A Multiagent based Vehicle Engine Fault Diagnosis

Xiaobing Wu, Dharmendra Sharma

    Research output: A Conference proceeding or a Chapter in BookConference contribution

    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 languageEnglish
    Title of host publicationKnowledge-Based Intelligent Information and Engineering Systems, KES 2007
    EditorsB Apollini, R Hewlett, L Jain
    Place of PublicationGermany
    PublisherSpringer
    Pages541-546
    Number of pages6
    ISBN (Print)9783540748267
    Publication statusPublished - 2007
    EventKES 2007 - Vietri sul Mare, Italy
    Duration: 12 Sep 200714 Sep 2007

    Conference

    ConferenceKES 2007
    CountryItaly
    CityVietri sul Mare
    Period12/09/0714/09/07

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  • Cite this

    Wu, X., & Sharma, D. (2007). A Multiagent based Vehicle Engine Fault Diagnosis. In B. Apollini, R. Hewlett, & L. Jain (Eds.), Knowledge-Based Intelligent Information and Engineering Systems, KES 2007 (pp. 541-546). Springer.