吴娟 总结.docVIP

风力发电系统主要部件故障诊断技术的概述和研究 吴娟 （电气工程 学术型 座机电话号码02） 摘 要：分析风力发电系统的可能故障是为了尽早发现它的故障，及时采用合适的方法解决故障，从而提高工作效率。相关人员对大阪城风电场使用的不同风力机的可能故障原因进行了调查。对风力发电系统故障诊断的方法进行了研究。对可能故障和能用于风力发电系统主要部件的诊断方法进行了概括结论是：基于频谱分析和小波分析的故障诊断方法能有效地用于风力发电系统的齿轮箱、轴、发电机的振动分析。基于有限元分析的频率分析、温度场分析和磁场分析能用于齿轮箱和发电机的故障机理分析。基于神经网络和模糊理论的智能故障诊断方法在风力发电系统的故障诊断中有重大的应用前景。 Summarization and Study of Fault Diagnosis Technology of the Main Components of Wind Turbine Generator System WU Juan Electric Engineering Abstract：To find the fault of the wind turbine generator system early and to use proper measure to solve the fault in time and so to increase the operation efficient, the possible faults of the wind turbine generator system were analyzed. The possible faults occurrence of the different wind turbines used in Dabancheng wind farm were investigated. The fault diagnosis method of the wind turbine generator system was studied. The possible faults and the diagnosis method which can be used in the several main parts of the wind turbine generator system were summarized. The conclusion: The fault diagnosis method based on frequency spectrum analysis and wavelet analysis can be effectively used in the vibration analysis of the gear box, shaft and generator of wind turbine generator system. The frequency analysis, temperature field analysis and magnetic field analysis based on limited element analysis can be used in the fault mechanism analysis of the gear box and generator. The intelligent fault diagnosis method based on neural network and fuzzy theorem has significant application prospect in the fault diagnosis of the wind turbine generator system. Key words：the wind turbine generator system；the fault diagnosis method ；gear box; generator 1.简介 随着风能实用性的增强，风力发电系统的维修和管理变得越来越重要。尽早发现故障对风力系统是有利的。这会使风力发电系统操作更加安全可靠。故障是由于部分部件失效而导致系统整个或部分功能受损。风力发电系统故障诊断用于测量和隔离已经发生或即将发生的故障，这些故障将影响系统的性能。风机系统的故障诊断分为三步，即：①故障特性的提取；②故障评估；③故障决策。故障诊断的方法包括：基于模型的模型的状态估计和参数估计，基于信号的频谱分析和相互关系分析，基于知识的神经网络和模糊逻辑方法，基于适当模型的仿真和知识观测。 2.风力发电系统的结构[1] 图1 风力发电系统的结构 轮毂和动叶片（Hub?an