An adaptively fast ensemble empirical mode decomposition method and its applications to rolling element bearing fault diagnosis

Mechanical Systems and Signal Processing

Volumn 62, Issue , 2015, Pages 444-459

  Xue, Xiaoming ^a   Zhou, Jianzhong ^a   Xu, Yanhe ^a   Zhu, Wenlong ^a   Li, Chaoshun ^a  

^a HUAZHONG UNIVERSITY OF SCIENCE AND TECHNOLOGY   (China)

Author keywords

Adaptively fast EEMD (AFEEMD); Complementary EEMD (CEEMD); Ensemble empirical mode decomposition; Fault diagnosis; Upper frequency limit

Indexed keywords

FAILURE ANALYSIS; FAULT DETECTION; MEAN SQUARE ERROR; ROLLER BEARINGS; SIGNAL RECONSTRUCTION;

ADAPTIVELY FAST EEMD (AFEEMD); COMPLEMENTARY EEMD (CEEMD); EMPIRICAL MODE DECOMPOSITION; ENSEMBLE EMPIRICAL MODE DECOMPOSITION; ENSEMBLE EMPIRICAL MODE DECOMPOSITIONS (EEMD); FREQUENCY LIMITS; ROLLING ELEMENT BEARING; ROOT MEAN SQUARE ERRORS;

WHITE NOISE;

EID: 84928609215     PISSN: 08883270     EISSN: 10961216     Source Type: Journal    
DOI: 10.1016/j.ymssp.2015.03.002     Document Type: Article

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