Knowledge-based prognostics and health management of a pumping system under the linguistic decision-making context

doi:10.1016/j.eswa.2022.118379

	Knowledge-based prognostics and health management of a pumping system under the linguistic decision-making context
	Peng, JA 1; Xia, G 2; Li, Y 3; Song, YW 4; Hao, M 1
	2022
发表期刊	Expert Systems with Applications
ISSN	0957-4174
通讯作者	Li, Yue(yli@iim.ac.cn)
摘要	The process industry implements important maintenance strategies on the basis of the health status of system operation to reduce engineering maintenance cost and concurrently ensure reliability and safety. This study presents an architecture for knowledge-based prognostics and health management (K-PHM) by applying the trapezoidal interval type-2 fuzzy linguistic term sets. The proposed K-PHM methodology successfully provides operational information for diagnostics, prognostics, and subsequent actionable knowledge for health management in subjective decision making. It emphasizes knowledge-driven maintenance strategies to increase system reliability and safety within linguistic decision making. The main objective of this study is to focus on the uncertainty within the knowledge formation derived from data and subsequent information expressed with linguistic terms generated from domain experts in the K-PHM methodology. Fuzzy sets and fuzzy logic reasoning techniques are used in conjunction to enhance the capability of handling uncertainty throughout the PHM process. The effectiveness of the proposed K-PHM is verified with the authentic case study for the predictive maintenance of a chemical pumping system against abnormal vibration.
关键词	Prognostics and health management Uncertainty Interval type-2 fuzzy sets Linguistic terms Decision making
DOI	10.1016/j.eswa.2022.118379
关键词[WOS]	TYPE-2 FUZZY-SETS ; FAULT-DIAGNOSIS ; LOGIC SYSTEMS ; METHODOLOGY ; NETWORKS ; MODEL ; STATE
收录类别	SCI
语种	英语
资助项目	Hefei Municipal Natural Science Foundation[2021029] ; National Key Research and Development Pro- gram of China, China[2016YFD0700605] ; National Natural Science Foundation of China, China[51875151]
项目资助者	Hefei Municipal Natural Science Foundation ; National Key Research and Development Pro- gram of China, China ; National Natural Science Foundation of China, China
WOS研究方向	Computer Science ; Engineering ; Operations Research & Management Science
WOS类目	Computer Science, Artificial Intelligence ; Engineering, Electrical & Electronic ; Operations Research & Management Science
WOS记录号	WOS:000851245200002
出版者	PERGAMON-ELSEVIER SCIENCE LTD
引用统计	被引频次：7[WOS] [WOS记录] [WOS相关记录]
文献类型	期刊论文
条目标识符	http://ir.hfcas.ac.cn:8080/handle/334002/128782
专题	中科院合肥智能机械研究所中科院固体物理研究所
作者单位	1.Hefei Univ Technol, Intelligent Mfg Inst, Hefei 230009, Peoples R China 2.Hefei Univ Technol, Inst Automot Engn, Hefei 230009, Peoples R China 3.Chinese Acad Sci, Hefei Inst Phys Sci, Hefei 230031, Peoples R China 4.Hefei Univ Technol, Sch Mech Engn, Hefei 230009, Peoples R China
推荐引用方式 GB/T 7714	Peng, JA,Xia, G,Li, Y,et al. Knowledge-based prognostics and health management of a pumping system under the linguistic decision-making context[J]. Expert Systems with Applications,2022,209.
APA	Peng, JA,Xia, G,Li, Y,Song, YW,&Hao, M.(2022).Knowledge-based prognostics and health management of a pumping system under the linguistic decision-making context.Expert Systems with Applications,209.
MLA	Peng, JA,et al."Knowledge-based prognostics and health management of a pumping system under the linguistic decision-making context".Expert Systems with Applications 209(2022).