【摘要】 提出了一种基于参数的水轮机调节系统状态监测和故障诊断方法,并设计了基于BP人工神经网络的实现模型,对该方法中用到的数据处理技术做了深入研究,为水轮机调节系统的状态监测和故障诊断研究提供了一种新思路。更多还原

【Abstract】 This paper presents a system based on the parameters of the hydraulic turbine governor condition monitoring and fault diagnosis in order to design a model based on the BP artificial neural network.The author conducted in-depth research with the method used in the data-processing technology.The research proposed a new thought of research for condition monitoring and fault diagnosis of hydraulic turbine governing system.更多还原