Multi-Fractal Based Fault Diagnosis Method of Rotating Machinery

Aiming at complex features of the fault rotating machinery such as nonstationary and nonlinearity, a new method for fault diagnosis based on multi-fractal was introduced. The vibration signals firstly are analyzed by multi-fractal theory and have multi-fractal characteristics. Then the area of multi...

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Bibliographic Details
Published inApplied Mechanics and Materials Vol. 130-134; pp. 571 - 574
Main Authors Zhang, Jin Min, Zhang, Shu Qing, Zhao, Yu Chun, He, Yu Zhu
Format Journal Article
LanguageEnglish
Published Zurich Trans Tech Publications Ltd 01.01.2012
Subjects
Entropy of Multi-Fractal Spectrum
Multi-Fractal
Area of Multi-Fractal Spectrum
Fault Diagnosis
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Summary:Aiming at complex features of the fault rotating machinery such as nonstationary and nonlinearity, a new method for fault diagnosis based on multi-fractal was introduced. The vibration signals firstly are analyzed by multi-fractal theory and have multi-fractal characteristics. Then the area of multi-fractal spectrum S and the entropy of multi-fractal spectrum Hm were extracted as new criterions to diagnose machinery faults. Results of experimental analysis indicate that the method is effective and it provides a new way in fault diagnosis of rotating machinery.
Bibliography:Selected, peer reviewed papers from the 2011 3rd International Conference on Mechanical and Electronics Engineering (ICMEE 2011), September 23-25, 2011, Hefei, China
ISBN:3037852860
9783037852866
ISSN:1660-9336
1662-7482
1662-7482
DOI:10.4028/www.scientific.net/AMM.130-134.571