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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    Titel :

    PSO Algorithm Optimization of ESN Algorithm for Transformer Fault Diagnosis


    Beteiligte:
    Wen, Run (Autor:in) / Kong, Yuan (Autor:in) / Sun, Yunhui (Autor:in)


    Erscheinungsdatum :

    2023-10-11


    Format / Umfang :

    2319488 byte




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



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