核电厂智能诊断方法研究的进展

Advance in Study of Intelligent Diagnostic Method for Nuclear Power Plant

文章评述神经网络、模糊逻辑和专家系统3种典型的智能方法在核电厂(NPP)运行状态监测和故障诊断中的应用研究进展。分析了基于神经网络(ANN)、模糊逻辑和专家系统的核电厂运行状态监测和故障诊断方法的研究状况及其特点。探索了核电厂智能诊断方法应用研究的发展趋势。分析表明:基于模糊逻辑和专家系统的核电厂智能诊断方法的研究成果相对较少;核电厂智能诊断方法研究主要集中在基于神经网络的状态监测与故障诊断方面;多种智能诊断方法的结合、神经网络与其它方法的结合,以及基于多神经网络的核电厂运行状态监测和故障诊断方法研究是核电厂智能诊断方法研究的重要发展趋势。

The advance of research on the application of three types of intell diagnostic approach based on neural network （ANN）, fuzzy logic and expert syste the operation status monitoring and fault diagnosis of nuclear power plant （NPP） reviewed. The research status and characters on status monitoring and fault diag approaches based on neural network, fuzzy logic and expert system for nuclear p plant were analyzed. The development trend of applied research on intelligent diagn approaches for nuclear power plant was explored. The analysis results show that the search achievements on intelligent diagnostic approaches based on fuzzy logic and exsystem for nuclear power plant are not much relatively. The research of intelligent nostic approaches for nuclear power plant concentrate on the aspect of operation monitoring and fault diagnosis based on neural networks for nuclear power plant, advancing tendency of intelligent diagnostic approaches for nuclear power plant combination of various intelligent diagnostic approaches, the combination of neural network diagnostic approaches and other diagnostic approaches as well as multiple n network diagnostic approaches.