2007
DOI: 10.1109/tr.2006.890900
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Reliability Evaluation of Phased-Mission Systems With Imperfect Fault Coverage and Common-Cause Failures

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Cited by 152 publications
(71 citation statements)
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“…Phased-mission systems (PMS) are very common in practical engineering, where the mission of system usually consists of multiple, consecutive, and non-overlapping phases in operation [12,20,21]. A simple example is that the phases of car-driving mission include ZhAng S, Sun S, Si S, WAng P. A decision diagram based reliability evaluation method for multiple phased-mission systems.…”
Section: Introductionmentioning
confidence: 99%
“…Phased-mission systems (PMS) are very common in practical engineering, where the mission of system usually consists of multiple, consecutive, and non-overlapping phases in operation [12,20,21]. A simple example is that the phases of car-driving mission include ZhAng S, Sun S, Si S, WAng P. A decision diagram based reliability evaluation method for multiple phased-mission systems.…”
Section: Introductionmentioning
confidence: 99%
“…But they have to make many hypothesis and could not fully consider the repairable cases; Simulation methods have less restriction and stronger representation power, but are time consuming to gain high accuracy [1,3]. As research continues, more literature has addressed mission reliability analysis of PMS with more complicated cases, such as with repairable component [4,11] , common cause failures [13,14], imperfect fault coverage [15], multi-states [17]. How-sciENcE aNd tEchNology ever, to the best of our knowledge, mission reliability of MM-PMS has not been systematic studied.…”
Section: Introductionmentioning
confidence: 99%
“…If a component fails without being detected or isolated due to the failure of system recovery mechanism, it may produce incorrect result which can lead to an overall system failure [16]. This behavior is known as IFC [17][18][19]. System reliability can't improve unlimitedly with the increase of standby components when IFC is considered [20].…”
Section: Introductionmentioning
confidence: 99%