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An integrated reliability evaluation model of aircraft flight test

  • Wenjin Zhang*
  • , Nan Lan
  • , Ping Sun
  • *Corresponding author for this work
  • Beihang University

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

Abstract

In aircraft flight test phase, in order to verify whether the aircraft has reached the reliability requirements, we need to assess its reliability. Firstly, in this paper we review the reliability estimation method under multi-profiles that can be used to evaluate the reliability of aircraft during the flight test process and analyze its shortcoming. Then, in order to expand the amount of data, we describe how to incorporate the environment conversion factors into the reliability estimation method under multi-profiles. By the way, taking into account the varied population-environment feature of data, an integrated evaluation model of flight test of reliability was established. This model is making up the weak points of previous models, and improving the accuracy of reliability evaluation. Finally, this method applied in a real engineering example is described.

Original languageEnglish
Title of host publicationICRMS'2011 - Safety First, Reliability Primary
Subtitle of host publicationProceedings of 2011 9th International Conference on Reliability, Maintainability and Safety
Pages208-211
Number of pages4
DOIs
StatePublished - 2011
Event2011 9th International Conference on Reliability, Maintainability and Safety: Safety First, Reliability Primary, ICRMS'2011 - Guiyang, China
Duration: 12 Jun 201115 Jun 2011

Publication series

NameICRMS'2011 - Safety First, Reliability Primary: Proceedings of 2011 9th International Conference on Reliability, Maintainability and Safety

Conference

Conference2011 9th International Conference on Reliability, Maintainability and Safety: Safety First, Reliability Primary, ICRMS'2011
Country/TerritoryChina
CityGuiyang
Period12/06/1115/06/11

Keywords

  • aircraft flight
  • environment conversion factors
  • integrated evaluation
  • multiple profiles
  • reliability estimation
  • the varied population-environment data

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