Evaluation method of the turbine impeller imbalance based on the headroom analysis

Abstract Impeller imbalance is an unavoidable problem in the process of the operation of wind turbines, and it often has a serious impact on the safety and stability of wind turbines, thus shortening their life cycle. Aiming at the current problems, such as high cost and instability caused by the impeller imbalance in wind turbines, this paper proposes an assessment method for impeller imbalance in wind turbines based on image processing and headroom analysis. Firstly, the deep-learning image-processing technology is used to convert the video monitoring data into numerical data, and then the comprehensive imbalance index of the three blades based on the numerical data is calculated, so as to determine if an impeller imbalance problem exists or not. The proposed method was validated with the operation data of wind turbines in field and good results were achieved.