Generalized Transmissibility Damage Indicator with Application to Wind Turbine Component Condition Monitoring

Long Zhang, Zi-Qiang Lang , Mayorkinos Papaelias

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    Frequency methods such as frequency spectrum
    analysis, frequency spike detection, demodulation, envelope spectrum
    method have been widely used for condition monitoring of
    engineering structural systems. Different from the conventional
    frequency methods, the transmissibility function (TF) represents
    the relationship between different system output responses such
    as, e.g. vibration and acoustic emission sensor measurements.
    This paper introduces a simple and effective generalized transmissibility
    damage indicator (GTDI) for TF based condition
    monitoring. Unlike the conventional transmissibility damage indicator
    (TDI), the new GTDI can improve the detection sensitivity,
    reduces noise effects and avoid dynamic loadings effects. This is
    achieved by combining multiple groups of data to obtain more
    accurate transmissibility analysis, exploiting all the available
    TFs, and using multiple references. This has two advantages.
    First, it does not require any other priori knowledge about
    the system responses. Therefore the method can be used for
    the condition monitoring of a wide range of components or
    systems. Further, the method can be easily implemented using
    Fast Fourier transform (FFT) or power spectra density (PSD)
    methods and therefore is computationally efficient. These make
    the method very suitable for implementing online real-time
    condition monitoring. The method is investigated by simulation
    studies and then applied to analyze the vibration data of the main
    bearing of operating wind turbines, producing very promising
    Original languageEnglish
    JournalIEEE Transactions on Industrial Electronics
    Issue number10
    Early online date14 Jun 2016
    Publication statusPublished - 2016


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