综述了近年来有关执行器故障诊断的基于解析模型、基于信号处理和基于知识的3种诊断技术研究,对各种方法进行了详细的评述,简要的给出了有代表性的研究成果。着重介绍了神经网络在执行器故障诊断中的应用。最后对执行器故障诊断技术的发展趋势和有待解决的问题作了一定的分析。 This paper summarizes the three kinds of diagnostic techniques based on the analytical model, the signal processing and the knowledge-based diagnosis of actuator failures in recent years, and gives a detailed review of the various methods, and gives a brief summary of the representative research results. The application of neural network in fault diagnosis of actuators is emphatically introduced. Finally, the development trend of actuator fault diagnosis technology and the problems to be solved are analyzed.