This paper presents a Probabilistic Neural Network (PNN) for water circulation system fault diagnosis. Using the known data to train the neural network. Then, input the new samples to diagnose the fault type. In order to prove the accuracy of the PNN for water circulation system fault diagnosis, using MATLAB to develop PNN program. The simulation can prove the proposed method is effective and accurate.
