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

^*Corresponding author for this work

School of Mechatronical Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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.

Original language	English
Title of host publication	Knowledge-Based Intelligent Information and Engineering Systems
Subtitle of host publication	KES 2007 - WIRN 2007 - 11th International Conference, KES 2007, XVII Italian Workshop on Neural Networks, Proceedings
Pages	541-546
Number of pages	6
Edition	PART 2
DOIs	https://doi.org/10.1007/978-3-540-74827-4_68
Publication status	Published - 2007
Event	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, Italy Duration: 12 Sept 2007 → 14 Sept 2007

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Number	PART 2
Volume	4693 LNAI
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	11th International Conference on Knowledge-Based and Intelligent Information and Engineering Systems, KES 2007, and 17th Italian Workshop on Neural Networks, WIRN 2007
Country/Territory	Italy
City	Vietri sul Mare
Period	12/09/07 → 14/09/07

Keywords

Fault diagnosis
Multiagent
Neural network
Vehicle engine

Access to Document

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

Cite this

Wu, X., Gao, X., & Sharma, D. (2007). A multiagent based vehicle engine fault diagnosis. In 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 ed., pp. 541-546). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 4693 LNAI, No. 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. ed. 2007. pp. 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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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",

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Wu, X, Gao, X & Sharma, D 2007, A multiagent based vehicle engine fault diagnosis. in 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 edn, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), no. PART 2, vol. 4693 LNAI, pp. 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, Italy, 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. ed. 2007. p. 541-546 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 4693 LNAI, No. PART 2).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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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.

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Wu X, Gao X, Sharma D. A multiagent based vehicle engine fault diagnosis. In 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 ed. 2007. p. 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

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