A new wind turbine fault diagnosis method based on ensemble intrinsic time-scale decomposition and WPT-fractal dimension

Renewable Energy

Volumn 83, Issue , 2015, Pages 767-778

  Hu, Aijun ^a   Yan, Xiaoan ^a   Xiang, Ling ^a  

^a NORTH CHINA ELECTRIC POWER UNIVERSITY   (China)

Author keywords

Correlation dimension (CD); Ensemble intrinsic time scale decomposition (EITD); Fault diagnosis; Wavelet packet transform (WPT); Wind turbine gearbox

Indexed keywords

FAILURE ANALYSIS; FRACTAL DIMENSION; FRACTALS; GEARS; INTERPOLATION; LINEAR TRANSFORMATIONS; MATHEMATICAL TRANSFORMATIONS; PACKET NETWORKS; SIGNAL PROCESSING; TIME MEASUREMENT; VIBRATIONS (MECHANICAL); WAVELET DECOMPOSITION; WAVELET TRANSFORMS; WIND TURBINES;

CORRELATION DIMENSIONS; CUBIC-SPLINE INTERPOLATION; FAULT DIAGNOSIS APPLICATIONS; INTRINSIC TIME-SCALE DECOMPOSITIONS; NON-STATIONARY VIBRATION SIGNALS; WAVELET PACKET TRANSFORM(WPT); WAVELET PACKET TRANSFORMS; WIND TURBINE GEARBOXES;

FAULT DETECTION;

ACCELERATION; FAULTING; FRACTAL ANALYSIS; SHAFT; SIGNALING; VIBRATION; WAVELET; WIND TURBINE; WORKING CONDITIONS;

EID: 84930212253     PISSN: 09601481     EISSN: 18790682     Source Type: Journal    
DOI: 10.1016/j.renene.2015.04.063     Document Type: Article

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