Wind Turbine Condition Monitoring Using SCADA Data and Data Mining Method

Abstract

WTCM (Wind Turbine Condition Monitoring) system is important for wind farm operators to realize condition-based O &M (operation & maintenance), in the purpose of reducing O &M cost and improving wind turbine reliability. A WTCM method using only SCADA data based on data mining algorithm is proposed in this paper. Firstly, ARD (Automatic Relevance Determination) algorithm is adopted to determine the effective variables that are relevant to wind turbine condition. Feature vector is then extracted using the effective variables to represent the operation condition of wind turbine. Finally, the condition of a wind turbine is determined using outlier detection algorithm based on the extracted feature vector. Real-world dataset is used to validate the efficiency of the proposed method. Experiment results show that the proposed method can provide advanced failure alarm for wind turbines many days before failure happens. O &M cost can be reduced by condition-based O &M strategy using the result of our proposed WTCM method.