ICE Fault Diagnosis Method Based on Mutual Information and WVD Time-Frequency Analysis

A new time-frequency analysis method based on mutual information and EMD-WVD time-frequency analysis is proposed. The method uses EMD to decompose signals into independent intrinsic mode functions (IMF), uses the mutual information of EMD intrinsic mode components and original signal as basis to det...

Full description

Saved in:
Bibliographic Details
Published inApplied Mechanics and Materials Vol. 525; no. Development of Industrial Manufacturing; pp. 741 - 745
Main Authors Wang, Xin Jun, Cai, Yan Ping, Lin, Xu Ze
Format Journal Article
LanguageEnglish
Published Zurich Trans Tech Publications Ltd 01.02.2014
Subjects
Decomposition
Fault diagnosis
Faults
Information retrieval
Time-frequency analysis
Feature Extraction
Empirical Mode Decomposition (EMD)
WVD
Mutual Information (MI)
Online AccessGet full text

Cover

More Information
Summary:A new time-frequency analysis method based on mutual information and EMD-WVD time-frequency analysis is proposed. The method uses EMD to decompose signals into independent intrinsic mode functions (IMF), uses the mutual information of EMD intrinsic mode components and original signal as basis to determine EMD false modal component, and uses WVD of EMD true Intrinsic Mode to reconstruct the WVD of original signal for feature information extraction. ICE fault signal time-frequency analysis results show that the proposed method can effectively improve the accuracy of WVD time-frequency analysis, and correctly analyze characteristics of the signal.
Bibliography:Selected, peer reviewed papers from the 2013 2nd International Conference on Sustainable Energy and Environmental Engineering (ICSEEE 2013), 28-29 December, 2013, Shenzhen, China
ObjectType-Article-2
SourceType-Scholarly Journals-1
ObjectType-Feature-1
content type line 23
ISBN:3038350230
9783038350231
ISSN:1660-9336
1662-7482
1662-7482
DOI:10.4028/www.scientific.net/AMM.525.741