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作 者:Yu LIU Tangfan XIAHOU Qin ZHANG Liudong XING Hong-Zhong HUANG
机构地区:[1]School of Mechanical and Electrical Engineering,University of Electronic Science and Technology of China,Chengdu 611731,China [2]Center for System Reliability and Safety,University of Electronic Science and Technology of China,Chengdu 611731,China [3]Department of Electrical&Computer Engineering,University of Massachusetts Dartmouth,MA 02747,USA
出 处:《Frontiers of Engineering Management》2024年第3期568-575,共8页工程管理前沿(英文版)
基 金:supported by National Natural Science Foundation of China under grant numbers 72271044,72301057,and 72331002.
摘 要:1 Introduction Reliability is defined as the probability that a system or component will perform its required function for a specified period of time under specified operating conditions(Ebeling,2019).Traditional reliability theory assumes that both a system and its components have only two possible states in the operation stage,either perfectly functioning or completely failing.However,as engineered systems become more sophisticated,involving larger sizes,increased functionality,and greater intelligence,and with advancements in sensing technologies,it has been extensively observed that systems and components exhibit multiple distinct states as they deteriorate over time.The failure behavior,damage severity,performance capacity,and operational efficiency of the system and components vary among these states(Lisnianski et al.,2018).It,therefore,necessitates the development of advanced reliability theories and methodologies that are capable of characterizing these systems and components with multi-state nature.
分 类 号:TB114.3[理学—概率论与数理统计]
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