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

doi:10.1243/09544062JMES1248

	Real-time fault diagnostic system for a steam turbine generator set by using a fuzzy cerebellar model articulation controller
	Yan, C.1,2; Zhang, H.1,3; Peng, D.1,3; Li, H.3; Yang, L.3
	2009-05-01
发表期刊	Proceedings of the Institution of Mechanical Engineers, Part C: Journal of Mechanical Engineering Science
ISSN	09544062
卷号	223 期号:5 页码:1253-1262
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.
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
DOI	10.1243/09544062JMES1248
收录类别	EI
语种	英语
出版者	Professional Engineering Publishing
EI入藏号	20093612281198
EI主题词	Fault detection
EI分类号	461.1 Biomedical Engineering - 614 Steam Power Plants - 617.2 Steam Turbines - 705.2 Electric Generators - 721.1 Computer Theory, Includes Formal Logic, Automata Theory, Switching Theory, Programming Theory - 722.4 Digital Computers and Systems - 732.1 Control Equipment
来源库	Compendex
分类代码	461.1 Biomedical Engineering - 614 Steam Power Plants - 617.2 Steam Turbines - 705.2 Electric Generators - 721.1 Computer Theory, Includes Formal Logic, Automata Theory, Switching Theory, Programming Theory - 722.4 Digital Computers and Systems - 732.1 Control Equipment
引用统计	被引频次：2[WOS] [WOS记录] [WOS相关记录]
文献类型	期刊论文
条目标识符	https://ir.lut.edu.cn/handle/2XXMBERH/112268
专题	兰州理工大学
作者单位	1.CIMS Research Center, Tongji University, Shanghai, China; 2.School of Mechanical and Electronical Engineering, Lanzhou University of Technology, 297 Langongping Road, Lanzhou, Gansu 730050, China; 3.Faculty of Electric and Automatic Engineering, Shanghai University of Electric Power, Shanghai, China
第一作者单位	兰州理工大学
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.