Research on Preventive Maintenance Detection Method of Flight Simulator

  • Yancheng Mi
  • , Yakun Zuo
  • , Chao Lian
  • , Linhan Guo*
  • , Fusong Han
  • *Corresponding author for this work

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

Abstract

To ensure the availability, reliability, and safety of the flight simulator, which is a complex system, considering the different detection methods of periodic maintenance and non-periodic maintenance, and considering the impact of maintenance effects, a detection method of preventive maintenance of flight simulator is proposed. First, the detection interval model of preventive maintenance of the flight simulator is established according to the detection characteristics of periodic maintenance and non-periodic maintenance. Then the preventive maintenance time model of the flight simulator is established by considering the relationship between inspection time and maintenance. Based on the preventive maintenance inspection interval model and preventive maintenance time model, the optimization model of the preventive maintenance inspection interval of the flight simulator is established. Finally, a case of the visual subsystem of a flight simulator is constructed and the case results are analyzed to verify the effectiveness and applicability of the model and algorithm.

Original languageEnglish
Title of host publication2023 5th International Conference on System Reliability and Safety Engineering, SRSE 2023
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages354-359
Number of pages6
ISBN (Electronic)9798350305944
DOIs
StatePublished - 2023
Event5th International Conference on System Reliability and Safety Engineering, SRSE 2023 - Beijing, China
Duration: 20 Oct 202323 Oct 2023

Publication series

Name2023 5th International Conference on System Reliability and Safety Engineering, SRSE 2023

Conference

Conference5th International Conference on System Reliability and Safety Engineering, SRSE 2023
Country/TerritoryChina
CityBeijing
Period20/10/2323/10/23

Keywords

  • Flight simulator
  • detection strategy
  • maintenance optimization
  • preventive maintenance
  • state detecting

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