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Bayesian-based information extraction and aggregation approach for multilevel systems with multi-source data
  • ISSN号:1004-4132
  • 期刊名称:《系统工程与电子技术:英文版》
  • 时间:0
  • 分类:N945[自然科学总论—系统科学]
  • 作者机构:[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
  • 相关基金:This work was supported by the National Basic Research Program of China (973 Program) (2013CB733000).
中文摘要:

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

英文摘要:

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. ? 2017 Beijing Institute of Aerospace Information.

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期刊信息
  • 《系统工程与电子技术:英文版》
  • 主管单位:中国航天机电集团
  • 主办单位:中国航天工业总公司二院
  • 主编:高淑霞
  • 地址:北京海淀区永定路52号
  • 邮编:100854
  • 邮箱:jseeoffice@126.com
  • 电话:010-68388406 68386014
  • 国际标准刊号:ISSN:1004-4132
  • 国内统一刊号:ISSN:11-3018/N
  • 邮发代号:82-270
  • 获奖情况:
  • 航天系统优秀期刊奖,美国工程索引(EI)和英国科学文摘(SA)收录
  • 国内外数据库收录:
  • 荷兰文摘与引文数据库,美国工程索引,美国剑桥科学文摘,美国科学引文索引(扩展库),英国科学文摘数据库
  • 被引量:242