Fault diagnosis for wind turbine planetary gearboxes via demodulation analysis based on ensemble empirical mode decomposition and energy separation

Renewable Energy

Volumn 47, Issue , 2012, Pages 112-126

  Feng, Zhipeng ^a   Liang, Ming ^b   Zhang, Yi ^b   Hou, Shumin ^b  

^a UNIVERSITY OF SCIENCE AND TECHNOLOGY BEIJING   (China)

^b UNIVERSITY OF OTTAWA   (Canada)

Author keywords

Demodulation; Energy separation; Ensemble empirical mode decomposition (EEMD); Fault diagnosis; Planetary gearbox; Wind turbine

Indexed keywords

AMPLITUDE ENVELOPE; CHARACTERISTIC FREQUENCIES; DRIVE TRAIN; ENERGY SEPARATION ALGORITHM; ENERGY SEPARATIONS; ENSEMBLE EMPIRICAL MODE DECOMPOSITION; EXPERIMENTAL ANALYSIS; FOURIER SPECTRA; FREQUENCY DEMODULATION; INSTANTANEOUS FREQUENCY; INTRINSIC MODE FUNCTIONS; KEY TOPICS; MODULATED SIGNAL; PLANETARY GEARBOXES; TEAGER ENERGY OPERATORS; TEST RIGS; TIME RESOLUTION; WAVELET-LIKE FILTERS;

ALGORITHMS; DEMODULATION; FAILURE ANALYSIS; FREQUENCY MODULATION; SEPARATION; WIND TURBINES;

GEARS;

COMPLEXITY; DECOMPOSITION; EMPIRICAL ANALYSIS; SEPARATION; WIND TURBINE;

EID: 84860824316     PISSN: 09601481     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.renene.2012.04.019     Document Type: Article

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