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介绍了集随动系统在线监测与故障诊断于一体的智能系统。利用基于知识的诊断推理技术与神经网络技术相结合的方法构建了随动系统在线故障诊断专家系统，使得神经网络推理与基于符号的知识诊断控制、解释有机地结合起来，取长补短，大大提高了系统的工作效率和诊断可靠性。
An intelligent system integrating on-line monitoring and fault diagnosis of servo system is introduced. Based on the combination of knowledge-based diagnostic inference technology and neural network technology, an online fault diagnosis expert system of servo system is built, which makes neural network reasoning and symbol-based knowledge diagnosis control and interpretation combined organically and greatly improves the system Work efficiency and diagnostic reliability.