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| Study on Mechanical Early Weak Fault Diagnosis method Based on CEEMD and Envelope Demodulation Stochastic Resonance |
| WANG Dong,DING Xue-juan |
| Zhong Neng Power-Tech Development Co Ltd, Beijing 100034, China |
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Abstract Aiming at the early fault feature extraction problem of mechanical vibration signal under noise background, a novel method based on envelope demodulation stochastic resonance and CEEMD is proposed . With the method, the mechanical fault signal with noise is processed by envelope demodulation, and then through stochastic resonance system the rescaling signals are enhanced. Finally the output result is decomposed by CEEMD, obtaining the fault feature components to realize feature extraction and fault diagnosis. The rolling bearing fault diagnosis example shows that the method can not only improve the signal amplitude and reduce the false component, but also improve CEEMD algorithm precision and effectively extract fault signal submerged in noise.
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Received: 28 September 2014
Published: 27 January 2016
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2016, Vol. 37 
