This paper presents a novel methodology for the diagnosis and prognosis of crucial gear faults, such as gear tooth fatigue cracking. Currently, an effective detection of tooth cracking can be achieved by using the autoregressive (AR) modeling approach, where the gear vibration signal is modeled by an AR model and gear tooth cracking is detected by identifying the sudden changes in the model's error signal. The model parameters can be estimated under the criteria of minimum power or maximum kurtosis of model errors. However, these model parameters possess no physical meaning about the monitored gear system. It is proposed that the AR model be replaced by a gear dynamics model (GDM) that contains physically meaningful parameters, such as mass, damping and stiffness. By identifying and tracking the changes in the parameters, it is possible to make diagnosis and prognosis of gear faults. For example, a reduction in mesh stiffness may indicate cracking of a gear tooth. Towards physical model-based prognosis, an adaptive (or optimization) strategy has been developed for approximating a gear signal using a simplified gear signal model. Preliminary results show that this strategy provides a feasible adaptive process for updating model parameters based on measured gear signal.


    Zugriff

    Zugriff über TIB

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    Toward dynamic model-based prognostics for transmission gears


    Beteiligte:
    Wang, Wenyi (Autor:in)


    Erscheinungsdatum :

    2002


    Format / Umfang :

    11 Seiten, 16 Quellen




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Print


    Sprache :

    Englisch




    Toward IVHM Prognostics

    Walsh, Kevin / Venti, Mike | NTRS | 2007


    Toward IVHM Prognostics

    K. Walsh / M. Venti | NTIS | 2007


    Steps Toward Prognostics of Faults in Bearings

    Madar, Eyal / Gazizulin, Dmitri / Klein, Renata et al. | British Library Conference Proceedings | 2018


    Probabilistic model based algorithms for prognostics

    He, H. / Shenliang Wu, / Banerjee, P. et al. | IEEE | 2006


    Work vehicle transmission prognostics system and method

    RYKEN MICHAEL J / BURJES ROGER W / GUGEL RAINER et al. | Europäisches Patentamt | 2022

    Freier Zugriff