Presented is a gas turbine engine bearing diagnostic system that integrates information from various advanced vibration analysis techniques to achieve robust bearing health state awareness. This paper presents a computational algorithm for identifying power frequency variations and integer harmonics by using wavelet-based transform. The continuous wavelet transform with  the complex Morlet wavelet is adopted to detect the harmonics presented in a power signal. The algorithm based on the discrete stationary wavelet transform is adopted to denoise the wavelet ridges.


    Access

    Download


    Export, share and cite



    Title :

    WAVELET-BASED ALGORITHM FOR DETECTION OF BEARING FAULTS IN A GAS TURBINE ENGINE


    Contributors:


    Publication date :

    2014




    Type of media :

    Article (Journal)


    Type of material :

    Electronic Resource


    Language :

    Unknown




    Detection of Incipient Bearing Faults in a Gas Turbine Engine Using Integrated Signal Processing Techniques

    Sheldon, J. S. / Lee, H. / Watson, M. et al. | British Library Conference Proceedings | 2007



    Stress Wave Analysis of Turbine Engine Faults

    Board, D. B. / Institute of Electrical and Electronics Engineers | British Library Conference Proceedings | 2000



    GAS TURBINE ENGINE SHAFT BEARING CONFIGURATION

    ZUTSHI AMIT / PAYYOOR NARAYANAN / MAHESH SIVAKUMAR et al. | European Patent Office | 2025

    Free access