A multiagent based vehicle engine fault diagnosis

Xiaobing Wu; Xueshan Gao; Dharmendra Sharma

doi:10.1007/978-3-540-74827-4_68

A multiagent based vehicle engine fault diagnosis

Xiaobing Wu^*, Xueshan Gao, Dharmendra Sharma

^*此作品的通讯作者

机电学院

科研成果: 书/报告/会议事项章节 › 会议稿件 › 同行评审

摘要

A special two-level neural network Multiagent system is used in vehicle engine fault diagnosis. Each agent contains a neural network (NN) for its intelligent. The first level is used to acquire the reasons of the fault and the second level is used to classify the fault. There are a few advantages for using two-level NN multiagent system. When new knowledge of faults is acquired, only the first level needs to be retrained. An agent system is added into the second level of the whole system, and the main structure of the network need not be changed. Under the cooperation of the relative agent system, we can diagnose out complex faults and synthetic faults with less resource and better performance.

源语言	英语
主期刊名	Knowledge-Based Intelligent Information and Engineering Systems
主期刊副标题	KES 2007 - WIRN 2007 - 11th International Conference, KES 2007, XVII Italian Workshop on Neural Networks, Proceedings
页	541-546
页数	6
版本	PART 2
DOI	https://doi.org/10.1007/978-3-540-74827-4_68
出版状态	已出版 - 2007
活动	11th International Conference on Knowledge-Based and Intelligent Information and Engineering Systems, KES 2007, and 17th Italian Workshop on Neural Networks, WIRN 2007 - Vietri sul Mare, 意大利期限: 12 9月 2007 → 14 9月 2007

出版系列

姓名	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
编号	PART 2
卷	4693 LNAI
ISSN（印刷版）	0302-9743
ISSN（电子版）	1611-3349

会议

会议	11th International Conference on Knowledge-Based and Intelligent Information and Engineering Systems, KES 2007, and 17th Italian Workshop on Neural Networks, WIRN 2007
国家/地区	意大利
市	Vietri sul Mare
时期	12/09/07 → 14/09/07

访问文件

10.1007/978-3-540-74827-4_68

其它文件与链接

链接到 Scopus 的出版物

引用此

Wu, X., Gao, X., & Sharma, D. (2007). A multiagent based vehicle engine fault diagnosis. 在 Knowledge-Based Intelligent Information and Engineering Systems: KES 2007 - WIRN 2007 - 11th International Conference, KES 2007, XVII Italian Workshop on Neural Networks, Proceedings (PART 2 编辑, 页码 541-546). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); 卷 4693 LNAI, 号码 PART 2). https://doi.org/10.1007/978-3-540-74827-4_68

Wu, Xiaobing ; Gao, Xueshan ; Sharma, Dharmendra. / A multiagent based vehicle engine fault diagnosis. Knowledge-Based Intelligent Information and Engineering Systems: KES 2007 - WIRN 2007 - 11th International Conference, KES 2007, XVII Italian Workshop on Neural Networks, Proceedings. PART 2. 编辑 2007. 页码 541-546 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); PART 2).

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title = "A multiagent based vehicle engine fault diagnosis",

abstract = "A special two-level neural network Multiagent system is used in vehicle engine fault diagnosis. Each agent contains a neural network (NN) for its intelligent. The first level is used to acquire the reasons of the fault and the second level is used to classify the fault. There are a few advantages for using two-level NN multiagent system. When new knowledge of faults is acquired, only the first level needs to be retrained. An agent system is added into the second level of the whole system, and the main structure of the network need not be changed. Under the cooperation of the relative agent system, we can diagnose out complex faults and synthetic faults with less resource and better performance.",

keywords = "Fault diagnosis, Multiagent, Neural network, Vehicle engine",

author = "Xiaobing Wu and Xueshan Gao and Dharmendra Sharma",

year = "2007",

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Wu, X, Gao, X & Sharma, D 2007, A multiagent based vehicle engine fault diagnosis. 在 Knowledge-Based Intelligent Information and Engineering Systems: KES 2007 - WIRN 2007 - 11th International Conference, KES 2007, XVII Italian Workshop on Neural Networks, Proceedings. PART 2 编辑, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 号码 PART 2, 卷 4693 LNAI, 页码 541-546, 11th International Conference on Knowledge-Based and Intelligent Information and Engineering Systems, KES 2007, and 17th Italian Workshop on Neural Networks, WIRN 2007, Vietri sul Mare, 意大利, 12/09/07. https://doi.org/10.1007/978-3-540-74827-4_68

A multiagent based vehicle engine fault diagnosis. / Wu, Xiaobing; Gao, Xueshan; Sharma, Dharmendra.
Knowledge-Based Intelligent Information and Engineering Systems: KES 2007 - WIRN 2007 - 11th International Conference, KES 2007, XVII Italian Workshop on Neural Networks, Proceedings. PART 2. 编辑 2007. 页码 541-546 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); 卷 4693 LNAI, 号码 PART 2).

科研成果: 书/报告/会议事项章节 › 会议稿件 › 同行评审

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T1 - A multiagent based vehicle engine fault diagnosis

AU - Wu, Xiaobing

AU - Gao, Xueshan

AU - Sharma, Dharmendra

PY - 2007

Y1 - 2007

N2 - A special two-level neural network Multiagent system is used in vehicle engine fault diagnosis. Each agent contains a neural network (NN) for its intelligent. The first level is used to acquire the reasons of the fault and the second level is used to classify the fault. There are a few advantages for using two-level NN multiagent system. When new knowledge of faults is acquired, only the first level needs to be retrained. An agent system is added into the second level of the whole system, and the main structure of the network need not be changed. Under the cooperation of the relative agent system, we can diagnose out complex faults and synthetic faults with less resource and better performance.

AB - A special two-level neural network Multiagent system is used in vehicle engine fault diagnosis. Each agent contains a neural network (NN) for its intelligent. The first level is used to acquire the reasons of the fault and the second level is used to classify the fault. There are a few advantages for using two-level NN multiagent system. When new knowledge of faults is acquired, only the first level needs to be retrained. An agent system is added into the second level of the whole system, and the main structure of the network need not be changed. Under the cooperation of the relative agent system, we can diagnose out complex faults and synthetic faults with less resource and better performance.

KW - Fault diagnosis

KW - Multiagent

KW - Neural network

KW - Vehicle engine

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SN - 9783540748267

T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

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BT - Knowledge-Based Intelligent Information and Engineering Systems

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Wu X, Gao X, Sharma D. A multiagent based vehicle engine fault diagnosis. 在 Knowledge-Based Intelligent Information and Engineering Systems: KES 2007 - WIRN 2007 - 11th International Conference, KES 2007, XVII Italian Workshop on Neural Networks, Proceedings. PART 2 编辑 2007. 页码 541-546. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); PART 2). doi: 10.1007/978-3-540-74827-4_68

A multiagent based vehicle engine fault diagnosis

摘要

出版系列

会议

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其它文件与链接

指纹

引用此