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Voltage source inverter fault diagnosis method and system based on convolutional neural network

A technology of voltage source inverter and convolutional neural network, which is applied in the field of computer neural network and can solve problems such as complex algorithms

Pending Publication Date: 2021-12-03
JIMEI UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] In order to solve the above-mentioned complex problems of existing algorithms, the present invention proposes a fault diagnosis method for voltage source inverters based on convolutional neural network, and its technical scheme is as follows: comprising the following steps,

Method used

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  • Voltage source inverter fault diagnosis method and system based on convolutional neural network
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  • Voltage source inverter fault diagnosis method and system based on convolutional neural network

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Embodiment 1

[0045] Such as figure 1 As shown, the present invention provides a kind of voltage source inverter fault diagnosis method based on convolutional neural network, comprises the following steps, 1. a kind of voltage source inverter fault diagnosis method based on convolutional neural network, is characterized in that: Include the following steps,

[0046] S1. Obtain fault current data of the voltage source inverter to be diagnosed, and preprocess the fault current data to obtain a fault current data set;

[0047] S2. Input the fault current data set into the pre-trained voltage source inverter fault diagnosis model to obtain the fault diagnosis probability of the voltage source inverter to be diagnosed under multiple fault type classifications; wherein, the The voltage source inverter fault diagnosis model includes: an input layer, a feature extraction layer, and an output layer. The input layer standardizes and enhances the time domain current signal of the voltage source inver...

Embodiment 2

[0124] The present invention also provides the system, including a processor, a memory, and a computer program stored in the memory and operable on the processor, when the processor executes the computer program, the implementation of the present invention is realized. Steps in the above method embodiment of Example 1.

[0125] Further, as an executable solution, the system / electronic device may be computing devices such as desktop computers, notebooks, palmtop computers, and cloud servers. The system / electronic device may include, but is not limited to, a processor, memory. Those skilled in the art can understand that the composition structure of the above-mentioned system / electronic equipment is only an example of the system / electronic equipment, and does not constitute a limitation on the system / electronic equipment. It may include more or less components than the above, or combine certain parts, or different parts. For example, the system / electronic device may also inclu...

Embodiment 3

[0129] The present invention also provides a computer-readable storage medium, where the computer-readable storage medium stores a computer program, and when the computer program is executed by a processor, the steps of the above method in the embodiment of the present invention are implemented.

[0130] If the integrated modules / units of the system / electronic equipment are realized in the form of software function units and sold or used as independent products, they can be stored in a computer-readable storage medium. Based on this understanding, the present invention realizes all or part of the processes in the methods of the above embodiments, and can also be completed by instructing related hardware through a computer program. The computer program can be stored in a computer-readable storage medium, and the computer When the program is executed by the processor, the steps in the above-mentioned various method embodiments can be realized. Wherein, the computer program inclu...

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Abstract

The invention relates to a voltage source inverter fault diagnosis method and system based on a convolutional neural network, and the method comprises the steps of obtaining fault current data of a to-be-diagnosed voltage source inverter, carrying out the preprocessing of the fault current data, and obtaining a fault current data set; and inputting the fault current data set into the trained improved convolutional neural network model to classify the features of each fault case. The model is simplified, the complexity of the algorithm is reduced, the performance of the convolutional neural network is improved, the fault type of the voltage source inverter can be diagnosed more quickly, the fault of the voltage source inverter can be early warned in time, a user can remove the fault at the first time according to the fault type, heavy loss is avoided, and intelligent fault diagnosis of the voltage source inverter is realized.

Description

technical field [0001] The invention relates to the field of computer neural networks, in particular to a method and system for diagnosing faults of voltage source inverters based on convolutional neural networks. Background technique [0002] In recent years, electrical systems are developing in the direction of large-scale, precision, systematization, automation and intelligence. As a power electronic device widely used in electrical systems, voltage source inverters are the main application equipment in industrial production. The switch tube is the most fragile part of electrical equipment. Once a failure occurs, it will bring great losses, even huge impact or disaster. [0003] With the rise of industrial big data, data-driven fault diagnosis methods are widely used in the field of power electronics, and the diagnosis results can be obtained by directly analyzing and processing the data obtained from the state monitoring of power electronic devices. Since the adaptive ...

Claims

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Application Information

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IPC IPC(8): G06K9/62G06N3/04G06N3/08G01R31/00
CPCG06N3/084G01R31/00G06N3/045G06F18/2415G06F18/214
Inventor 王荣杰张世奇林安辉王亦春司玉鹏王礼宝
Owner JIMEI UNIV
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