Fault diagnosis of rolling bearings based on multifractal detrended fluctuation analysis and Mahalanobis distance criterion

Vibration data of faulty rolling bearings are usually nonstationary and nonlinear, and contain fairly weak fault features. As a result, feature extraction of rolling bearing fault data is always an intractable problem and has attracted considerable attention for a long time. This paper introduces mu...

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Veröffentlicht in:	Mechanical systems and signal processing 2013-07, Vol.38 (2), p.515-533
Hauptverfasser:	Lin, Jinshan, Chen, Qian
Format:	Artikel
Sprache:	eng
Schlagworte:	Bearing Exponents Fault diagnosis Faults Feature extraction Fluctuation Mahalanobis distance Multifractal detrended fluctuation analysis (MF-DFA) Roller bearings Rolling bearing Rolling bearings Vibration
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