DocumentCode
3594825
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
Volume
1
fYear
2012
Firstpage
128
Lastpage
131
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;
fLanguage
English
Publisher
ieee
Conference_Titel
Computational Intelligence and Design (ISCID), 2012 Fifth International Symposium on
Print_ISBN
978-1-4673-2646-9
Type
conf
DOI
10.1109/ISCID.2012.40
Filename
6406935
Link To Document