Abstract
In order to extract looseness fault feature for a generator set, the paper introduces a new time-frequency analysis method, called frequency slice wavelet transform (FSWT). The time-frequency distribution of signal is firstly processed by the FSWT. Then some interesting regions on the FSWT time-frequency map are selected for further analysis. Based on zoom and refine analysis, fault features are finally extracted and separated. Experiment and engineering application research showed that this method is effective.
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