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| Noise Assisted EMD-1.5 Dimension Spectrum for Signal Anti Alias Decomposition and Feature Extraction |
| CHEN Lue1,2;ZI Yanyang1;HE Zhengjia1;YUAN Jing1 |
| (1.State Key Laboratory for Manufacturing System ,Xi’an Jiaotong University, Xi’an 710049；2．Beijing Aerospace Control Center, Beijing 100094) |
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Abstract To effectively extract the weak fault features of core components of the large-scale power equipment, a new fault diagnosis method based on noise assisted EMD- 1.5 dimension spectrum is proposed. The characteristic of signal extreme intervals affects the appearance of mode mixing on EMD method, according to this status, the evaluation method of the characteristic of signal extreme intervals is proposed, the principle that Gaussian white noise helping to avoid mode mixing is analyzed. Noise assisted EMD method is get by adding Gaussian white to original signal to improve the capability of signal anti alias decomposition. Meanwhile, noise assisted EMD combines with 1.5 dimension spectrum to get a new fault diagnosis method, which has the capability of effectively anti alias decomposition and extracting the nonlinear coupling feature, to extract the weak fault features. Finally, noise assisted EMD- 1.5 dimension spectrum is effectively verified by simulation experiment and engineering example of electric locomotive rolling bearing fault diagnosis.
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Received: 24 February 2009
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2010, Vol. 29 
