Fault feature extraction of rotating machinery based on wavelet transform and Self-organizing map network

In this paper, it expounded in detail the principle of energy spectrum analysis based on Discrete Wavelet Transform and Multi-resolution Analysis. In the aspect of study on feature extraction method, with investigating the feature of impact factor in vibration signals and considering the non-placidity and nonlinear of vibration diagnosis signals, this paper imported wavelet analysis and fractal theory as the tools of faulty signal feature description. Experimental results proved the validity of this method. To some extent, this method provides a good approach of solving the problem that fault feature symptom is described comprehensively.