Integration of EEMD and ICA for wind turbine gearbox diagnosis

Wind Energy

Volumn 17, Issue 5, 2014, Pages 757-773

  Wang, Jinjiang ^a   Gao, Robert X ^a   Yan, Ruqiang ^b  

^a UNIVERSITY OF CONNECTICUT   (United States)

^b SOUTHEAST UNIVERSITY   (China)

Author keywords

bearing diagnosis; ensemble empirical mode decomposition; independent component analysis; wind turbine

Indexed keywords

BANDWIDTH; CONDITION MONITORING; DEFECTS; ELECTRIC FAULT CURRENTS; FREQUENCY DOMAIN ANALYSIS; FUNCTIONS; INDEPENDENT COMPONENT ANALYSIS; SIGNAL TO NOISE RATIO; SPECTRUM ANALYSIS; WIND TURBINES;

ADAPTIVE SIGNAL DECOMPOSITION; ENSEMBLE EMPIRICAL MODE DECOMPOSITION; INTRINSIC MODE FUNCTIONS; LOW SIGNAL-TO-NOISE RATIO; PRIORI INFORMATION; REPLACEMENT COSTS; TIME FREQUENCY DOMAIN; WIND TURBINE GEARBOXES;

BLIND SOURCE SEPARATION;

DEFECT; REPLACEMENT; SIGNAL-TO-NOISE RATIO; VIBRATION; WIND TURBINE;

EID: 84897573267     PISSN: 10954244     EISSN: 10991824     Source Type: Journal    
DOI: 10.1002/we.1653     Document Type: Article

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