风电机组振动故障的检测方法

Detection Methods of Wind Turbine Vibration Fault

论述了风电机组振动故障检测的重要性及常用的振动故障的检测方法;归纳比较了小波变换法、神经网络法、神经网络与模糊理论结合法及人工免疫法的性能与优缺点;分析了我国在风电机组故障检测预警系统方面的现状与发展趋势;指出目前小波变换故障诊断法在我国已趋成熟,而人工智能检测法的应用才刚刚起步.

The importance of wind turbine vibration fault detection is discussed and the common vibration fault detection methods are described.The performance,advantages and disadvantages of the methods of wavelet transform,neural networks,the combination of neural networks and fuzzy theory and artificial immune are summarized and compared.The current situation and development trend of wind turbine fault detection warning system are analyzed.It is pointed out that,currently the wavelet transform fault diagnosis method in our country has matured,and the application of artificial intelligence detection method has just begun