Fault Diagnosis System of Condenser based on C++ Builder

In order to accomplish the fault diagnosis of condenser efficiently,a condenser fault diagnosis system with operation guide is proposed.The Back-propagation network is training by a standard algorithm and an improved algorithm with variable step size adding momentum.According to the condenser fault database,the three-layer Back-propagation network with 17 input nodes,13 middle nodes and 12 output nodes is constructed. On the basis of comparison,the Neural Network uses variable step size adding momentum for training has quick convergence rate,and its error less than 0.01.Practical data testing shows that by training with variable step size adding momentum algorithm,the Neural Network can get accurate results.The whole software system is developed with C++ Builder6.0.Its interface is friendly and simple.