摘要
以某型测试设备为研究对象,针对该设备的电路结构和工作特点,建立了基于BP神经网络推理模型的测试设备智能故障诊断系统。介绍了该诊断系统的基本结构、知识库的设计以及神经网络推理机的实现技术,最后结合测试设备故障诊断特点给出仿真试验,证明将神经网络应用于专家系统中弥补了传统专家系统的不足,具有很强的实用价值。
With some testing equipment as an object, an intelligent fault-diagnosis system for the testing equipment based on BP neural network inference model was developed according to its circuit structure and working characteristic. The foundational structure of this fault diagnosis system, the design of the knowledge basement and the realization techniques of the neural network reasouing machine are introduced in this paper. Finally, a simulation of fault diagnosis proves that the application of the BP neural network can make up for the shortcomings in the conventional expert system and improve the Fault-Diagnosis efficiently.
出处
《仪表技术》
2008年第11期4-6,共3页
Instrumentation Technology
关键词
故障诊断
BP神经网络
专家系统
知识
fault-diagnosis
BP neural network
expert system
knowledge
