关键词: 故障诊断, 特征提取, Hilbert谱, 奇异值分解

Abstract:

A new fault diagnosis method based on Hilbert spectrum and singular value decomposition was proposed and applied to bearing falut diagnosis. Firstly, the bearing vibration signals were decomposed into a set of intrinsic mode functions by means of the empirical mode decomposition method. Then, Hilbert transform was applied to each component and get the Hilbert spectrum of the signals. To extract the time-frequency feature of the faulted bearing the singular decomposition value method was used to the Hilbert specturm. Finally,the singular values were used as the feature vectore and the support vectore machine method was used to identify the different faults.Experiments were conducted on roller bearing without faults,with inner-race faults, ball and outer-race faults and several levels of fault severity. The experimental results show that the proposed method is effective.

Key words: fault diagnosis, feature extraction, Hilbert spectrum, singular value decomposition