The engine fault detection problem is of special interest in the automotive industry due to its direct implementation in the diagnostics of typical engine problems as well as engine preventive and predictive maintenance measures. The procedure of identifying the type and location of an engine fault can be very costly and time consuming. This paper is dedicated to the identification of more than 26 different engine faults using multi-level signal processing technique and an exhaustive search in a predefined database. This database can be easily modified and/or updated to include new types of faults; it also gives the flexibility of providing warning signals of unidentified problems whenever it detects one.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Engine Fault Detection Using Wavelet Packet Transforms


    Additional title:

    Sae Technical Papers


    Contributors:

    Conference:

    SAE 2013 World Congress & Exhibition ; 2013



    Publication date :

    2013-04-08




    Type of media :

    Conference paper


    Type of material :

    Print


    Language :

    English




    Compression of pre-scan-converted echocardiographic video using wavelet packet and integer wavelet transforms

    Hang, X. / Greenberg, N. L. / Thomas, J. D. | British Library Online Contents | 2006


    Target Detection in Sea-Clutter Using Stationary Wavelet Transforms

    Duk, Vichet / Rosenberg, Luke / Ng, Brian Wai-Him | IEEE | 2017


    Wavelet Transforms for Incident Detection on Motorways

    Cohen, S. / Jing, B. / ASCE; Urban Transportation Division; Committee of Advanced Technology | British Library Conference Proceedings | 1996


    Scale-band-dependent thresholding for signal denoising using undecimated discrete wavelet packet transforms [3813-51]

    Zhang, H. / Nosratinia, A. / Burrus, C. S. et al. | British Library Conference Proceedings | 1999