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Combined mode function and its application to mechanical fault diagnosis(PDF)

长安大学学报(自然科学版)[ISSN:1006-6977/CN:61-1281/TN]

Issue:
2011年03期
Page:
85-89
Research Field:
Publishing date:
2011-06-30

Info

Title:
Combined mode function and its application to mechanical fault diagnosis
Author(s):
GAO Qiang1 LIU Ben-chao1 FANG Xiang-bo1 DUAN Chen-dong2
1. School of Automobile, Chang'an University, Xi'an 710064, Shaanxi, China; 2. School of Electronic and Control Engineering, Chang'an University, Xi'an 710064, Shaanxi, China
Keywords:
mechanical engineering empirical mode decomposition health monitoring vibration analysis time-frequency analysis
PACS:
TH113.1
DOI:
-
Abstract:
Empirical Mode Decomposition(EMD)decomposes a signal into a number of intrinsic mode functions(IMFs)based on the local characteristic time scales of the signal. The IMFs indicate the intrinsic oscillation modes embedded in the signal. An improved empirical mode decomposition, named combined mode function, is investigated to solve the problem that IMFs sometimes are distorted, and failed to represent the characteristics of the signal due to the effects of noises. EMD is applied to decompose a signal into some IMFs, then certain IMFs are combined to obtain a combined mode function, which is more accurate to present the features of the signal. By using combined mode function, one practically acquires a new adaptive band-pass filter bank. Simulation experiments demonstrate that the combined mode function can increase EMD precision when noises are introduced into a signal. Then, the proposed approach is used to analyze a practical fault signal of an electrical machine in a power plant in China. The results show that the combined mode function can extract the signal characteristics more accurately and is useful for diagnosing the mechanical fault correctly. 7 figs, 9 refs.

References:

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Memo

Memo:
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Last Update: 2011-06-30