The Proposal of this paper is to demonstrate the diagnosis methodology based on Bayesian Net and fuzzy logic to indicate failure probability for vehicle systems and other segments, for instance medical and Aeronautic. This work was initially developed in a dissertation that has succeeded in developing a system of fault diagnosis for diesel engines and now this article demonstrated the possibility of extending this methodology to other vehicle systems and other segments science. Also extension to other areas was also added to the technique of logic that adds the advantage of supporting the fuzzy logic in complex environments, such as the vehicle approached the diagnosis, aerospace and medical.


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    Titel :

    Diagnose Methodology Based on Bayesian Net to Indicate Failure Probability


    Weitere Titelangaben:

    Sae Technical Papers


    Beteiligte:

    Kongress:

    SAE Brasil 2010 Congress and Exhibit ; 2010



    Erscheinungsdatum :

    06.10.2010




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Print


    Sprache :

    Englisch


    Schlagwörter :


    Diagnose Methodology Based on Bayesian Net to Indicate Failure Probability

    Gomes, C.W. / Society of Automotive Engineers | British Library Conference Proceedings | 2008


    Making and Adjusting Failure Probability Estimates Using a Bayesian Approach

    Ebey, S. F. / Clemens, P. L. / System Safety Society | British Library Conference Proceedings | 1996


    Nonparametric Bayesian Method for Robot Anomaly Diagnose

    Zhou, Xuefeng / Wu, Hongmin / Rojas, Juan et al. | Springer Verlag | 2020

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