Diagnostic method of power plant water vapor cycle system based on fuzzy neural networks
电厂水汽循环系统模糊神经网络故障诊断

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.