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

Lin Cai; Yuancan Huang; Jiabin Chen

doi:10.1109/ISDA.2006.57

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

Beijing Institute of Technology

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
页	834-837
页数	4
DOI	https://doi.org/10.1109/ISDA.2006.57
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 2006 → 18 10月 2006

出版系列

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

会议

会议	ISDA 2006: Sixth International Conference on Intelligent Systems Design and Applications
国家/地区	中国
市	Jinan
时期	16/10/06 → 18/10/06

访问文件

10.1109/ISDA.2006.57

其它文件与链接

链接到 Scopus 的出版物

引用此

Cai, L., Huang, Y., & Chen, J. (2006). A genetic-based fuzzy clustering algorithm for fault diagnosis in satellite attitude determination system. 在 Proceedings - ISDA 2006: Sixth International Conference on Intelligent Systems Design and Applications (页码 834-837). 文章 4021547 (Proceedings - ISDA 2006: Sixth International Conference on Intelligent Systems Design and Applications; 卷 1). https://doi.org/10.1109/ISDA.2006.57

Cai, Lin ; Huang, Yuancan ; Chen, Jiabin. / A genetic-based fuzzy clustering algorithm for fault diagnosis in satellite attitude determination system. Proceedings - ISDA 2006: Sixth International Conference on Intelligent Systems Design and Applications. 2006. 页码 834-837 (Proceedings - ISDA 2006: Sixth International Conference on Intelligent Systems Design and Applications).

@inproceedings{b4e9f083c7f24e84a692f7a801f7d209,

title = "A genetic-based fuzzy clustering algorithm for fault diagnosis in satellite attitude determination system",

abstract = "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.",

author = "Lin Cai and Yuancan Huang and Jiabin Chen",

year = "2006",

doi = "10.1109/ISDA.2006.57",

language = "English",

isbn = "0769525288",

series = "Proceedings - ISDA 2006: Sixth International Conference on Intelligent Systems Design and Applications",

pages = "834--837",

booktitle = "Proceedings - ISDA 2006",

note = "ISDA 2006: Sixth International Conference on Intelligent Systems Design and Applications ; Conference date: 16-10-2006 Through 18-10-2006",

}

Cai, L, Huang, Y & Chen, J 2006, A genetic-based fuzzy clustering algorithm for fault diagnosis in satellite attitude determination system. 在 Proceedings - ISDA 2006: Sixth International Conference on Intelligent Systems Design and Applications., 4021547, Proceedings - ISDA 2006: Sixth International Conference on Intelligent Systems Design and Applications, 卷 1, 页码 834-837, ISDA 2006: Sixth International Conference on Intelligent Systems Design and Applications, Jinan, 中国, 16/10/06. https://doi.org/10.1109/ISDA.2006.57

A genetic-based fuzzy clustering algorithm for fault diagnosis in satellite attitude determination system. / Cai, Lin; Huang, Yuancan ; Chen, Jiabin.
Proceedings - ISDA 2006: Sixth International Conference on Intelligent Systems Design and Applications. 2006. 页码 834-837 4021547 (Proceedings - ISDA 2006: Sixth International Conference on Intelligent Systems Design and Applications; 卷 1).

科研成果: 书/报告/会议事项章节 › 会议稿件 › 同行评审

TY - GEN

T1 - A genetic-based fuzzy clustering algorithm for fault diagnosis in satellite attitude determination system

AU - Cai, Lin

AU - Huang, Yuancan

AU - Chen, Jiabin

PY - 2006

Y1 - 2006

N2 - 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.

AB - 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.

UR - https://www.scopus.com/pages/publications/34547519331

U2 - 10.1109/ISDA.2006.57

DO - 10.1109/ISDA.2006.57

M3 - Conference contribution

AN - SCOPUS:34547519331

SN - 0769525288

SN - 9780769525280

T3 - Proceedings - ISDA 2006: Sixth International Conference on Intelligent Systems Design and Applications

SP - 834

EP - 837

BT - Proceedings - ISDA 2006

T2 - ISDA 2006: Sixth International Conference on Intelligent Systems Design and Applications

Y2 - 16 October 2006 through 18 October 2006

ER -

Cai L, Huang Y , Chen J. A genetic-based fuzzy clustering algorithm for fault diagnosis in satellite attitude determination system. 在 Proceedings - ISDA 2006: Sixth International Conference on Intelligent Systems Design and Applications. 2006. 页码 834-837. 4021547. (Proceedings - ISDA 2006: Sixth International Conference on Intelligent Systems Design and Applications). doi: 10.1109/ISDA.2006.57

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

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