&nbsp;A new method for acoustic emission signal de-noised and fault diagnosis&nbsp;

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Journal of Vibration and Shock ›› 2018, Vol. 37 ›› Issue (4) : 75-81.

A new method for acoustic emission signal de-noised and fault diagnosis

Zhang Rui1， Deng Aidong1，Si Xiaodong2， Liu Dongying1， Li Jing,3

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Abstract

Acoustic emission signals are highly susceptible to noise interference in rotating machinery fault diagnosis. The empirical mode decomposition (EMD) associates with mode mixing, this paper achieved a method that de-noising and the fault diagnosis of the rotating machinery AE signal based on empirical wavelet transform. This method takes the advantages of the EMD and wavelet transform, classifying the Fourier spectrum by its adaptive property, constructing the wavelet filter bank to extract the different intrinsic mode components of acoustic emission signal, which can eliminate the mode mixing phenomenon. Then the Hilbert transform was carried on the component of the acoustic emission signal so as to realize the de-noising and fault diagnosis. Adopting this method to de-noising the simulations signal that has been added noise, at the same condition, compared with the result of global threshold value de-noising, default threshold value de-noising, tackle high frequency coefficient de-noising based on dB4 and EMD de-noising. Applying this method in the practical AE rubbing signal. Results showed that: Intrinsic modes of the signal can be decomposed effectively through EWT method, the decomposed mode is less and there is no mode that is difficult to explain. Furthermore, de-noising effect is superior to other methods and has great advantage in AE signal fault diagnosis.

Key words

empirical wavelet transform / mode decomposition / acoustic emission signal / de-noising

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Zhang Rui1， Deng Aidong1，Si Xiaodong2， Liu Dongying1， Li Jing,3. A new method for acoustic emission signal de-noised and fault diagnosis [J]. Journal of Vibration and Shock, 2018, 37(4): 75-81

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