APPLICATION OF FUZZY NEURAL NETWORKS FOR INSTRUMENT FAULT DIAGNOSIS OF CONDENSATION TURBINE CONTROL

摘要

In the paper an application of fuzzy neural networks (FNN) for sensor fault diagnosis in condensation turbine control unit was given. The FNN are applied for fault detection and isolation processes. This approach gives the homogenous solution of fault detection and isolation process (FDI). The FNN models of turbine power, live steam pressure and steam mass flow rate were created and verified. Satisfactory models" performance indexes were obtained. The fault sensitivity of residuals was investigated and approved.