In this paper, the method of empirical mode decomposition is introduced and the arithmetic of empirical mode decomposition is improved. The local mean with the envelope method of the extrema is substituted by an improved method, in which the local mean is computed by using window average method. The improved arithmetic is described in detail and the simulating model to validate the improved method is also presented in the paper. The results show the improved method has decreased the times of spline interpolation and saved the decomposition time. Moreover, all the data has participated in the computation of the local mean, thus the data to be used is increased in the improved method. Based on the improved empirical mode decomposition method, the defects of ball bearings are diagnosed practically and the results show that the proposed method is more powerful than traditional envelope analysis.

Date Published: 24 October 2006
PDF: 5 pages
Proc. SPIE 6357, Sixth International Symposium on Instrumentation and Control Technology: Signal Analysis, Measurement Theory, Photo-Electronic Technology, and Artificial Intelligence, 635708 (24 October 2006); doi: 10.1117/12.716691

Published in SPIE Proceedings Vol. 6357:
Sixth International Symposium on Instrumentation and Control Technology: Signal Analysis, Measurement Theory, Photo-Electronic Technology, and Artificial Intelligence
Jiancheng Fang; Zhongyu Wang, Editor(s)