Intelligent Evaluation And Diagnosis Of The Health Operational Condition On Wind Turbines Based On Big Data Analysis

The environment of human life is becoming worse and worse with the development of society, and the wind power generation as one of the clean and renewable energy sources, it can alleviate the pollution caused by the use of fossil energy to reach the purpose of sustainable development, so the wind power get fast development. Because the remote wind farm construction area, operation and maintenance are difficult, so that the operation reliability of the wind turbine is getting more and more attention. At present, the traditional maintenance mode of the wind farm is still used after the maintenance and periodic maintenance, the operation and maintenance cost is high. If we can through the monitoring data judgment when the wind turbine in operation status, we can according to the running state of the unit of health decline trend anticipation. Through this method, it is found that the possible failure points, reasonable arrangement of maintenance and maintenance. It has important significance to improve the operation reliability of the wind turbine, ensure the rate of the generator on the net, and reduce the cost of the maintenance after the fault.At first, this dissertation summarizes the common fault of wind turbine and its classification, the current domestic and international research status of wind turbine, and analyzed the main diagnostic method. Subsequently, the method of judging the health state of the wind turbine by using the unit output correlation information is put forward. It can improve the accuracy of judging the non health state or fault state of the unit without increasing the sensor and the measuring point. In this paper, the operation performance and fault diagnosis method of wind turbine combined with the analysis of the wind power generator’s output and the fuzzy fault Petri net are presented.Secondly, according to the analysis of the large data of the wind turbine generator’s output characteristics, the reference standard of the wind turbine health state evaluation is obtained, and the evaluation system is established. The fuzzy hierarchy comprehensive evaluation method was used to evaluate the health condition of the wind turbine, and to provide the basis for the reasonable arrangement of the maintenance plan, to reduce the frequency of the serious fault of the wind turbine generator, and to improve the operation reliability. Finally, the feasibility of the proposed method is verified by the actual operation data of the wind farm.