Collecting ring-carbon brush state detection method for wind turbine generator and related device

Abstract

The invention discloses a wind turbine generator collector ring-carbon brush state detection method and a related device. The method comprises the following steps: collecting current and temperature information of a collector ring and a carbon brush when a wind turbine generator works through a collection device; carrying out the preprocessing of the collected current and temperature information through employing an LSTM-Kalman filtering fusion algorithm; the states of the collecting ring and the carbon brush of the wind turbine generator are judged according to the preprocessed current and temperature information, the states of the collecting ring and the carbon brush of the wind turbine generator can be detected on line through the method and the related device, the detection cost is low, and the detection accuracy is high.

Description

Technical Field

[0001] The present invention belongs to the technical field of operating state monitoring of wind turbines, and relates to a method and related device for detecting the state of a slip ring - carbon brush of a wind turbine. Background Art

[0002] With the further deepening of the power system reform, the continuous development and change of the power grid structure, and the continuous promotion of the construction of the power market, the proportion of wind power generation capacity has been continuously increasing, and wind turbines have developed rapidly in the past few decades.

[0003] In wind turbines, slip rings and carbon brushes are key current transmission components, and their operating states directly affect the power generation efficiency and service life of the units. At present, the domestic early - stage units have all been in operation for more than 10 years. With the increase of the operating years, the generator failures remain high, and the failures of generator slip rings and carbon brushes account for a relatively large proportion. In the industry, unsafe events such as the generation of electric arcs and fires on the generator carbon brush slip rings often occur, which will cause heavy losses to the wind farm.

[0004] At present, the detection method for the state of the slip ring - carbon brush of a wind turbine relies on regular manual inspections. However, this method cannot give early warnings for faults in a timely manner, and the reliability is not high. The inspections may miss early wear or faults, and manual maintenance and equipment shutdown will also bring additional costs to the power station. Summary of the Invention

[0005] The purpose of the present invention is to overcome the above - mentioned disadvantages of the prior art, and provide a method and related device for detecting the state of a slip ring - carbon brush of a wind turbine. The method and related device can detect the states of the slip ring and carbon brush of a wind turbine online, and have low detection costs and high detection accuracy.

[0006] To achieve the above purpose, the present invention discloses a method for detecting the state of a slip ring - carbon brush of a wind turbine, including:

[0007] Collecting current and temperature information of the slip ring and carbon brush when the wind turbine is working through a collecting device;

[0008] Pre - processing the collected current and temperature information by using an LSTM - Kalman filter fusion algorithm;

[0009] Judging the states of the slip ring and carbon brush of the wind turbine according to the pre - processed current and temperature information.

[0010] A further improvement of the method for detecting the state of the slip ring - carbon brush of the wind turbine according to the present invention lies in:

[0011] Furthermore, the collecting device includes a current sensor and a temperature sensor. Among them, the current information of the slip ring and carbon brush is detected by the current sensor; the temperature information of the slip ring and carbon brush is detected by the temperature sensor.

[0012] Further, the process of preprocessing the collected current and temperature information by using the LSTM-Kalman filter fusion algorithm is as follows:

[0013] Input the current and temperature information of the slip ring and carbon brush during the operation of the wind turbine into the LSTM network, and then filter the output result of the LSTM network through the Kalman filter fusion algorithm to obtain the preprocessed current and temperature information.

[0014] Further, the process of judging the states of the slip ring and carbon brush of the wind turbine according to the preprocessed current and temperature information is as follows:

[0015] Compare the preprocessed current and temperature information with the preset current threshold and temperature threshold, and judge the states of the slip ring and carbon brush according to the comparison results.

[0016] Further, when the current of the slip ring is greater than the preset current threshold or the temperature of the slip ring is greater than the preset temperature threshold, it is considered that the slip ring has a fault. When the current of the carbon brush is greater than the preset current threshold or the temperature of the carbon brush is greater than the preset temperature threshold, it is considered that the carbon brush has a fault.

[0017] Further, it further includes: when a fault occurs in the slip ring or the carbon brush, an alarm signal is output.

[0018] The present invention discloses a slip ring-carbon brush state detection system for a wind turbine, including:

[0019] A collection module, configured to collect the current and temperature information of the slip ring and carbon brush during the operation of the wind turbine through a collection device;

[0020] A preprocessing module, configured to preprocess the collected current and temperature information by using the LSTM-Kalman filter fusion algorithm;

[0021] A judgment module, configured to judge the states of the slip ring and carbon brush of the wind turbine according to the preprocessed current and temperature information.

[0022] Further, the process of preprocessing the collected current and temperature information by using the LSTM-Kalman filter fusion algorithm is as follows:

[0023] Input the current and temperature information of the slip ring and carbon brush during the operation of the wind turbine into the LSTM network, and then filter the output result of the LSTM network through the Kalman filter fusion algorithm to obtain the preprocessed current and temperature information.

[0024] The present invention discloses a computer device, including a memory, a processor, and a computer program stored in the memory and executable on the processor. When the processor executes the computer program, the steps of the method for detecting the state of the slip ring - carbon brush of a wind turbine generator set are implemented.

[0025] The present invention discloses a computer - readable storage medium storing a computer program, and when the computer program is executed by a processor, the steps of the method for detecting the state of the slip ring - carbon brush of a wind turbine generator set are implemented.

[0026] The present invention has the following beneficial effects:

[0027] When the method for detecting the state of the slip ring - carbon brush of a wind turbine generator set and related devices according to the present invention are specifically operated, the current and temperature information of the slip ring and carbon brush during the operation of the wind turbine generator set are collected by a collecting device, and then the LSTM - Kalman filtering fusion algorithm is used to pre - process the collected information to realize the online collection of information. In addition, according to the pre - processed current and temperature information, the states of the slip ring and carbon brush of the wind turbine generator set are judged. The detection cost is low and the detection accuracy is relatively high, which can reduce the arc ignition caused by the faults of the slip ring and carbon brush during the operation of the generator or the occurrence of the unit catching fire, and improve the safety and stability of the wind turbine generator set. BRIEF DESCRIPTION OF THE DRAWINGS

[0028] The attached drawings forming a part of the present invention are used to provide a further understanding of the present invention. The schematic embodiments of the present invention and their descriptions are used to explain the present invention and do not constitute an improper limitation of the present invention. In the drawings:

[0029] Figure 1 is the flowchart of the method of the present invention;

[0030] Figure 2 is the system management diagram of the present invention;

[0031] Figure 3 is the working principle diagram of the LSTM - Kalman filtering fusion algorithm. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0032] Next, the technical solutions in the embodiments of the present invention will be clearly and completely described in conjunction with the attached drawings in the embodiments of the present invention. Obviously, the described embodiments are some, but not all, of the embodiments of the present invention. All other embodiments obtained by those of ordinary skill in the art based on the embodiments of the present invention without creative efforts shall fall within the protection scope of the present invention.

[0033] In the description of the present invention, it should be understood that the terms "include" and "comprise" indicate the presence of the described features, wholes, steps, operations, elements, and / or components, but do not exclude the presence or addition of one or more other features, wholes, steps, operations, elements, components, and / or their combinations.

[0034] It should also be understood that the terms used in the specification of the present invention are for the purpose of describing particular embodiments only and are not intended to limit the present invention. As used in the specification of the present invention and the appended claims, unless the context clearly dictates otherwise, the singular forms "a", "an", and "the" are intended to include the plural forms.

[0035] It should be further understood that the term "and / or" used in the specification of the present invention and the appended claims refers to any combination and all possible combinations of one or more of the associated listed items, and includes these combinations. For example, A and / or B can represent three cases: A exists alone, A and B exist simultaneously, and B exists alone. In addition, in the present invention, the character " / " generally represents an "or" relationship between the associated objects before and after.

[0036] It should be understood that although terms such as first, second, and third may be used in the embodiments of the present invention to describe preset ranges, etc., these preset ranges should not be limited to these terms. These terms are only used to distinguish the preset ranges from each other. For example, without departing from the scope of the embodiments of the present invention, the first preset range may also be referred to as the second preset range, and similarly, the second preset range may also be referred to as the first preset range.

[0037] Depending on the context, the word "if" as used herein can be interpreted as "when" or "while" or "in response to determining" or "in response to detecting". Similarly, depending on the context, the phrase "if determined" or "if detected (stated condition or event)" can be interpreted as "when determined" or "in response to determining" or "when detected (stated condition or event)" or "in response to detecting (stated condition or event)".

[0038] To make the objectives, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present invention. Apparently, the described embodiments are some but not all of the embodiments of the present invention. Usually, the components described and shown in the accompanying drawings here can be arranged and designed in various different configurations. Therefore, the following detailed description of the embodiments of the present invention provided in the accompanying drawings is not intended to limit the scope of the claimed invention, but merely represents selected embodiments of the present invention. All other embodiments obtained by those of ordinary skill in the art based on the embodiments of the present invention without creative efforts fall within the scope of protection of the present invention.

[0039] Schematic diagrams of various structures according to the disclosed embodiments of the present invention are shown in the accompanying drawings. These figures are not drawn to scale, where for the purpose of clear expression, some details are enlarged and some details may be omitted. The shapes of various regions and layers shown in the figures and their relative sizes and positional relationships are merely exemplary, and in practice, there may be deviations due to manufacturing tolerances or technical limitations, and those skilled in the art can additionally design regions / layers with different shapes, sizes, and relative positions according to actual needs.

[0040] Embodiment 1

[0041] The method for detecting the state of the slip ring - carbon brush of the wind turbine generator set according to the present invention includes the following steps:

[0042] 1) Obtain the current and temperature information of the slip ring and carbon brush when the wind turbine generator set is operating;

[0043] Reference Figure 1 , collect the current and temperature information of the slip ring and carbon brush during operation through a current sensor and a temperature sensor, and summarize the collected information over time to form a time series.

[0044] In this embodiment, the current sensor used is a Hall effect sensor. The Hall sensor can measure currents and voltages of any waveform, for example, direct current, alternating current, pulse waveforms, etc., and even measure transient peaks. Moreover, the Hall sensor has a firm structure, small volume, light weight, long service life, convenient installation, low power consumption, high frequency (up to 1 MHZ), vibration resistance, and is not afraid of pollution or corrosion by dust, oil, water vapor, salt spray, etc.

[0045] The temperature sensor used is an RTD temperature sensor. The RTD temperature sensor is a temperature measuring resistor made of platinum metal wire. It has the advantages of high precision, good resolution, safety and reliability, and convenient use. The RTD is a passive device that does not generate an output alone and has no self - heating risk.

[0046] 2) The LSTM-Kalman filter fusion algorithm is used to denoise the collected current and temperature information and eliminate abnormal data.

[0047] By fusing the LSTM and the Kalman filter, their advantages can be fully utilized. The working principle of the hybrid algorithm is as Figure 3 shown.

[0048] The LSTM can be used to model and predict sequence data to obtain the prediction results of the LSTM. Then, the prediction results of the LSTM are used as the input of the Kalman filter and fused with the actual measurement data. The Kalman filter can balance the prediction results of the LSTM and the actual measurement data by adjusting the weights, thereby improving the prediction accuracy and stability.

[0049] The LSTM is a time series algorithm commonly used to process and predict time-based sequence data. The LSTM sets two key variables: the hidden state h, which is mainly responsible for memorizing short-term information, especially the information at the current time step, and the cell state C, which is mainly responsible for long-term memory. It has three key gating units, namely the input gate, the forget gate, and the output gate. These gating units control the flow of information through learning to help the LSTM network better handle long-term dependencies.

[0050] The LSTM usually makes predictions step by step in time series prediction tasks. The specific process is as follows:

[0051] 1a) Initialize the model;

[0052] Provide the input data of historical time steps to the LSTM model to obtain the initial hidden state and cell state.

[0053] 2a) Make predictions step by step;

[0054] During the prediction process, the input to the model at each time is the input data of the current time step and the hidden state of the previous time step. The output result of the current time step is obtained through model calculation. The output result of the model can be a prediction value or multiple prediction values, depending on the task requirements and model design. The output result of the current time step is used as the input of the next time step, and the above process is repeated until the predicted time range is reached or the stop condition is met.

[0055] 3a) Iterative prediction;

[0056] After each prediction, the prediction result can be compared with the true value to evaluate the prediction error, and the prediction result can be added to the input sequence. It can be chosen to use the true value as the input for the next time step, or use the result predicted by the model as the input for the next time step, depending on the specific prediction strategy and application requirements.

[0057] It should be noted that the Kalman filter is a filtering algorithm based on optimal estimation. It iteratively gives the value with the minimum uncertainty by comprehensively considering the estimated value and the measured value. The Kalman filter is mainly divided into two parts: prediction and update. It is necessary to construct the state equation and the observation equation of the system, and the initial state of the system is known. In the prediction stage, the filter uses the estimation of the previous state to make an estimation of the current state. In the update stage, the filter uses the observed value of the current state to optimize the predicted value obtained in the prediction stage to obtain a more accurate new estimated value.

[0058] Specifically, the state of the Kalman filter is represented by the following two variables:

[0059] Represents the estimation of the state at time k.

[0060] Represents the prediction of the state at time k given the states at the previous k - 1 times.

[0061] Is the posterior estimation error covariance matrix, which measures the accuracy of the estimated value.

[0062] Then the prediction and update processes are as follows:

[0063]

[0064] Furthermore, the processed data is uploaded to the cloud network server. A remote monitoring and diagnosis platform is constructed through the cloud network server. Current and temperature thresholds for the slip ring - carbon brush of the system are set. When the current or temperature exceeds the threshold, an audible and visual alarm or a remote notification is triggered. Real - time monitoring and historical data analysis are provided on the visualization platform. The system generates maintenance suggestions based on long - term data analysis.

[0065] It should be noted that the present invention is based on the ARM platform, integrating data acquisition, processing, and transmission. It supports a variety of sensors and communication methods and is suitable for complex industrial environments. The LSTM - Kalman filter fusion algorithm is used for data analysis, which can give full play to the advantages of the two algorithms. It can not only extract complex non - linear features from the data but also maintain the real - time performance and dynamic modeling ability of the Kalman filter. It can effectively prevent arc ignition or unit fire caused by slip ring and carbon brush failures during the operation of the generator, and effectively improve the safety and stability of the wind turbine generator set.

[0066] Embodiment 2

[0067] The slip ring - carbon brush condition detection system of the wind turbine in the present invention includes:

[0068] An acquisition module, which is used to acquire the current and temperature information of the slip ring and carbon brush during the operation of the wind turbine through an acquisition device;

[0069] A pre - processing module, which is used to pre - process the acquired current and temperature information by using an LSTM - Kalman filter fusion algorithm;

[0070] A judgment module, which is used to judge the conditions of the slip ring and carbon brush of the wind turbine according to the pre - processed current and temperature information.

[0071] In this embodiment, the process of pre - processing the acquired current and temperature information by using the LSTM - Kalman filter fusion algorithm is as follows:

[0072] Input the current and temperature information of the slip ring and carbon brush during the operation of the wind turbine into the LSTM network, and then filter the output result of the LSTM network through the Kalman filter fusion algorithm to obtain the pre - processed current and temperature information.

[0073] The division of modules in the embodiments of the present application is illustrative. It is only a logical function division. In actual implementation, there may be other division methods. In addition, in each embodiment of the present application, each functional module can be integrated in a processor, or can exist separately physically, or two or more modules can be integrated in one module. The above - integrated modules can be implemented in the form of hardware or in the form of software functional modules.

[0074] Embodiment III

[0075] A computer device includes a memory, a processor, and a computer program stored in the memory and executable on the processor. When the processor executes the computer program, the steps of the method for detecting the state of the slip ring - carbon brush of a wind turbine are implemented. For example, it includes: collecting the current and temperature information of the slip ring and carbon brush when the wind turbine is operating through a collection device; preprocessing the collected current and temperature information using an LSTM - Kalman filter fusion algorithm; and judging the state of the slip ring and carbon brush of the wind turbine according to the preprocessed current and temperature information. Among them, the memory may include internal memory, such as high - speed random access memory, and may also include non - volatile memory, such as at least one disk memory, etc.; the processor, network interface, and memory are interconnected through an internal bus, and this internal bus can be an Industry Standard Architecture bus, a Peripheral Component Interconnect standard bus, an Extended Industry Standard Architecture bus, etc., and the bus can be divided into an address bus, a data bus, a control bus, etc. The memory is used to store programs. Specifically, the program may include program code, and the program code includes computer operation instructions. The memory may include internal memory and non - volatile memory, and provide instructions and data to the processor.

[0076] Embodiment 4

[0077] A computer - readable storage medium stores a computer program, and when the computer program is executed by a processor, the steps of the method for detecting the state of the slip ring - carbon brush of a wind turbine are implemented. For example, it includes: collecting the current and temperature information of the slip ring and carbon brush when the wind turbine is operating through a collection device; preprocessing the collected current and temperature information using an LSTM - Kalman filter fusion algorithm; and judging the state of the slip ring and carbon brush of the wind turbine according to the preprocessed current and temperature information. Specifically, the computer - readable storage medium includes but is not limited to, for example, volatile memory and / or non - volatile memory. The volatile memory may include random access memory and / or cache memory, etc. The non - volatile memory may include read - only memory, hard disk, flash memory, optical disc, magnetic disk, etc.

[0078] Those skilled in the art should understand that the embodiments of the present application can be provided as a method, a system, or a computer program product. Therefore, the present application can take the form of a complete hardware embodiment, a complete software embodiment, or an embodiment combining software and hardware aspects. Moreover, the present application can take the form of a computer program product implemented on one or more computer - usable storage media containing computer - usable program code.

[0079] This application is described with reference to the flowcharts and / or block diagrams of methods, apparatuses (systems), and computer program products according to embodiments of the present application. It should be understood that each flow and / or block in the flowchart and / or block diagram, and the combination of flows and / or blocks in the flowchart and / or block diagram, can be implemented by computer program instructions. These computer program instructions can be provided to the processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing devices to generate a machine, such that the instructions executed by the processor of the computer or other programmable data processing devices generate means for implementing the functions specified in one process Figure 1 one process or multiple processes and / or blocks Figure 1 or means for implementing the functions specified in multiple blocks.

[0080] These computer program instructions can also be stored in a computer-readable memory that can direct a computer or other programmable data processing device to work in a specific manner, such that the instructions stored in the computer-readable memory generate a manufactured article including instruction means, and the instruction means implement the functions specified in one process Figure 1 one process or multiple processes and / or blocks Figure 1 or means for implementing the functions specified in multiple blocks.

[0081] These computer program instructions can also be loaded onto a computer or other programmable data processing device, such that a series of operation steps are executed on the computer or other programmable device to generate a computer-implemented process, and thus the instructions executed on the computer or other programmable device provide steps for implementing the functions specified in one process Figure 1 one process or multiple processes and / or blocks Figure 1 or means for implementing the functions specified in multiple blocks.

[0082] Those skilled in the art will readily conceive of other embodiments of the present invention upon considering the specification and the disclosure of the invention. This application is intended to cover any variations, uses, or adaptations of the present invention that follow the general principles of the present invention and include known common knowledge or conventional technical means in the technical field not disclosed by the present invention. The specification and embodiments are only regarded as exemplary, and the true scope and spirit of the present invention are pointed out by the following claims.

[0083] It should be understood that the present invention is not limited to the exact structures described above and shown in the drawings, and various modifications and changes can be made without departing from its scope. The scope of the present invention is only limited by the appended claims.

[0084] The above are only preferred embodiments of the present invention and do not impose any limitations on the present invention. Any simple modifications, changes, and equivalent structural changes made to the above embodiments according to the technical essence of the present invention still fall within the scope of the technical solutions of the present invention.

Claims

1. A method for detecting the state of a collector ring and carbon brush of a wind turbine, characterized in that: include: The current and temperature information of the collector ring and the carbon brush when the wind turbine is working is collected by the collection device; After preprocessing the collected current and temperature information using the LSTM-Kalman filter fusion algorithm; The status of the wind turbine collector ring and carbon brush is determined based on the pre-processed current and temperature information.

2. The wind turbine collector ring-carbon brush state detection method according to claim 1, characterized in that: The acquisition device includes a current sensor and a temperature sensor, wherein the current information of the collector ring and the carbon brush is detected by the current sensor; and the temperature information of the collector ring and the carbon brush is detected by the temperature sensor.

3. The wind turbine collector ring-carbon brush state detection method according to claim 1, characterized in that: The process of preprocessing the collected current and temperature information using the LSTM-Kalman filter fusion algorithm is as follows: The current and temperature information of the collector ring and the carbon brush when the wind turbine is working are input into the LSTM network, and then the output result of the LSTM network is filtered through the Kalman filter fusion algorithm to obtain the pre-processed current and temperature information.

4. The wind turbine collector ring-carbon brush state detection method according to claim 1, characterized in that: The process of judging the status of the wind turbine collector ring and the carbon brush according to the pre-processed current and temperature information is as follows: The preprocessed current and temperature information are compared with the preset current threshold and temperature threshold, and the status of the collector ring and the carbon brush is determined based on the comparison result.

5. The wind turbine collector ring-carbon brush state detection method according to claim 4, characterized in that: When the current of the slip ring is greater than the preset current threshold or the temperature of the slip ring is greater than the preset temperature threshold, the slip ring is considered to be faulty; when the current of the carbon brush is greater than the preset current threshold or the temperature of the carbon brush is greater than the preset temperature threshold, the carbon brush is considered to be faulty.

6. The wind turbine collector ring-carbon brush state detection method according to claim 5, characterized in that: Also includes: When the collector ring or carbon brush fails, an alarm signal is output.

7. A wind turbine collector ring-carbon brush state detection system, characterized in that: include: A collection module is used to collect the current and temperature information of the collector ring and the carbon brush when the wind turbine is working through a collection device; The preprocessing module is used to preprocess the collected current and temperature information using the LSTM-Kalman filter fusion algorithm; The judgment module is used to judge the status of the collector ring and carbon brush of the wind turbine according to the pre-processed current and temperature information.

8. The wind turbine collector ring-carbon brush state detection system according to claim 7, characterized in that: The process of preprocessing the collected current and temperature information using the LSTM-Kalman filter fusion algorithm is as follows: The current and temperature information of the collector ring and the carbon brush when the wind turbine is working are input into the LSTM network, and then the output result of the LSTM network is filtered through the Kalman filter fusion algorithm to obtain the pre-processed current and temperature information.

9. A computer device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, characterized in that: When the processor executes the computer program, the steps of the wind turbine set collector ring-carbon brush status detection method as described in any one of claims 1 to 6 are implemented.

10. A computer-readable storage medium storing a computer program, characterized in that: When the computer program is executed by a processor, the steps of the wind turbine collector ring-carbon brush state detection method as claimed in any one of claims 1 to 6 are implemented.

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