|
Abstract: Different from the FFT-based methods, the objects of the
multifractal spectrum treaded with are the signals’ geometry features.
Before, the inherent limitations of the algorithm for the multifractal
spectrum limited its application. Now, the wavelet local maxima modulus
based method is received more attentions because it can calculate the
multifractal spectrum effectively and simply. The concept of
multifractal spectrum is presented systematically and the wavelet local
maxima modulus based method is introduced detailedly. The way of
applying the multifractal spectrum for fault diagnosis is discussed. The
vibration signals of four kinds of typical faults: unbalance, oil whirl,
coupling misalignment and rub-impact are then studied. The result shows
that the geometry features of vibration signals can be reflected through
multifractal spectrum, which provides an effective way for fault
diagnosis.
Key words: Wavelet analysis Wavelet modulus maxima Multifractal
Vibration signal Fault diagnosis
CLC No: TH165.3
国家自然科学基金资助项目(1990501). Received 20010711, received in revised form
20011230
|