Real-time fault diagnostic system for a steam turbine generator set by using a fuzzy cerebellar model articulation controller

doi:10.1243/09544062JMES1248

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	Real-time fault diagnostic system for a steam turbine generator set by using a fuzzy cerebellar model articulation controller
	Yan, C.2,3; Zhang, H.1,3; Peng, D.1,3; Li, H.1; Yang, L.1
刊名	Proceedings of the Institution of Mechanical Engineers, Part C: Journal of Mechanical Engineering Science
	2009-05-01
卷号	223 期号:5 页码:1253-1262
关键词	Brain Controllers Failure analysis Fault tolerant computer systems Fuzzy inference Neural networks Steam power plants Steam turbines Turbogenerators Critical component Fault diagnosis systems Fuzzy cerebellar model articulation controllers Intelligent fault diagnosis Real time Real-time fault diagnosis Real-time fault diagnostics Steam turbine-generator set
ISSN号	09544062
DOI	10.1243/09544062JMES1248
英文摘要	Because a serious fault would result in a reduced amount of electricity supply in a power plant, the real-time fault diagnosis system is extremely important for a steam turbine generator set. A novel real-time intelligent fault diagnosis system is proposed by using a fuzzy cerebellar model articulation controller (CMAC) neural network to detect and identify the faults and failures of critical components. A framework of the fault diagnosis system is described. The model of a novel fault diagnosis system by using a fuzzy CMAC is built and analysed in detail step by step. A case of the diagnosis including three faults is simulated with a fuzzy CMAC. The results show that the real-time fault diagnostic system is of high accuracy, quick convergence, and high noise rejection. Moreover, the model is verified by two examples. It is found that this model is feasible. Finally, the effects of the generalization parameter and address number in fault diagnosis are discussed. © IMechE 2009.
语种	英语
出版者	Professional Engineering Publishing
内容类型	期刊论文
源URL	[http://ir.lut.edu.cn/handle/2XXMBERH/112268]
专题	兰州理工大学
作者单位	1.Faculty of Electric and Automatic Engineering, Shanghai University of Electric Power, Shanghai, China 2.School of Mechanical and Electronical Engineering, Lanzhou University of Technology, 297 Langongping Road, Lanzhou, Gansu 730050, China; 3.CIMS Research Center, Tongji University, Shanghai, China;
推荐引用方式 GB/T 7714	Yan, C.,Zhang, H.,Peng, D.,et al. Real-time fault diagnostic system for a steam turbine generator set by using a fuzzy cerebellar model articulation controller[J]. Proceedings of the Institution of Mechanical Engineers, Part C: Journal of Mechanical Engineering Science,2009,223(5):1253-1262.
APA	Yan, C.,Zhang, H.,Peng, D.,Li, H.,&Yang, L..(2009).Real-time fault diagnostic system for a steam turbine generator set by using a fuzzy cerebellar model articulation controller.Proceedings of the Institution of Mechanical Engineers, Part C: Journal of Mechanical Engineering Science,223(5),1253-1262.
MLA	Yan, C.,et al."Real-time fault diagnostic system for a steam turbine generator set by using a fuzzy cerebellar model articulation controller".Proceedings of the Institution of Mechanical Engineers, Part C: Journal of Mechanical Engineering Science 223.5(2009):1253-1262.