Fault diagnosis method based on supervised particle swarm optimization classification algorithm
Author:
Affiliation:
1. Center for System Reliability and Safety, University of Electronic Science and Technology of China, Chengdu, Sichuan 611731, China
2. Civil Aviation Flight University of China, Guanghan, Sichuan 618307, China
Publisher
IOS Press
Subject
Artificial Intelligence,Computer Vision and Pattern Recognition,Theoretical Computer Science
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