Fault feature extraction and representation is the most crucial problem for the reliability and accuracy in the mechanical condition monitoring and fault diagnosis. This dissertation explores the applications of the theories with absolute value of autocorrelation, wavelet fractal analysis, independent component analysis and blind source separation in the feature extraction, representation and classification of vibration signal for the rotary machinery, such as bearing and gear.
In chapter 1, at first, t...