Title :
Failure Diagnosis of Steam Turbine-Generator Set Based On Genetic Algorithm and BP Network
Author :
Tian, Zhiguang ; Zhang, Huifen ; Wang, Youbo
Author_Institution :
Sch. of Automatization, Nanjing Univ. of Aeronaut. & Astronaut.
Abstract :
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
Keywords :
backpropagation; failure analysis; fault diagnosis; genetic algorithms; neural nets; steam turbines; BP network; adaptive genetic neural algorithm; failure diagnosis; fault diagnosis; faults recognition; neural network; steam turbine-generator; Artificial intelligence; Artificial neural networks; Fault diagnosis; Genetic algorithms; Genetic engineering; Intelligent networks; Learning systems; Minimization methods; Neural networks; Neurons;
Conference_Titel :
Intelligent Systems Design and Applications, 2006. ISDA '06. Sixth International Conference on
Conference_Location :
Jinan
Print_ISBN :
0-7695-2528-8
DOI :
10.1109/ISDA.2006.146
