Mining Transformer Fault Diagnosis Based on INGO Optimized LSSVM

Author:

Peng Hong1,Wang Xibo2

Affiliation:

1. Liaoning Polytechnic University,School of Electrical and Control Engineering,Huludao,China

2. Liaoning Polytechnic University,School of Electronic and Information Engineering,Huludao,China

Publisher

IEEE

Reference19 articles.

1. Transformer mechanical fault diagnosis method based on point symmetry transformation and image matching [J];Lihua;Journal of Electrical Technology,2021

2. Research on power transformer fault diagnosis method based on KPCA and IHHO-LSSVM [J];Liye;Electrical Engineering,2022

3. Research on transformer fault diagnosis based on ISSA optimized SVM [J];Man;Journal of electronic measurement and instrumentation,2021

4. Multi-strategy improved sparrow algorithm and transformer fault diagnosis based on BILSTM [J];Yuhong;Journal of instrumentation,2022

5. Transformer fault data enhancement method based on improved automatic encoder under the condition of insufficient data [J];Leijiao;Journal of Electrical Technology,2021

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