Criterion fusion for spectral segmentation and its application to optimal demodulation of bearing vibration signals

Mechanical Systems and Signal Processing

Volumn 64-65, Issue , 2015, Pages 132-148

  Li, Chuan ^a,b   Liang, Ming ^b   Wang, Tianyang ^b  

^a CHONGQING TECHNOLOGY AND BUSINESS UNIVERSITY   (China)

^b UNIVERSITY OF OTTAWA   (Canada)

Author keywords

Criterion fusion; Demodulation; Fault detection; Rolling element bearing; Spectral segmentation

Indexed keywords

BEARINGS (MACHINE PARTS); COST FUNCTIONS; DEMODULATION; FAULT DETECTION; FREQUENCY BANDS; NATURAL FREQUENCIES; OPTICAL VARIABLES MEASUREMENT; RESONANCE; SIGNAL PROCESSING; SPECTROSCOPY;

BEARING FAULT DETECTION; BEARING VIBRATIONS; ENTROPY-BASED METHODS; RESONANCE DEMODULATION; RESONANCE FREQUENCIES; ROLLING ELEMENT BEARING; SEGMENTATION TECHNIQUES; SPECTRAL SEGMENTATION;

SIGNAL DETECTION;

EID: 84937813448     PISSN: 08883270     EISSN: 10961216     Source Type: Journal    
DOI: 10.1016/j.ymssp.2015.04.004     Document Type: Article

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