A genetic-based fuzzy clustering algorithm for fault diagnosis in satellite attitude determination system

Lin Cai*, Yuancan Huang, Jiabin Chen

*此作品的通讯作者

科研成果: 书/报告/会议事项章节会议稿件同行评审

4 引用 (Scopus)

摘要

The paper presents a genetic-based fuzzy clustering algorithm for fault diagnosis in satellite attitude determination system(ADS). The traditional fuzzy c-means(FCM) algorithm is local search techniques that search for the optimum by using a hill-climbing techniques. Thus, it often fail in the search for global optimum. Genetic algorithm is a stochastic global optimization algorithm, their combination can prevent FCM being trapped in a local optimum and sensitive to the initializations. Simulation results show that the proposed approach have much higher probabilities of finding global optimal solutions than traditional FCM algorithm, and provide accurate clustering for fault mode.

源语言英语
主期刊名Proceedings - ISDA 2006
主期刊副标题Sixth International Conference on Intelligent Systems Design and Applications
834-837
页数4
DOI
出版状态已出版 - 2006
活动ISDA 2006: Sixth International Conference on Intelligent Systems Design and Applications - Jinan, 中国
期限: 16 10月 200618 10月 2006

出版系列

姓名Proceedings - ISDA 2006: Sixth International Conference on Intelligent Systems Design and Applications
1

会议

会议ISDA 2006: Sixth International Conference on Intelligent Systems Design and Applications
国家/地区中国
Jinan
时期16/10/0618/10/06

指纹

探究 'A genetic-based fuzzy clustering algorithm for fault diagnosis in satellite attitude determination system' 的科研主题。它们共同构成独一无二的指纹。

引用此