A new wind turbine fault diagnosis method based on the local mean decomposition

Renewable Energy

Volumn 48, Issue , 2012, Pages 411-415

  Liu, W Y ^a   Zhang, W H ^b   Han, J G ^a   Wang, G F ^a  

^a JIANGSU NORMAL UNIVERSITY   (China)

^b NANJING INSTITUTE OF TECHNOLOGY   (China)

Author keywords

Fault diagnosis; Gearbox; Local mean decomposition (LMD); Vibration analysis; Wind turbine

Indexed keywords

ATMOSPHERIC POLLUTION; EXPERIMENT ANALYSIS; FAULT DIAGNOSIS METHOD; FREQUENCY MODULATED SIGNAL; GEARBOX; INSTANTANEOUS FREQUENCY; ITERATIVE APPROACH; LOCAL MEAN DECOMPOSITIONS; NONGAUSSIAN SIGNALS; POWER SOURCES; SLOW SPEED; TIME FREQUENCY ANALYSIS; VIBRATION MONITORING; VIBRATION SIGNAL; WIND TURBINE SYSTEMS;

CONDITION MONITORING; FAILURE ANALYSIS; FAULT DETECTION; TURBINE COMPONENTS; VIBRATION ANALYSIS; WIND POWER;

WIND TURBINES;

DECOMPOSITION; FREQUENCY ANALYSIS; GAUSSIAN METHOD; MONITORING; VIBRATION; WIND POWER; WIND TURBINE;

EID: 84862998489     PISSN: 09601481     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.renene.2012.05.018     Document Type: Article

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