Failure Diagnosis of Steam Turbine-Generator Set Based On Genetic Algorithm and BP Network

摘要

In order to overcome the problems of slow rate of convergence and falling easily into local minimum in BP algorithm, this paper discusses adaptive genetic neural algorithm and combining model by using genetic algorithm. The paper applies it to steam turbine-generators fault diagnosis. Case study shows that the algorithm converges quickly and diagnoses faults efficiently, it has a reference value for faults recognition