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Fault Diagnosis of Power Transformer Based on Extreme Learning Machine Optimized by Improved Grey Wolf Optimization

For power transformers, the gas content in oil is used as the fault input feature quantity, and the accuracy of diagnosis results is not satisfactory. The problem of low accuracy of optimized extreme learning machine (ELM) of grey wolf optimization (GWO) algorithm is proposed, and a hybrid intellige...

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Furkejuvvon:
Váldodahkkit: Yong Xu, Xiaojuan Lu, Yuhang Zhu, Jiawei Wei, Dan Liu, Jianchong Bai
Materiálatiipa: Artigo
Giella:Inglês
Almmustuhtton: Tamkang University Press 2024-01-01
Ráidu:Journal of Applied Science and Engineering
Fáttát:
fault diagnosis
extreme learning machine
random forest
grey wolf optimization algorithm
power transformer
Liŋkkat:http://jase.tku.edu.tw/articles/jase-202404-27-4-0015
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