Accurate Monitoring and Simulation of Operation Status of Main Transmission Equipment in Wind Turbine
The failure or performance degradation of the main transmission equipment in the wind turbine will di-rectly affect the operating efficiency and power generation capacity of the wind turbine.In order to find out the abnor-mal state or potential fault of the equipment in time and avoid affecting the operation of the whole wind farm,the oper-ation state of the main drive equipment of the wind turbine is monitored.The combination of the K-nearest neighbor algorithm and local outlier detection is used to divide the operation conditions of the main transmission equipment of wind turbines.According to the division results,the analytic hierarchy process is used to calculate the weight of the relative importance order corresponding to the elements at each level,so as to obtain the operation status indicators.The kernel density estimation technology is used to set the threshold value of the status indicators,and through the threshold judgment,the operation status monitoring of the main transmission equipment of the wind turbine is realized.The simulation results show that after the application of the proposed method,the accuracy of the operation condition division of the main drive equipment of the wind turbine is 99.95%,the G value is close to 100%,and the fitness be-tween the monitored health of the main drive equipment of the wind turbine and the actual health is high.It shows that the proposed method can accurately reflect the operation status of the main transmission equipment of wind turbine,and has good monitoring performance.
Wind turbinesMain transmission equipmentOperation status monitoringLocal outlier factorAnalytic hierarchy process
万方数据
维普
