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Study on Application of EMD and HOC in Fault Diagnosis for Rolling Bearings

YANG Wei-xin;JIANG Qin-yu;WANG Zhen;GUO Fang

2011, 31 (5): 142-145. DOI: 10.3969/j.issn.1006-1355-2011.05.033

Abstract （1693）

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Resonant demodulation is one of the most commonly used methods for rolling bearing fault diagnosis. However, this method is less effective sometimes since the early fault signal contains strong background noise. In this paper, a new denoising method based on empirical mode decomposition (EMD) and high-order cumulative quantities (HOC) is proposed. Fault signals are firstly decomposed into several intrinsic mode functions and then each function is analyzed and reconstructed using higher-order cumulative quantities. Finally, the fault characteristics of rolling bearing are extracted by using resonance demodulation. A practical example of fault diagnosis shows that this method has more preponderant than the traditional resonance demodulation method.

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《Time Series Distance Approach for RubImpact Fault Analysis of Rotor System Based on EMD-AR Method》

WANG Zhen;QI Gui-bing;JIANG Qin-yu;

2010, 30 (4): 72-75. DOI: 10.3969/j.issn.1006-1355.2010.04.020

Abstract （1761）

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In this paper, the nonlinear vibration signals of a rotor system with single point local rubimpact faults are decomposed into a number of intrinsic mode functions (IMF) with EMD method. The AR model for each IMF component is then established. Combining the Mahalanobis distance criterion function with KL information, an approach of time series distance analysis for the faults diagnoses is proposed. Experimental results show that this approach is good.