Shannon Entropy of Binary Wavelet Packet Subbands and Its Application in Bearing Fault Extraction
作者： , ,
DOI: 10.3390/E20040260
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摘要: The fast spectrum kurtosis (FSK) algorithm can adaptively identify and select the resonant frequency band extract fault feature via envelope demodulation method. However, FSK method has some limitations due to its susceptibility noise random knocks. To overcome this shortage, a new is proposed in paper. Firstly, we use binary wavelet packet transform (BWPT) instead of finite impulse response (FIR) filter bank as segmentation Following this, Shannon entropy each calculated. appropriate center bandwidth are chosen for filtering by using inverse index. Finally, filtered signal analyzed faulty information obtained from spectrum. Through simulation experimental verification, found that is—to extent—better than frequency-selective index, more accurate extraction.
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