首页|Bayesian-based information extraction and aggregation approach for multilevel systems with multi-source data
Bayesian-based information extraction and aggregation approach for multilevel systems with multi-source data
扫码查看
点击上方二维码区域，可以放大扫码查看
原文链接
NETL
NSTL
万方数据
维普
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 ag-gregation (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 al-lows 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 tra-ditional statistical modeling methods have been eliminated in a nature manner by information transition and integration. In addi-tion, a double axis driving mechanism (DADM) for erecting the antenna of a satellite is demonstrated as case study for benefit illustration and effectiveness verification.
system reliabilityimbalanced informationmulti-level and multi-source data fusion
Lechang Yang、Jianguo Zhang、Yanling Guo、Qian Wang
展开 >
School of Reliability and Systems Engineering, Beihang University, Beijing 100191, China
Science and Technology on Reliability and Environmental Engineering Laboratory, Beihang University, Beijing 100191, China
School of Automation Science and Electrical Engineering, Beihang University, Beijing 100191, China
This work was supported by the National Basic Research Program of China (973 Program)
NETL
NSTL
万方数据
维普
