A method of diagnosing leakage of boiler steam and water pipes based on genetic neural network

It is of great significance to study the method of diagnosing leakage of boiler steam and water pipe so as to improve safety and economy of the power plant. According to the characteristics of the power plant boiler, the model of diagnosing fault is established with the method of BP neural network optimized with genetic algorithm. On this basis, simulation experiments were carried out to diagnosing fault. Diagnosis results show that the optimized model can diagnose fault accurately and timely.