Title :
Study on Method of Complex Equipment Health Condition Classification
Author :
Liu Zhi-yong ; Jia Xi-sheng
Author_Institution :
Manage. Dept., Mech. Eng. Acad. ShiJiaZhuang, Shijiazhuang, China
Abstract :
The classification principles of the complex equipment health condition were proposed. the basic thought of fuzzy C means clustering algorithm (FCM) was analyzed. Further more, the advantages and disadvantages of traditional FCM were discussed. Then, the improved FCM algorithms based on artificial bee colony algorithm was suggested. Finally, complex equipment health condition classification scheme based on gray scale health index was put forward.
Keywords :
condition monitoring; fuzzy set theory; mechanical engineering computing; optimisation; pattern clustering; FCM; artificial bee colony algorithm; complex equipment health condition classification; fuzzy C means clustering algorithm; gray scale health index; Algorithm design and analysis; Classification algorithms; Clustering algorithms; Indexes; Linear programming; Maintenance engineering; Optimization; classification; health condition; health management; improved FCM algorithms;
Conference_Titel :
Computational Intelligence and Design (ISCID), 2012 Fifth International Symposium on
Print_ISBN :
978-1-4673-2646-9
DOI :
10.1109/ISCID.2012.40
