Noval fault diagnosis approach using time-frequency slice analysis and its application

In order to extract fault features from vibration signal,a noval fault diagnosis approach using time-frequency slice analysis was proposed.Vibration signal was decomposed by applying frequency slice wavelet transform(FSWT).Thereafter,on the basis of time-frequency energy distribution of the decomposed components,zoom analysis was adopted over those interested time-frequency slice intervals,selected for feature extraction.By making time-frequency segmentation and signal reconstruction,features in time and frequency domain were revealed over the selected slice intervals.As a result,the fault features were successfully separated from the vibration signal.The proposed approach can efficiently extract correct fault characteristic information for condition monitoring and fault diagnosis.A satisfactory effect has appeared on rub fault detection of a gear-box in an oil refinery.