Analyzing bearing faults in wind turbines: A data-mining approach

Renewable Energy

Volumn 48, Issue , 2012, Pages 110-116

  Kusiak, Andrew ^a   Verma, Anoop ^a  

^a UNIVERSITY OF IOWA   (United States)

Author keywords

Data mining; Generator bearing faults; Regression; SCADA

Indexed keywords

BEARING FAULT; MODEL ERRORS; MOVING AVERAGES; NEURAL NETWORK ALGORITHM; NORMAL BEHAVIOR; PREDICTION MODEL; REGRESSION; SCADA; TEMPERATURE IMPACT; TURBINE MAINTENANCE;

FORECASTING; WIND TURBINES;

DATA MINING;

ALGORITHM; ARTIFICIAL NEURAL NETWORK; DATA MINING; MAINTENANCE; MODEL VALIDATION; PERFORMANCE ASSESSMENT; WIND TURBINE;

EID: 84861338534     PISSN: 09601481     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.renene.2012.04.020     Document Type: Article

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