A practical, robust method of fault detection and diagnosis of a class of pneumatic train door commonly found in rapid transit systems is presented. The methodology followed is intended to be applied within a practical system where computation is distributed across a local data network for economic reasons. The health of the system is ascertained by extracting features from the trajectory profiles of the train door. This is incorporated into a low-level fault detection scheme, which relies upon using simple parity equations. Detailed diagnostics are carried out once a fault has been detected; for this purpose neural network models are utilized. This method of detection and diagnosis is implemented in a distributed architecture resulting in a practical, low-cost industrial solution. It is feasible to integrate the results of the diagnosis process directly into an operator's maintenance information system (MIS), thus producing a proactive maintenance regime.


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    Titel :

    Industrial fault diagnosis: Pneumatic train door case study


    Beteiligte:
    Lehrasab, N (Autor:in) / Dassanayake, H. P. B. (Autor:in) / Roberts, C (Autor:in) / Fararooy, S (Autor:in) / Goodman, C. J. (Autor:in)


    Erscheinungsdatum :

    2002-05-01


    Format / Umfang :

    9 pages




    Medientyp :

    Aufsatz (Zeitschrift)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch





    Industrial fault diagnosis: pneumatic train door case study

    Lehrasab, N. / Dassanayake, H. P. B. / Roberts, C. et al. | British Library Online Contents | 2002


    Industrial fault diagnosis: Pneumatic train door case study

    Lehrasab, N. / Dassanayake, H.P.B. / Roberts, C. et al. | Tema Archiv | 2002


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