Fault diagnostics are increasingly important for ensuring vehicle safety and reliability. One of the issues in vehicle fault diagnosis is the difficulty of successful interpretation of failure symptoms to correctly diagnose the real root cause. This paper presents an innovative Bayesian network based method for guiding off-line vehicle fault diagnosis. By using a vehicle infotainment system as a case study, a number of Bayesian diagnostic models have been established for fault cases with single and multiple symptoms. Particular considerations are given to the design of the Bayesian model structure, determination of prior probabilities of root causes, and diagnostic procedure. In order to unburden the computation, an object oriented model structure has been adopted to prevent the model from becoming overly large. It is shown that the proposed method is capable of guiding vehicle diagnostics in a probabilistic manner. Furthermore, the method features a multiple-symptoms-orientated troubleshooting strategy, and is capable of diagnosing multiple symptoms optimally and simultaneously.


    Zugriff

    Zugriff über TIB

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    Probability based vehicle fault diagnosis: Bayesian network method


    Weitere Titelangaben:

    Wahrscheinlichkeitsbasierte Fahrzeug-Fehlerdiagnose: Bayes-Netzwerk-Verfahren


    Beteiligte:
    Huang, Yingping (Autor:in) / McMurran, Ross (Autor:in) / Dhadyalla, Gunwant (Autor:in) / Jones, R. Peter (Autor:in)

    Erschienen in:

    Erscheinungsdatum :

    2008


    Format / Umfang :

    11 Seiten, 9 Bilder, 2 Tabellen, 10 Quellen




    Medientyp :

    Aufsatz (Zeitschrift)


    Format :

    Print


    Sprache :

    Englisch





    Fault Diagnosis of RAT Actuator Based on Bayesian Network

    Huang, Yan / Cai, Jing / Dai, Dingqiang | IEEE | 2020


    AVEC060172 Bayesian Belief Network Based Fault Diagnosis in Automotive Electronic Systems

    Huang, Y. / Antory, D. / Jones, R. P. et al. | British Library Conference Proceedings | 2006


    Intelligent Building Fault Diagnosis Based on Wavelet Transform and Bayesian Network

    Fu, Jundong / Huang, Luming / Chen, Li et al. | Springer Verlag | 2019


    Bayesian Belief Network Based Fault Diagnosis in Automotive Electronic Systems

    Huang, Y. / Antory, D. / Jones, R. P. et al. | British Library Conference Proceedings | 2006