Study on Method of Complex Equipment Health Condition Classification

摘要：

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.

关键词： health management health condition classification improved FCM algorithms

作者: Liu Zhi-yong Jia Xi-sheng

作者单位: Management dept. Mechanical Engineering Academy ShiJiaZhuang, HeBei Province, China Train dept.Mechanical Engineering Academy ShiJiaZhuang, HeBei Province, China

会议类型: 国际会议

会议名称: 2012 Fifth International Symposium on Computational Intelligence and Design 第五届计算智能与设计国际会议 ISCID 2012

会议地点: 杭州

会议语种:英文

页码: 128-131

在线出版日期: 2012-10-28（万方平台首次上网日期，不代表论文的发表时间）