Power converter fault classification method based on multi-feature selection algorithm

In the process of fault diagnosis for the core components of the integrated modular avionics power conversion module, selecting appropriate features can effectively improve the efficiency and classification accuracy of the model, and greatly reduce the computational complexity of the learning algori...

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Bibliographic Details
Main Authors: CHI Chengzhi, PAN Zhen, XU Zhao, ZHANG Yitong
Format: Article
Language:zho
Published: EDP Sciences 2022-06-01
Series:Xibei Gongye Daxue Xuebao
Subjects:
Online Access:https://www.jnwpu.org/articles/jnwpu/full_html/2022/03/jnwpu2022403p645/jnwpu2022403p645.html