Based on the cooling water system of training ship“Yukun”of Dalian Maritime University, the paper develops an intelligent fault diagnosis device which can be applied to the ship’s cooling water system. Taking RBF neural network as the fault diagnosis model, the fault diagnosis program is developed using MATLAB with VC++. The Program creates and trains the neural network based on the training sample set designed before. The fault diagnosis program accepts the data, calculate and return the results. The MCGS IPC determines the realtime operating status of the cooling system according to the calculations, and gives alarm,which can achieve the purpose of intelligent fault diagnosis.
Key words
ship’s main engine cooling water system /
fault diagnosis /
RBF neural network /
VC++ /MATLAB
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