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...

Бүрэн тодорхойлолт

Номзүйн дэлгэрэнгүй

Үндсэн зохиолчид:	Chun-Yao Lee, Wen-Cheng Lin
Формат:	Artigo
Хэл сонгох:	Inglês
Хэвлэсэн:	MDPI AG 2020-08-01
Цуврал:	Applied Sciences
Нөхцлүүд:	fast correlation-based filter (FCBF) back propagation neural network (BPNN) Hilbert–Huang transform (HHT) motor failure ReliefF symmetrical uncertainty (SU)
Онлайн хандалт:	https://www.mdpi.com/2076-3417/10/15/5383
Шошгууд:	Шошго нэмэх Шошго байхгүй, Энэхүү баримтыг шошголох эхний хүн болох!