分布式水电机组故障诊断集成专家系统的研究

Design and Implementation of A Parallel Distributed Expert System for Fault Diagnosis in Hydroelectric Generating Units

针对水电机组故障诊断的多样性和复杂性 ,将分布式人工智能技术引入机组故障诊断技术的研究 ,提出一种适用于水电机组的分布式故障诊断专家系统结构和组织方法 ;并在此基础上 ,利用神经网络技术、可视化技术和模糊技术 ,提出了一种新的故障诊断集成知识表示方式和推理策略 ,并已应用于某水电厂分布式故障诊断集成专家系统中。图 4表 2参

This paper presents a distributed expert system for fault diagnosis in hydroelectric generating units. In accordance with the diversity of the diagnostic knowledge, a new hybrid knowledge representation, including the fuzzy rule representation, the visualized case representation and the artificial neural network (ANN) representation is proposed. According to the theory of the distributed artificial intelligence (DAI) and the diagnostic features of the hydroelectric generating units, a hierarchical distributed architecture and a parallel diagnostic process of the expert system are created. An example of diagnostic the vibration fault is also provided. Figs 4, tables 2 and refs 7.