A probability uncertainty method of fault classification for steam turbine generator set based on Bayes and Holospectrum

doi:10.1177/0954406215616146

CORC > 兰州理工大学 > 兰州理工大学 > 机电工程学院

	A probability uncertainty method of fault classification for steam turbine generator set based on Bayes and Holospectrum
	Wei, Yaobing 1; Wang, Xin 1; Kong, Yuanyuan 1,2; Yan, Changfeng 1
刊名	PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART C-JOURNAL OF MECHANICAL ENGINEERING SCIENCE
	2016-12
卷号	230 期号:20 页码:3767-3776
关键词	Steam turbine generator Bayesian decision theory uncertainty of fault classification 2D-holospectrum
ISSN号	0954-4062
DOI	10.1177/0954406215616146
英文摘要	With the rapid development of the machinery and the increasing complexity of the steam turbine generator set, it is a great challenge for the safe and reliable operation of the steam turbine generator set. The uncertainties of fault classification and complicated working conditions become important research fields of steam turbine generator. A probability method on the uncertainty reasoning of fault classification for steam turbine generator is proposed in this paper based on the 2D-holospectrum and Bayesian decision theory. Firstly, Bayesian decision theory is adopted for the preliminary fault estimation on actual risk loss by calculating the loss expectation of each decision. Then, the area ratio of overlap region in 2D-holospectrum and the evidence theory can give the probability of the fault. Framework and model of the uncertainty reasoning are also described in this paper. Finally, the model is verified by the experiment of the rotor vibration on test rig. The results show that the method proposed is feasible for reasoning under imperfect information condition.
资助项目	Program of National Natural Science Foundation of China[51165018]
WOS研究方向	Engineering
语种	英语
出版者	SAGE PUBLICATIONS LTD
WOS记录号	WOS:000392871700014
状态	已发表
内容类型	期刊论文
源URL	[http://119.78.100.223/handle/2XXMBERH/33520]
专题	机电工程学院
通讯作者	Yan, Changfeng
作者单位	1.Lanzhou Univ Technol, Sch Mech & Elect Engn, Lanzhou 730050, Gansu, Peoples R China 2.Bengbu Hydraul Machinery Co Ltd, Bengbu, Anhui, Peoples R China
推荐引用方式 GB/T 7714	Wei, Yaobing,Wang, Xin,Kong, Yuanyuan,et al. A probability uncertainty method of fault classification for steam turbine generator set based on Bayes and Holospectrum[J]. PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART C-JOURNAL OF MECHANICAL ENGINEERING SCIENCE,2016,230(20):3767-3776.
APA	Wei, Yaobing,Wang, Xin,Kong, Yuanyuan,&Yan, Changfeng.(2016).A probability uncertainty method of fault classification for steam turbine generator set based on Bayes and Holospectrum.PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART C-JOURNAL OF MECHANICAL ENGINEERING SCIENCE,230(20),3767-3776.
MLA	Wei, Yaobing,et al."A probability uncertainty method of fault classification for steam turbine generator set based on Bayes and Holospectrum".PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART C-JOURNAL OF MECHANICAL ENGINEERING SCIENCE 230.20(2016):3767-3776.