Statistical analysis and optimal inspection planning for lifetime delayed gamma degradation processes

doi:10.1002/qre.2969

CSpace

	Statistical analysis and optimal inspection planning for lifetime delayed gamma degradation processes
	Li, Zan 1,2; Hu, Qingpei 1,2; Yang, Qingyu 3; Yu, Dan 1,2
	2021-08-10
发表期刊	QUALITY AND RELIABILITY ENGINEERING INTERNATIONAL
ISSN	0748-8017
页码	16
摘要	Degradation measurements of highly reliable products can be used to extrapolate the failure times, and subsequently, predict the remaining useful time-to-failure distribution. Different degradation failure mechanisms should be treated specifically to achieve an accurate estimation and prediction. In this study, a typical sequential hard and soft failure mode is investigated while applying the lifetime delayed degradation processes (LDDP) modeling framework. This study focuses on the gamma process, which is combined with location-scale-family lifetime distributions and a general reliability inference approach that is applied based on the likelihood. Furthermore, the optimal inspection planning issue with the corresponding process is formulated. The determination of Fisher information (D-optimality) is used to evaluate the efficiency of the different inspection plans to obtain more information during the degradation process. This study consisted of comprehensive simulations with a more accurate mean time-to-failure (MTTF) estimation for the reliability analysis and the inspection starting time that is optimized for planning. A practical crack inspection dataset is also used in this investigation. Herein, the optimal time was simplified while considering the first inspection time and the equivalent inspection interval. It has been proved from the simulation that the inspection number affects the peak value of the Fisher information. This study helps to reduce the experiment sample size and improve the estimation of reliability effectively in engineering.
关键词	crack initiation crack propagation D-optimality gamma process inspection planning
DOI	10.1002/qre.2969
收录类别	SCI
语种	英语
资助项目	Ministry of Science andTechnology of the People's Republic of China[2018YFB0704304] ; National Center for Mathematics and Interdisciplinary Sciences ; Key Laboratory of Systems and Control, Chinese Academy of Sciences ; China Institute of MarineTechnology and Economy[2019A128]
WOS研究方向	Engineering ; Operations Research & Management Science
WOS类目	Engineering, Multidisciplinary ; Engineering, Industrial ; Operations Research & Management Science
WOS记录号	WOS:000683470100001
出版者	WILEY
引用统计
文献类型	期刊论文
条目标识符	http://ir.amss.ac.cn/handle/2S8OKBNM/59069
专题	中国科学院数学与系统科学研究院
通讯作者	Hu, Qingpei
作者单位	1.Chinese Acad Sci, Acad Math & Syst Sci, Beijing, Peoples R China 2.Univ Chinese Acad Sci, Sch Math Sci, Beijing, Peoples R China 3.Wayne State Univ, Dept Ind & Syst Engn, Detroit, MI 48201 USA
推荐引用方式 GB/T 7714	Li, Zan,Hu, Qingpei,Yang, Qingyu,et al. Statistical analysis and optimal inspection planning for lifetime delayed gamma degradation processes[J]. QUALITY AND RELIABILITY ENGINEERING INTERNATIONAL,2021:16.
APA	Li, Zan,Hu, Qingpei,Yang, Qingyu,&Yu, Dan.(2021).Statistical analysis and optimal inspection planning for lifetime delayed gamma degradation processes.QUALITY AND RELIABILITY ENGINEERING INTERNATIONAL,16.
MLA	Li, Zan,et al."Statistical analysis and optimal inspection planning for lifetime delayed gamma degradation processes".QUALITY AND RELIABILITY ENGINEERING INTERNATIONAL (2021):16.