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Bayesian health modeling for aerial dynamic system using object-oriented approach

  • Beihang University
  • PLA Military Representative Office in Factory 784

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

The health modeling for aerial system is a difficult problem, especially when the system is composed of identical or almost identical system, the system parameters and sensors measurements are subject to uncertainty, and the health state of system evolves over time. In order to solve this problem, a novel object-oriented modeling approach is proposed. This approach is based on the Bayesian theory and can provide corresponding algorithms for different levels of system in constructing the dynamic Bayesian network of entire system health step by step in a bottom-up fashion. The effectiveness and robustness of the resulting dynamic Bayesian network are verified through experiments on a particular aerial fuel delivery system.

Original languageEnglish
Title of host publicationProceedings of 2013 IEEE 11th International Conference on Electronic Measurement and Instruments, ICEMI 2013
Pages819-824
Number of pages6
DOIs
StatePublished - 2013
Event2013 IEEE 11th International Conference on Electronic Measurement and Instruments, ICEMI 2013 - Harbin, China
Duration: 16 Aug 201318 Aug 2013

Publication series

NameProceedings of 2013 IEEE 11th International Conference on Electronic Measurement and Instruments, ICEMI 2013
Volume2

Conference

Conference2013 IEEE 11th International Conference on Electronic Measurement and Instruments, ICEMI 2013
Country/TerritoryChina
CityHarbin
Period16/08/1318/08/13

Keywords

  • Bayesian
  • aerial system
  • health modeling
  • object-oriented

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