second reflected pulse signal corresponding to the second down conductor, and a third reflected pulse signal corresponding to the third down conductor. Waveform data analysis is performed on the reflected pulse signal to determine a fault detection result of the down conductor of the wind turbine, including: respectively obtaining a first difference, a second difference, and a third difference, wherein the first difference represents the difference between the waveform data of the first reflected pulse signal and the waveform data of the second reflected pulse signal, the second difference represents the difference between the waveform data of the first reflected pulse signal and the waveform data of the third reflected pulse signal, and the first difference represents the difference between the waveform data of the second reflected pulse signal and the waveform data of the third reflected pulse signal; and determining the fault detection result of the down conductor of the wind turbine according to the first difference, the second difference, and the third difference.

[0047] In an alternative embodiment, Figure 3This is a schematic diagram of the wiring method of the down conductor detector, such as Figure 3 As shown, the three blades of the wind turbine have their own down conductors, the ends of the down conductors are connected to the hub, the hub is connected to the grounding device, the three connection terminals A, B, and C of the down conductor detector are respectively connected to the ends of the down conductors of the three blades, and the grounding terminal G is connected to the hub.

[0048] Optional, Figure 4 This is the system structure diagram of the down conductor detector, as shown in the following figure: Figure 4 As shown in the figure, the down conductor detector includes the following modules:

[0049] High-speed pulse generation and transmission circuit: used to generate and transmit high-speed pulse signal Ei.

[0050] High-speed pulse acquisition and processing circuit: used to collect the reflected pulse signal Er, and process and analyze it.

[0051] Signal storage and processing system: used to store and process the collected signal data, including calculating the reflection coefficient, determining the fault point location, etc.

[0052] Information display system: used to display signal waveform, test results, etc.

[0053] Power supply system: used to supply power to the down conductor detector.

[0054] Communication interface: used for communication and data exchange with the device under test, etc.

[0055] In an optional embodiment, if Figure 5 As shown, Figure 5 The waveform diagram of the reflected pulse signal when the blade down conductor is normal and the waveform diagram of the reflected pulse signal when the blade down conductor is faulty are shown in FIG. Wherein, U represents voltage, d represents the propagation distance of the signal, and the above waveform diagram can be displayed by an oscilloscope.

[0056] In an exemplary embodiment, the fault detection result at least indicates whether there is a fault in the down conductor of the wind turbine, and the fault detection result of the down conductor of the wind turbine is determined according to the first difference, the second difference and the third difference, including: when the first difference is determined to be the minimum difference, if the average value of the second difference and the third difference is greater than the first difference, it is determined that there is a fault in the third down conductor; when the second difference is determined to be the minimum difference, if the average value of the first difference and the third difference is greater than the second difference, it is determined that there is a fault in the second down conductor; when the third difference is determined to be the minimum difference, if the average value of the first difference and the second difference is greater than the third difference, it is determined that there is a fault in the first down conductor.

[0057] In an exemplary embodiment, the first difference is obtained by the following formula:

[0058]

[0059] Among them, D AB represents the first difference, E Ai represents the i-th sampling value in the waveform data of the first reflected pulse signal, E Bi represents the i-th sampling value in the waveform data of the second reflected pulse signal, and n represents the number of sampling points.

[0060] In an optional embodiment, for example, the down conductors of a group (three blades) of wind turbine blades are detected to collect waveform data of the reflected pulse signal. Assuming that the down conductor of blade C is broken, blade C will be significantly different from blade A and blade B in the detection waveform, as shown in FIG. Figure 6 As shown. Then the detector will automatically analyze the difference waveform and give an alarm prompt if there is a faulty blade. The specific analysis process is as follows:

[0061] The sampling values ​​of the waveform data are respectively a series, such as the sampling value of waveform A is E A1 、E A2 ,...E An , and then calculate the difference between waveforms A, B, and C to get D AB , D AC and D BC , for example, the difference between waveforms A and B is calculated as follows:

[0062]

[0063] Take D AB , D AC and D BC The minimum value is the set threshold S. If D AB If the value is the smallest, it means that the waveforms of blades A and B are the closest. The next step is to determine whether the difference between blade C and blades A and B is too large. The judgment formula is as follows:

[0064]

[0065] If the above formula is true, it means that the impedance difference between the down conductor of blade C and the down conductors of blades A and B is too large, and there is a high possibility of blade failure, and then a fault alarm is initiated for the down conductor of blade C. After receiving the alarm information, the operation and maintenance personnel will conduct a detailed fault inspection on the blade.

[0066] In an exemplary embodiment, after performing waveform data analysis on the reflected pulse signal to determine a fault detection result of the down conductor of the wind turbine, the method further includes: when it is determined that the fault detection result indicates that a fault exists in the target down conductor, obtaining waveform data of a target reflected pulse signal corresponding to the target down conductor; obtaining a sampling time of an abnormal sampling value in the waveform data; and determining a fault position of the target down conductor based on a signal propagation speed of the target reflected pulse signal and the sampling time.

[0067] Optionally, in the above embodiment, the change in the impedance of the down conductor can be calculated by measuring the voltage amplitude of the reflected pulse signal. At the same time, since the signal propagation speed in the normal part of the down conductor is similar, the position of the impedance change point in the transmission path can be calculated by measuring the time value from the signal reflection point to the signal output point, and then the fault location of the down conductor can be determined.

[0068] Through the above embodiments, the detector can quickly and accurately determine the location and nature of the fault point by using high-speed pulse signals and advanced signal processing technology. And it can be detected without disassembling the fan blades or downconductors, avoiding the damage to the equipment by traditional detection methods and the need for difficult and dangerous operations. By using the principle of time domain reflection, high-precision positioning at the centimeter level can be performed to accurately locate the fault location.

[0069] Through the description of the above implementation methods, those skilled in the art can clearly understand that the method according to the above embodiment can be implemented by means of software plus a necessary general hardware platform, and of course by hardware, but in many cases the former is a better implementation method. Based on such an understanding, the technical solution of the present application, or the part that contributes to the prior art, can be embodied in the form of a software product, which is stored in a storage medium (such as ROM / RAM, magnetic disk, optical disk), and includes a number of instructions for a terminal device (which can be a mobile phone, computer, server, or network device, etc.) to execute the methods of each embodiment of the present application.

[0070] In the present embodiment, a fault detection device for down conductor is also provided, which is used to implement the above-mentioned embodiment and preferred implementation mode, and the description thereof will not be repeated. As used below, the term "module" can implement a combination of software and / or hardware of a predetermined function. Although the equipment described in the following embodiments is preferably implemented with software, the implementation of hardware, or a combination of software and hardware is also possible and contemplated.

[0071] Figure 7 : is a structural block diagram of a down conductor fault detection device according to an embodiment of the present application, the device comprising:

[0072] The transmitting module 72 is used to transmit a high-speed pulse signal at the starting end of the down conductor of the wind turbine generator, so that the high-speed pulse signal is transmitted along the starting end to the end;

[0073] The acquisition module 74 is used to acquire the reflected pulse signal generated during the transmission of the high-speed pulse signal;

[0074] The determination module 76 is used to perform waveform data analysis on the reflected pulse signal to determine a fault detection result of the down conductor of the wind turbine.

[0075] Through the above device, a high-speed pulse signal can be transmitted from the starting end of the down conductor of the wind turbine to the end of the down conductor, and the reflected pulse signal generated during the transmission of the high-speed pulse signal can be collected; the waveform data of the reflected pulse signal can be analyzed to determine whether there is a fault in the down conductor. This solves the problem of how to improve the efficiency of fault detection of the down conductor of the wind turbine in the related art, and achieves the effect of improving the fault detection efficiency of the down conductor.

[0076] In an exemplary embodiment, the acquisition module 74 is also used to: receive the reflected analog signal generated by the high-speed pulse signal during the transmission process; perform signal amplification and signal filtering on the reflected analog signal to obtain a processed reflected analog signal; sample the processed reflected analog signal according to a preset sampling rate to obtain a discrete-time analog signal, and quantize the discrete-time analog signal to obtain the reflected pulse signal.

[0077] In an exemplary embodiment, the down conductor of the wind turbine includes a first down conductor, a second down conductor, and a third down conductor, and the reflected pulse signal includes a first reflected pulse signal corresponding to the first down conductor, a second reflected pulse signal corresponding to the second down conductor, and a third reflected pulse signal corresponding to the third down conductor. The determination module 76 is also used to: respectively obtain a first difference, a second difference, and a third difference, wherein the first difference represents the difference between the waveform data of the first reflected pulse signal and the waveform data of the second reflected pulse signal, the second difference represents the difference between the waveform data of the first reflected pulse signal and the waveform data of the third reflected pulse signal, and the first difference represents the difference between the waveform data of the second reflected pulse signal and the waveform data of the third reflected pulse signal; and determine the fault detection result of the down conductor of the wind turbine according to the first difference, the second difference, and the third difference.

[0078] In an exemplary embodiment, the fault detection result at least indicates whether there is a fault in the down conductor of the wind turbine, and the determination module 76 is further used to: when it is determined that the first difference is the minimum difference, if the average value of the second difference and the third difference is greater than the first difference, then it is determined that there is a fault in the third down conductor; when it is determined that the second difference is the minimum difference, if the average value of the first difference and the third difference is greater than the second difference, then it is determined that there is a fault in the second down conductor; when it is determined that the third difference is the minimum difference, if the average value of the first difference and the second difference is greater than the third difference, then it is determined that there is a fault in the first down conductor.

[0079] In an exemplary embodiment, the determination module 76 is further configured to obtain the first difference by using the following formula:

[0080]

[0081] Among them, D AB represents the first difference, E Ai represents the i-th sampling value in the waveform data of the first reflected pulse signal, E Bi represents the i-th sampling value in the waveform data of the second reflected pulse signal, and n represents the number of sampling points.

[0082] In an exemplary embodiment, the determination module 76 is also used to: when it is determined that the fault detection result indicates that there is a fault in the target down conductor, obtain the waveform data of the target reflection pulse signal corresponding to the target down conductor; obtain the sampling time of the abnormal sampling value in the waveform data; and determine the fault position of the target down conductor based on the signal propagation speed of the target reflection pulse signal and the sampling time.

[0083] An embodiment of the present application further provides a computer-readable storage medium, in which a computer program is stored, wherein the computer program is configured to execute the steps of any of the above method embodiments when running.

[0084] Optionally, in this embodiment, the storage medium may be configured to store a computer program for performing the following steps:

[0085] S1, transmitting a high-speed pulse signal at the starting end of the down conductor of the wind turbine generator, so that the high-speed pulse signal is transmitted from the starting end to the end;

[0086] S2, collecting the reflected pulse signal generated during the transmission of the high-speed pulse signal;

[0087] S3, performing waveform data analysis on the reflected pulse signal to determine a fault detection result of the down conductor of the wind turbine.

[0088] In an exemplary embodiment, the computer-readable storage medium may include, but is not limited to, various media that can store computer programs, such as a USB flash drive, a read-only memory (ROM), a random access memory (RAM), a mobile hard disk, a magnetic disk or an optical disk.

[0089] For specific examples in this embodiment, reference may be made to the examples described in the above embodiments and exemplary implementation modes, and this embodiment will not be described in detail herein.

[0090] An embodiment of the present application further provides an electronic device, including a memory and a processor, wherein a computer program is stored in the memory, and the processor is configured to run the computer program to execute the steps in any one of the above method embodiments.

[0091] Optionally, in this embodiment, the processor may be configured to perform the following steps through a computer program:

[0092] S1, transmitting a high-speed pulse signal at the starting end of the down conductor of the wind turbine generator, so that the high-speed pulse signal is transmitted from the starting end to the end;

[0093] S2, collecting the reflected pulse signal generated during the transmission of the high-speed pulse signal;

[0094] S3, performing waveform data analysis on the reflected pulse signal to determine a fault detection result of the down conductor of the wind turbine.

[0095] In an exemplary embodiment, the electronic device may further include a transmission device and an input / output device, wherein the transmission device is connected to the processor, and the input / output device is connected to the processor.

[0096] An embodiment of the present application further provides a computer program product, comprising a non-volatile computer-readable storage medium, wherein the non-volatile computer-readable storage medium stores a computer program product, and when the computer program is executed by a processor, the steps of the method described in each embodiment of the present application are implemented.

[0097] Optionally, in this embodiment, the above computer program may be configured to implement the following steps when executed by a processor:

[0098] S1, transmitting a high-speed pulse signal at the starting end of the down conductor of the wind turbine generator, so that the high-speed pulse signal is transmitted from the starting end to the end;

[0099] S2, collecting the reflected pulse signal generated during the transmission of the high-speed pulse signal;

[0100] S3, performing waveform data analysis on the reflected pulse signal to determine a fault detection result of the down conductor of the wind turbine.

[0101] For specific examples in this embodiment, reference may be made to the examples described in the above embodiments and exemplary implementation modes, and this embodiment will not be described in detail herein.

[0102] Obviously, those skilled in the art should understand that the above modules or steps of the present application can be implemented by a general computing device, they can be concentrated on a single computing device, or distributed on a network composed of multiple computing devices, they can be implemented by a program code executable by a computing device, so that they can be stored in a storage device and executed by the computing device, and in some cases, the steps shown or described can be executed in a different order from that herein, or they can be made into individual integrated circuit modules, or multiple modules or steps therein can be made into a single integrated circuit module for implementation. Thus, the present application is not limited to any specific combination of hardware and software.

[0103] The above is only a preferred embodiment of the present application. It should be pointed out that for ordinary technicians in this technical field, several improvements and modifications can be made without departing from the principles of the present application. These improvements and modifications should also be regarded as the scope of protection of the present application.

Claims

1. A method for detecting a down conductor fault, characterized in that: A down conductor detector for a wind turbine generator, wherein the down conductor detector is connected to the hub of the wind turbine generator, the hub is connected to the root of a blade of the wind turbine generator, the starting end of the down conductor of the wind turbine generator is located at the root of the blade of the wind turbine generator, and the end of the down conductor of the wind turbine generator is located at the tip of the blade of the wind turbine generator, comprising: Emitting a high-speed pulse signal at the starting end of the down conductor of the wind turbine generator so that the high-speed pulse signal is transmitted along the starting end to the end; Collecting reflected pulse signals generated during the transmission of the high-speed pulse signals; A waveform data analysis is performed on the reflected pulse signal to determine a fault detection result of the down conductor of the wind turbine.

2. The method according to claim 1, characterized in that Collecting the reflected pulse signal generated during the transmission of the high-speed pulse signal includes: Receiving a reflected analog signal generated during the transmission of the high-speed pulse signal; Performing signal amplification and signal filtering on the reflected analog signal to obtain a processed reflected analog signal; The processed reflected analog signal is sampled according to a preset sampling rate to obtain a discrete-time analog signal, and the discrete-time analog signal is quantized to obtain the reflected pulse signal.

3. The method according to claim 1, characterized in that The down conductor of the wind turbine generator includes a first down conductor, a second down conductor, and a third down conductor, the reflected pulse signal includes a first reflected pulse signal corresponding to the first down conductor, a second reflected pulse signal corresponding to the second down conductor, and a third reflected pulse signal corresponding to the third down conductor, and waveform data analysis is performed on the reflected pulse signal to determine a fault detection result of the down conductor of the wind turbine generator, including: Acquire a first difference, a second difference and a third difference respectively, wherein the first difference represents the difference between the waveform data of the first reflected pulse signal and the waveform data of the second reflected pulse signal, the second difference represents the difference between the waveform data of the first reflected pulse signal and the waveform data of the third reflected pulse signal, and the first difference represents the difference between the waveform data of the second reflected pulse signal and the waveform data of the third reflected pulse signal; A fault detection result of the down conductor of the wind turbine is determined according to the first difference, the second difference and the third difference.

4. The method according to claim 3, characterized in that The fault detection result at least indicates whether there is a fault in the down conductor of the wind turbine generator, and determining the fault detection result of the down conductor of the wind turbine generator according to the first difference, the second difference and the third difference includes: In the case where it is determined that the first difference is the minimum difference, if the average value of the second difference and the third difference is greater than the first difference, it is determined that the third down conductor has a fault; In the case where it is determined that the second difference is the minimum difference, if the average value of the first difference and the third difference is greater than the second difference, it is determined that the second down conductor has a fault; In the case where it is determined that the third difference is the minimum difference, if an average value of the first difference and the second difference is greater than the third difference, it is determined that a fault exists in the first down conductor.

5. The method according to claim 3, characterized in that: The first difference is obtained by the following formula: Among them, D AB represents the first difference, E Ai represents the i-th sampling value in the waveform data of the first reflected pulse signal, E Bi represents the i-th sampling value in the waveform data of the second reflected pulse signal, and n represents the number of sampling points.

6. The method according to claim 1, characterized in that After performing waveform data analysis on the reflected pulse signal to determine a fault detection result of the down conductor of the wind turbine, the method further comprises: in the case where it is determined that the fault detection result indicates that a fault exists in the target down conductor, acquiring waveform data of a target reflected pulse signal corresponding to the target down conductor; Obtaining the sampling time of the abnormal sampling value in the waveform data; The fault position of the target down conductor is determined according to the signal propagation speed of the target reflected pulse signal and the sampling time.

7. A down conductor fault detection device, characterized in that: include: A transmitting module, used for transmitting a high-speed pulse signal at the starting end of the down conductor of the wind turbine generator, so that the high-speed pulse signal is transmitted along the starting end to the end; An acquisition module, used for acquiring reflected pulse signals generated during the transmission of the high-speed pulse signal; The determination module is used to perform waveform data analysis on the reflected pulse signal to determine a fault detection result of the down conductor of the wind turbine.

8. A computer-readable storage medium, characterized in that: The computer-readable storage medium includes a stored program, wherein the program executes the method according to any one of claims 1 to 6 when executed.

9. An electronic device comprising a memory and a processor, characterized in that: A computer program is stored in the memory, and the processor is configured to execute the method according to any one of claims 1 to 6 through the computer program.

10. A computer program product, comprising a computer program, characterized in that When the computer program is executed by a processor, the steps of the method according to any one of claims 1 to 6 are implemented.

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