Induction Motor Fault Classification Based on FCBF-PSO Feature Selection Method

This study proposes a fast correlation-based filter with particle-swarm optimization method. In FCBF–PSO, the weights of the features selected by the fast correlation-based filter are optimized and combined with backpropagation neural network as a classifier to identify the faults of induction motor...

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Principais autores:	Chun-Yao Lee, Wen-Cheng Lin
Format:	Artigo
Jezik:	Inglês
Izdano:	MDPI AG 2020-08-01
Serija:	Applied Sciences
Teme:	fast correlation-based filter (FCBF) back propagation neural network (BPNN) Hilbert–Huang transform (HHT) motor failure ReliefF symmetrical uncertainty (SU)
Online dostop:	https://www.mdpi.com/2076-3417/10/15/5383
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