关键词: 风力发电机, 故障分析, 故障诊断, 故障检测, 运行机理分析

Abstract: Traditional machine learning methods were used in fault early warning of wind turbine gearboxes, the models were usually designed only by studying the relationship between data and faults, and the selection of parameters and model structure were lack of physical basis, resulting in poor interpretability and weak generalization capabilities of the models. The structure and actual operation control mode of the wind turbine gearbox were studied, the relationship between the operation mechanism and the data of corresponding supervisory control and data acquisition system was analyzed, and the operation data change trend was given qualitatively followed by deterioration of the typical gearbox faults. Finally, a series of one-class support vector machine(OCSVM) based models were constructed according to change law of the data distribution to realize the early fault warning of the wind turbines gearbox systems. Experimentsal results show that all of the proposed models may locate the fault positions of the wind turbine gearbox systems, which has clear physical significance. 

Key words: wind turbine, failure analysis, fault diagnosis, fault detection, operating mechanism analysis