Abstract
The spectral kurtosis (SK) is a useful tool for locating the non-stationary component in the single source signal. It has been verified by the mechanical fault diagnosis. The fast kurtogram (FK) is an improvement method based on the SK. However, for the signals with lower signal noise ratio (SNR), FK is not able to locate the chatter. In this paper, an on-line chatter monitoring using the FK and the frequency band power (FBP) is proposed to resolve this problem. Through the application of the FK, the frequency band with the largest SK can be found. In order to enhance the SK, a bandpass filter is designed. However, for the unstable cutting process, SK is not increased at all. Hence, FBP is adopted to monitor the chatter according to the energy change. The proposed method is verified by the milling experiments and satisfactory detection results are obtained.
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