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A method of test points optimization selection based on improved bacterial foraging algorithm

  • Beihang University

科研成果: 书/报告/会议事项章节会议稿件同行评审

摘要

In this paper, an optimal selection method of the test points in the field of test-Ability design is provided. Based on bacterial foraging algorithm and improved particle swarm optimization algorithm. This proposed method, which is named SC BFO (Swarm Cooperation Bacteria Foraging Optimization), is applied in optimization selection of test points. Firstly, in order to ensure the availability of the algorithm, the reliability, accuracy and robustness of the algorithm are tested by using the classical test function. Subsequently, the optimization algorithm is used in a case of test-Ability design and the simulation results show that FDR (Fault Detection Rate) and FIR (Fault Isolation Rate) are both improved as well as the cost of test is reduced by using the SC BFO algorithm.

源语言英语
主期刊名Proceedings of 2016 Prognostics and System Health Management Conference, PHM-Chengdu 2016
编辑Qiang Miao, Zhaojun Li, Ming J. Zuo, Liudong Xing, Zhigang Tian
出版商Institute of Electrical and Electronics Engineers Inc.
ISBN(电子版)9781509027781
DOI
出版状态已出版 - 16 1月 2017
活动7th IEEE Prognostics and System Health Management Conference, PHM-Chengdu 2016 - Chengdu, Sichuan, 中国
期限: 19 10月 201621 10月 2016

出版系列

姓名Proceedings of 2016 Prognostics and System Health Management Conference, PHM-Chengdu 2016

会议

会议7th IEEE Prognostics and System Health Management Conference, PHM-Chengdu 2016
国家/地区中国
Chengdu, Sichuan
时期19/10/1621/10/16

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