STATISTICAL SIMULATION MODELS FOR THE OPTIMIZATION OF AIRCRAFT MAINTENANCE

Authors

  • Onyedikachi Chioma Okoro
  • Maksym Zaliskyi
  • Serhii Dmytriiev
  • Alina Osipchuk

DOI:

https://doi.org/10.26906/SUNZ.2022.3.008

Keywords:

optimization, reliability, maintenance, predictive maintenance, operation, failure model of aviation systems

Abstract

Aircraft maintenance programs are developed based on manufacturer recommendations and compliance with airworthiness regulator directives. However, operators must adapt their maintenance program to the aircraft configuration and individual requirements of their fleet. The results of the reliability analysis make it possible to adjust the maintenance program and thus reduce excessively expensive maintenance work and downtime. The use of probability theory and statistics to optimize aircraft maintenance was considered. The article presents the developed statistical simulation model of failures of aircraft systems and structures based on the Monte Carlo method. Reliability parameters of aircraft systems and structures were used as initial data for the simulation. The obtained model can be used to improve of aircraft systems and structures at the design and production stage.

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Published

2022-10-03

Issue

Section

Road, river, sea and air transport