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作 者:Hu Changhua Zhou Zhijie Zhang Jianxun Si Xiaosheng
机构地区:[1]Department of Automation,High-Tech Institute of Xi'an
出 处:《Chinese Journal of Aeronautics》2015年第1期25-33,共9页中国航空学报(英文版)
基 金:co-supported by the National Natural Science Fundation for Distinguished Young Scholar of China(No.61025014);the National Natural Science Foundation of China(Nos.61174030,61104223,61374126,61374120,61004069 and 61370031)
摘 要:Once in the hands of end users, such durable equipment as spacecraft, aircraft, ships,automobiles, computers, etc. are in a state of debugging, working or storage. In either state, availability, reliability and super-efficiency are the ultimate goals, which have been achieved through constant monitoring as well as regular, preventive, routine and corrective maintenance. Although some advanced instruments can visualize certain invisible malfunctioning phenomena into visible ones, deeply hidden troubles cannot be found unless monitoring and testing data are addressed using tools that process the data statistically, analytically and mathematically. Some state-of-theart trouble-shooting and life-predicting techniques and approaches are introduced in this paper.Once in the hands of end users, such durable equipment as spacecraft, aircraft, ships,automobiles, computers, etc. are in a state of debugging, working or storage. In either state, availability, reliability and super-efficiency are the ultimate goals, which have been achieved through constant monitoring as well as regular, preventive, routine and corrective maintenance. Although some advanced instruments can visualize certain invisible malfunctioning phenomena into visible ones, deeply hidden troubles cannot be found unless monitoring and testing data are addressed using tools that process the data statistically, analytically and mathematically. Some state-of-theart trouble-shooting and life-predicting techniques and approaches are introduced in this paper.
关 键 词:hidden uncertainty accelerated instruments shooting ultimate maintenance visible addressed trouble
分 类 号:TB114.3[理学—概率论与数理统计]
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