A method of Clustering in Mechanical Fault diagnosis based on improved Fish-swarm Algorithm
CHEN An-hua ZHOU Bo ZHANG Hui-fu WEN Hong
1.Hunan University of Science and Technology , Hunan Provincial Key Laboratory of Health Maintenance for Mechanical Equipment , Xiangtan , Hunan , 4112012.Hunan University of Science and Technology , Key Laboratory of Knowledge Processing and Networked Manufacturing , College of Hunan Province , Xiangtan , Hunan , 411201
Abstract：The development of new theories or methods to solve mechanical fault diagnosis is a hot topic to many scholars. Fish-swarm Algorithm is used to the mechanical fault diagnosis because of its simple structure, good parallel and rapid computations. This paper presents an improved fish-swarm rear-end clustering algorithm based on the principle of artificial fish swarm algorithm. The model of fault diagnosis based on Fish-swarm algorithm is funded, and the similarity factor and discriminant factor is also definited .It is used to the analysis of the clustering of mechanical fault diagnosis. The result of an example shows that this method is effective.
2012, Vol. 31 
