Research on Fault Diagnosis Method Based on Empirical Mode Decomposition & Time-Frequency Reassignment

Abstract:

The reassignment method is a technique for sharpening a time-frequency representation by mapping the data to time-frequency coordinates that are nearer to the true region of support of the analyzed signal. The reassignment method has been proved to produce a better localization of the signal components and improve the readability of the time-frequency representation by concentrating its energy at a center of gravity. But there are still few cross-terms. Then, the empirical mode decomposition is introduced to the reassignment method to suppress the interference of the cross-term encountered in processing the multi-component signals. The multi-component signal can be decomposed into a finite number intrinsic mode function by using EMD. Then, the reassignment method can be calculated for each of the intrinsic mode function. Simulation analysis is presented to show that this method can improve the localization of time-frequency representation and reduce the cross terms. The vibration signals measured from diesel engine in the stage of deflagrate were analyzed with the reassignment method. Experimental results indicate that this method has good potential in mechanical fault feature extraction.

• Periodical: Advanced Materials Research (Volumes 433-440)
• Pages: 6256-6261
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.433-440.6256
• Online since: January 2012
• Authors: Zhi Hua Hao, Zhuang Ma, Hao Miao Zhou
• Keywords: Cross-Term, Empirical Mode Decomposition (EMD), Fault Diagnosis, Reassignment Method

References

[1] F. Auger, P. Flandrin, P. Goncalves, O. Lemoine, Time-frequency toolbox tutorial for use with MATLAB, CNRS and Rice University. 1995-(1996).

[2] F. Auger, P. Flandrin, Generalization of the Reassignment Method to All Bilinear Time-frequency and Time-scale Representation, Proc IEEE ICASSP, pp.317-320, Aprial (1994).

DOI: 10.1109/icassp.1994.389741

[3] F. Auger, P. Flandrin, The Why and How of the Time-frequency Reassignment. IEEE International Symposium on Time-Frequency and Time-scale Analysis, pp.197-200, May (1994).

DOI: 10.1109/tfsa.1994.467259

[4] N. E. Huang, Z. Shen, S. R. Long, et al., The empirical mode decomposition and hilbert spectrum for nonlinear and nonstationary time series analysis. Proceedings of the Royal Society A, vol. 454, p.903–995, (1998).

[5] G. Q. Ren, H. Q. Zhen, W. Wang, Research of Neutral Network Technique in Engines Wear Diagnosis. Journal of Test and Measurement Technology, vol. 16, pp.56-58, January 2002. (in Chinese).

[6] J. S. Zhao, W. B. Yan, M. L. Zhu, Grey Fault Diagnosis of KV490Working Diesel Engine. Journal of Test and Measurement Technology, vol. 15, pp.126-130, February 2001. (in Chinese).

[7] Z. Wang, Research on Fault Diagnosis method and Application for Diesel Engine Based on Local-wave Analysis. Doctor Degree thesis. Dalian, Liaoning, China: Dalian University of Technology, June 2002. (in Chinese).