Fault Detection in a Water Hydraulic Motor Using a Wavelet Transform

    Volume 34, Issue 4 (July 2006)

    ISSN: 0090-3973

    CODEN: JTEOAD

    Published Online: 25 January 2006

    Page Count: 9


    Chen, HX
    School of Mechanical and Production Engineering, Nanyang Technological University,

    Lim, GH
    School of Mechanical and Production Engineering, Nanyang Technological University,

    Chua, PSK
    School of Mechanical and Production Engineering, Nanyang Technological University,

    (Received 15 March 2005; accepted 13 October 2005)

    Abstract

    This paper is concerned with the detection of a piston crack in a water hydraulic motor used in a fluid power system. The wavelet-based signal processing technique to detect a piston crack was studied. A complete procedure of wavelet-based vibration signal analysis was developed. A modified noise reduction method based on wavelet analysis for feature extraction of the impulse peak vibration excited by the piston was applied to the vibration data of a water hydraulic motor. A continuous wavelet transform (CWT) and a wavelet packet (WP) were applied to the analysis of the impulse vibration signals. The feature values of the peaks excited by the impulse vibration signals can be extracted by using WP to decompose and compress the de-noise signals. Moreover, the signal component indicative of a fault was identified through the analysis of the vibration signal in the time domain in wavelet analysis. This technique was shown to be a powerful tool for the fault detection of a water hydraulic motor.


    Paper ID: JTE12440

    DOI: 10.1520/JTE12440

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    Author
    Title Fault Detection in a Water Hydraulic Motor Using a Wavelet Transform
    Symposium , 0000-00-00
    Committee D18