【摘要】 电厂水汽循环系统是一个由多环节组成的复杂的大型工业生产过程 ,由于它的参数存在较大的不确定性和模糊性 ,使得对它的生产过程进行故障诊断十分困难 .通过分析这个系统特点 ,提出了一种智能诊断方法———模糊神经网络对它进行故障诊断 ,从而解决了参数存在模糊性和不确定性的难题 ,提高了诊断的可靠性更多还原

【Abstract】 In the power plant, it is difficult to diagnose the water_vapor cycle system because of the indeterminacy and fuzziness of the parameters. Based on the analysis of the characteristics of the system, an intelligent diagnostic method is developed-using the artificial fuzzy neural networks. The experement shows that the method can solve the problem of the indeterminacy and fuzziness of the parameters, and improve the reliability of diagnosis.更多还原