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Sixth International Conference on Intelligent Systems Design and Applications (ISDA'06) Volume 1
Failure Diagnosis of Steam Turbine-Generator Set Based On Genetic Algorithm and BP Network
Jinan, China
October 16-October 18
ISBN: 0-7695-2528-8
Zhiguang Tian, Nanjing University of Aeronautics and Astronautics, China
Huifen Zhang, University of JiNan, China
Youbo Wang, Beijing Institute of Technology, China
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.
Citation:
Zhiguang Tian, Huifen Zhang, Youbo Wang, "Failure Diagnosis of Steam Turbine-Generator Set Based On Genetic Algorithm and BP Network," isda, vol. 1, pp.930-935, Sixth International Conference on Intelligent Systems Design and Applications (ISDA'06) Volume 1, 2006
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