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.
王栋,丁雪娟. 基于包络解调随机共振和CEEMD的机械早期微弱故障诊断方法研究[J]. 计量学报, 2016, 37(2): 185-190.
WANG Dong,DING Xue-juan. Study on Mechanical Early Weak Fault Diagnosis method Based on CEEMD and Envelope Demodulation Stochastic Resonance. Acta Metrologica Sinica, 2016, 37(2): 185-190.
［1］Rybczyński J. The possibility of evaluating turbo-set bearing misalignment defects on the basis of bearing trajectory features［J］. Mechanical Systems and Signal Processing, 2011, 25(2): 521-536.
［2］谢平, 王欢, 杜义浩. 基于EMD和Wigner-Ville分布的机械故障诊断方法研究［J］.计量学报, 2010, 31(5): 390-394.
［3］刘彬, 蒋金水, 于伟凯. EMD相关度去噪及其在轧机信号处理中的应用［J］.计量学报, 2009, 30(1): 73-77.
［4］Huang N E, Shen Z, Long S R, et al. The empirical mode decomposition and the Hilbert spectrum for nonlinear and non-stationary time series analysis［J］.Proceedings of the Royal Society of London, 1998, 454(1): 903-995.
［5］Du Xianfeng, Li Zhijun, Bi Fengrong, et al. Source Separation of Diesel Engine Vibration Based on the Empirical Mode Decomposition and Independent Component Analysis［J］.Chinese Journal of Mechanical Engineering, 2012, 25(3): 557-563.
［6］孟宗, 顾海燕. 基于盲源分离去噪和HHT的旋转机械故障诊断［J］.计量学报, 2013, 34(3): 242-246.
［7］Wu Z H, Huang N E. Ensemble empirical mode decomposition: A noise assisted data analysis method［J］.Advances in Adaptive Data Analysis, 2008, 1(1): 1-41.
［8］Yeh Jiarong, Shieh Jiannshing, Huang N E. Complementary Ensemble Empirical Mode Decomposit ion: A Novel Noise Enhanced Dat a Analysis Method［J］.Advances in Adaptive Data Analysis, 2010, 2(2): 135-156.
［9］Benzi R, Sutera A, Vulpiana A. The mechanism of stochastic resonance［J］.Journal of Physics A: Mathematical and General, 1981, (14): 453-257.
［10］时培明, 丁雪娟, 韩东颖.基于变尺度频移带通随机共振的多频微弱信号检测方法［J］.计量学报, 2013, 34(3): 282-288.
［11］王太勇,胡世广,冷永刚,等.基于变尺度随机共振的油管漏磁信号检测［J］.计量学报, 2008, 29(1): 69-72.
［12］胡清忠, 褚福磊.基于Hilbert 解调的滚动轴承故障诊断分析［J］.振动与冲击, 2010, 29( S): 242-244.
2016, Vol. 37 
