Generator bearing fault diagnosis for wind turbine via empirical wavelet transform using measured vibration signals

Renewable Energy

Volumn 89, Issue , 2016, Pages 80-92

  Chen, Jinglong ^a   Pan, Jun ^a   Li, Zipeng ^a   Zi, Yanyang ^a   Chen, Xuefeng ^a  

^a XI'AN JIAOTONG UNIVERSITY   (China)

Author keywords

Empirical wavelet transform; Generator bearing; Spatial neighboring coefficient; Weak fault and compound fault diagnosis; Wind turbine

Indexed keywords

CONDITION MONITORING; FAILURE ANALYSIS; MODULATION; PROCESSING; SIGNAL PROCESSING; SIGNAL TO NOISE RATIO; WAVELET TRANSFORMS; WIND POWER; WIND TURBINES;

BEARING FAULT DIAGNOSIS; COMPOUND FAULT DIAGNOSIS; FAULT DIAGNOSIS SYSTEMS; MECHANICAL FAULT DIAGNOSIS; MODULATION INFORMATION; NON-STATIONARY VIBRATION SIGNALS; ORTHOGONAL BASIS; SPATIAL NEIGHBORING COEFFICIENT;

FAULT DETECTION;

EMPIRICAL ANALYSIS; FAULT; SIGNAL PROCESSING; SIGNAL-TO-NOISE RATIO; SPATIAL ANALYSIS; TRANSFORM; VIBRATION; WAVELET ANALYSIS; WIND FARM; WIND TURBINE;

EID: 84953395679     PISSN: 09601481     EISSN: 18790682     Source Type: Journal    
DOI: 10.1016/j.renene.2015.12.010     Document Type: Article

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