DocumentCode
458909
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.
Volume
1
fYear
2006
fDate
16-18 Oct. 2006
Firstpage
930
Lastpage
935
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;
fLanguage
English
Publisher
ieee
Conference_Titel
Intelligent Systems Design and Applications, 2006. ISDA '06. Sixth International Conference on
Conference_Location
Jinan
Print_ISBN
0-7695-2528-8
Type
conf
DOI
10.1109/ISDA.2006.146
Filename
4021564
Link To Document