Time-frequency analysis based on Vold-Kalman filter and higher order energy separation for fault diagnosis of wind turbine planetary gearbox under nonstationary conditions

Renewable Energy

Volumn 85, Issue , 2016, Pages 45-56

  Feng, Zhipeng ^a   Qin, Sifeng ^a   Liang, Ming ^b  

^a UNIVERSITY OF SCIENCE AND TECHNOLOGY BEIJING   (China)

^b UNIVERSITY OF OTTAWA   (Canada)

Author keywords

Fault diagnosis; Higher order energy separation; Planetary gearbox; Time frequency analysis; Vold Kalman filter; Wind turbines

Indexed keywords

EPICYCLIC GEARS; FAILURE ANALYSIS; HOLOGRAPHIC OPTICAL ELEMENTS; KALMAN FILTERS; SEPARATION; WIND TURBINES;

HIGHER-ORDER; NON-STATIONARY VIBRATION SIGNALS; PLANETARY GEARBOXES; TIME FREQUENCY ANALYSIS; TIME-FREQUENCY ANALYSIS METHODS; TIME-FREQUENCY DISTRIBUTIONS; TIME-VARYING CHARACTERISTICS; VOLD-KALMAN FILTERS;

FAULT DETECTION;

KALMAN FILTER; TIME SERIES ANALYSIS; VIBRATION; WIND TURBINE;

EID: 84934970769     PISSN: 09601481     EISSN: 18790682     Source Type: Journal    
DOI: 10.1016/j.renene.2015.06.041     Document Type: Article

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