Analysis of wind turbine vibrations based on SCADA data

Journal of Solar Energy Engineering, Transactions of the ASME

Volumn 132, Issue 3, 2010, Pages 0310081-03100812

  Kusiak, Andrew ^a   Zhang, Zijun ^a  

^a IA United States   (United States)

Author keywords

Blade pitch angle; Correlation coefficient; Data analysis; Data mining; Drive train acceleration; Global sensitivity analysis; Neural networks; Predictor importance analysis; Torque; Tower acceleration; Vibration; Wind turbine

Indexed keywords

BLADE PITCH; BLADE PITCH ANGLE; CORRELATION COEFFICIENT; DATA ANALYSIS; DRIVE TRAIN; DRIVE TRAIN ACCELERATION; GLOBAL SENSITIVITY ANALYSIS; IMPORTANCE ANALYSIS; PREDICTOR IMPORTANCE ANALYSIS; VIBRATION;

CLUSTER ANALYSIS; DATA HANDLING; DATA MINING; FILTRATION; FREQUENCY DOMAIN ANALYSIS; NEURAL NETWORKS; REGRESSION ANALYSIS; SENSITIVITY ANALYSIS; TOWERS; TURBOMACHINE BLADES; WAVELET ANALYSIS; WAVELET TRANSFORMS; WIND POWER; WIND TURBINES;

VIBRATION ANALYSIS;

EID: 77955222042     PISSN: 01996231     EISSN: 15288986     Source Type: Journal    
DOI: 10.1115/1.4001461     Document Type: Article

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