The invention discloses a CNN-based transformer fault diagnosis method

Abstract

The invention discloses a CNN-based transformer fault diagnosis method. The method comprises the following steps of 1, obtaining a monitoring image of a transformer; 2, inputting the monitoring imageinto a CNN judgment model, and obtaining a probability value of the monitoring image being a transformer in a normal state; And step 3, judging whether the probability value is lower than a set probability threshold value or not, and if yes, judging that the transformer is in a fault state. According to the invention, the deep neural network is used to determine and diagnose the fault state of themonitoring image of the transformer; According to the method, the calculation complexity of traditional fault diagnosis is reduced, the efficiency of transformer fault identification and diagnosis inthe transformer substation and the accuracy of a diagnosis result can be effectively improved, the robustness is high, and monitoring images of different transformer substation backgrounds can be processed.

Description

Technical field [0001] The invention relates to the field of diagnosis and identification of key equipment in substations, in particular to a CNN-based transformer fault diagnosis method. Background technique [0002] In order to realize the intelligent management of the main power equipment of the substation and ensure the safe and reliable operation of the power system, the power company has strengthened the monitoring methods and means for the operation of the power equipment. But at present, the main method of manual analysis is still used to deal with the problems of the main equipment. This method will lead to a large amount of waste of human resources, and in many cases it cannot be real-time. [0003] Convolutional Neural Network (CNN) is one of the most representative network structures in deep learning technology. Summary of the invention [0004] In order to solve the above-mentioned problems in the background art, the present invention provides a CNN-based transformer f...

AI Technical Summary

Problems solved by technology

However, at present, manual analysis is still mainly used to deal with various problems of major equipment. This method will cause a lot of waste of human resources, and in many cases, it cannot achieve real-time performance.

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