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EARLY FAULT DIAGNOSIS OF ROLLING BEARING BASED ON WAVELET PACKET TRANSFORM ADAPTIVE TEAGER ENERGY SPECTRUM
Considering the early fault feature information of rolling bearings is difficult to identify,and form the frequency bands after wavelet packet decomposition can not be effectively determined and adaptive to extract the resonance band,the concept of amplitude entropy of frequency band is proposed.On this basis,the wavelet packet transform and Teager energy spectrum was combined,a rolling bearing early fault feature extraction method is proposed based on wavelet packet transform adaptive Teager energy spectrum.Firstly,the vibration signal was decomposed by wavelet packet,and the frequency amplitude entropy of each subband was calculated.Then,on the basis of kurtosis index to determine the best entropy and the optimal decomposition level of wavelet packet,thus,the resonance band was extracted adaptively and effectively.Finally,the Teager energy spectrum analysis was performed to identify the frequency of the bearing fault.Through the signal simulation and experimental data analysis it verifies the effectiveness of the proposed method.
EARLY FAULT DIAGNOSIS OF ROLLING BEARING BASED ON WAVELET PACKET TRANSFORM ADAPTIVE TEAGER ENERGY SPECTRUM
Considering the early fault feature information of rolling bearings is difficult to identify,and form the frequency bands after wavelet packet decomposition can not be effectively determined and adaptive to extract the resonance band,the concept of amplitude entropy of frequency band is proposed.On this basis,the wavelet packet transform and Teager energy spectrum was combined,a rolling bearing early fault feature extraction method is proposed based on wavelet packet transform adaptive Teager energy spectrum.Firstly,the vibration signal was decomposed by wavelet packet,and the frequency amplitude entropy of each subband was calculated.Then,on the basis of kurtosis index to determine the best entropy and the optimal decomposition level of wavelet packet,thus,the resonance band was extracted adaptively and effectively.Finally,the Teager energy spectrum analysis was performed to identify the frequency of the bearing fault.Through the signal simulation and experimental data analysis it verifies the effectiveness of the proposed method.
EARLY FAULT DIAGNOSIS OF ROLLING BEARING BASED ON WAVELET PACKET TRANSFORM ADAPTIVE TEAGER ENERGY SPECTRUM
WANG ChaoGe (author) / REN XuePing (author) / SUN BaiYi (author) / WANG JianGuo (author)
2017
Article (Journal)
Electronic Resource
Unknown
Rolling bearing , Amplitude entropy of frequency band , Wavelet packet transform , Teager energy spectrum , The adaptive resonance frequency band extraction , Early fault , Mechanical engineering and machinery , TJ1-1570 , Materials of engineering and construction. Mechanics of materials , TA401-492
Metadata by DOAJ is licensed under CC BY-SA 1.0
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