STATISTICAL SIMULATION MODELS FOR THE OPTIMIZATION OF AIRCRAFT MAINTENANCE
DOI:
https://doi.org/10.26906/SUNZ.2022.3.008Keywords:
optimization, reliability, maintenance, predictive maintenance, operation, failure model of aviation systemsAbstract
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.Downloads
References
Global Commercial Helicopters Market (2020 to 2025). Growth, Trends and Forecast – ResearchAndMarkets.com. URL https://www.businesswire.com/news/home/20200909005517/en/Global-Commercial-Helicopters-Market-2020-to-2025--- Growth-Trends-and-Forecast---ResearchAndMarkets.com.
Global Helicopter Market Industry Analysis and Forecast (2019-2027) by Product type, by Application and by Region – Maximize Market Research PVT. Ltd. URL https://www.maximizemarketresearch.com/marketreport/global helicoptermarket/15356.
Sprong, J. P., Jiang, X., & Polinder, H. (2019). A Deployment of Prognostics to Optimize Aircraft Maintenance - A Literature Review: A Literature Review. Annual Conf. of the PHM Society, 11(1). https://doi.org/10.36001/phmconf.2019.v11i1.776.
Ren H., Chen X., Chen Y. Reliability Based Aircraft Maintenance Optimization and Applications. Academic Press. 2017, pp. 1–3. DOI:10.1016/B978-0-12-812668-4.00001-0.
Wu H. , Liu Y., Ding Y., Liu J. Methods to reduce direct maintenance costs for commercial aircraft. Aircraft Engineering and Aerospace Technology, 2004, Vol. 76 No. 1, pp. 15-18. https://doi.org/10.1108/00022660410514964.
Nakagawa T.. Maintenance Theory of Reliability. 2005, 269 p.
IEC 60300-3-11, Dependability Management – Part 3-11: Application Guide - Reliability centred maintenance, 1999.
Zaliskyi M., Petrova Y., Asanov M., Bekirov E. Statistical Data Processing During Wind Generators Operation. International Journal of Electrical and Electronic Engineering & Telecommunications, Vol. 8 (1), 2019, pp 33–38. http://dx.doi.org/10.18178/ijeetc.8.1.33-38.
Dhillon B. S. Maintainability, Maintenance, and Reliability for Engineers. New York, Taylor & Francis Group. 2006, 214 p. https://doi.org/10.1201/9781420006780.
Okoro O.C. Reliability Analysis of Aircraft Fleet in Nigeria. Proceedings of National Aviation University. 2020, Vol. 83 (2), pp.49–53.