The gray model

neural network model and series gray neural network model were employed to predict the water side clean coefficient of the condenser tubes in a power plant.The results showed that

the series gray neural network model was superior to the single prediction model.Its predicted value was closer to the true value

and the error was controllable during the network training process.So it is feasible and effective to predict the water side clean coefficient of the condenser tubes by applying this model.In practical applications

we can predict the clean coefficient at some time according to the one at the time in the first three cleaning cycles.By the required input parameters

the online prediction of water side clean coefficient of the condenser tubes can be realized.