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Bayesian-based information extraction and aggregation approach for multilevel systems with multi-source data

查看全文 作　　者：Lechang [1,2]Yang;Jianguo [1,2]Zhang;Yanling [3]Guo;Qian [1,2]Wang 高影响力作者 机构地区：[1]School of Reliability and Systems Engineering, Beihang University, Beijing 100191, China;[2]Science and Technology on Reliability and Environmental Engineering Laboratory, Beihang University, Beijing 100191, China;[3]School of Automation Science and Electrical Engineering, Beihang University, Beijing 100191, China高影响力机构 出　　处：《Journal of Systems Engineering and Electronics》索引2017年第28卷第2期,共16页高影响力期刊 基　　金：supported by the National Basic Research Program of China(973 Program)(2013CB733000) 摘　　要：The ever-increasing complexity of industry facilities has made the reliability analysis and assessment an imperative yet tough work. Motivated by practical engineering requirement, this paper develops a Bayesian-based information extraction and aggregation(BIEA) approach for system level reliability estimation of a complex system. It takes both subjective judgments and objective field outputs into consideration. Novel features of this approach is a unique information content based aggregation process, which allows a flexible application of this framework in separated modules on account for purpose. The coherency of which is guaranteed by the objective information content calculation. This work goes beyond the alternatives that deal with solely attributed data under ideal information circumstance, and investigates a more generic tool for real engineering application. Limitations embedded in traditional statistical modeling methods have been eliminated in a nature manner by information transition and integration. In addition, a double axis driving mechanism(DADM) for erecting the antenna of a satellite is demonstrated as case study for benefit illustration and effectiveness verification. 关 键 词：system RELIABILITY imbalanced information MULTI-LEVEL and MULTI-SOURCE data FUSION
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