To overcome the shortcomings of the echo state network (ESN) algorithm in the application of fault diagnosis, a method of optimizing the ESN neural network, the particle swarm optimization (PSO) algorithm is established, and the transformer fault diagnosis algorithm is based on PSO-ESN. Through the simulation experiment of 50 groups of training samples and 15 groups of test samples, it can be seen that the PSO-ESN algorithm can improve the accuracy of transformer fault diagnosis and effectively reduce the error accuracy of the network.


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    Title :

    PSO Algorithm Optimization of ESN Algorithm for Transformer Fault Diagnosis


    Contributors:
    Wen, Run (author) / Kong, Yuan (author) / Sun, Yunhui (author)


    Publication date :

    2023-10-11


    Size :

    2319488 byte




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



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