Directing against the problems concerning condenser system faults in thermal power plant are large in amount and complex in causes

a model for diagnosing fault sorts for condenser system based on fuzzy neural networks has been established on the basis of analysing the fault sorts of the condenser system in detail. Combining advantages of fuzzy logic with that of artificial neural network (ANN)

the said model has adopted advanced MDFP study algorithm

decreasing amount of calculation work

making the fault analysis to be rapid and accurate. Simulation test shows that the effectiveness of fault sorts analysis by using the said model being good.