An optimizing maintenance policy for airborne redundant systems operating with faults by using Markov process and NSGA-II

Redundancy is widely applied in modern airborne systems. Operation with faults in redundant airborne systems can improve the dispatch reliability of aircraft and reduce operational losses due to flight delays or cancellations. In this paper, a Markov model of redundant airborne systems operating with faults is developed, and an analytical method for state frequency calculation is proposed based on the Markov process. On this basis, the multiobjective optimization model is built by taking the time intervals of systems operating with faults as the decision variables, the average safety requirement as the constraint, and the operation cost and dispatch reliability as objectives. Then an algorithm based on NSGA-II is proposed to solve the multiobjective optimization model. Finally, a case study is given to illustrate the application of the proposed method. The results and discussions show that this method has advantages in both accuracy and efficiency compared with some present approaches. Additionally, the loss caused by flight delays and cancellations can be controlled by selecting the proper time intervals optimized by the method. In this way, the operating cost and dispatch reliability can be optimized by airlines, and aircraft safety can be ensured.

• Record URL:
  • https://doi.org/10.1016/j.ress.2023.109257
• Record URL:
  • http://www.sciencedirect.com/science/article/pii/S0951832023001722
• Availability:
  • Find a library where document is available. Order URL: http://worldcat.org/issn/09518320
• Supplemental Notes:
  • © 2023 Elsevier Ltd. All rights reserved. Abstract reprinted with permission of Elsevier.
• Authors:
  • Cheng, Dawei
  • Lu, Zhong
  • 0000-0001-7013-4803
  • Zhou, Jia
  • Liang, Xihui
  • 0000-0003-1192-1238
• Publication Date: 2023-8

Language

• English

Media Info

• Media Type: Web
• Features: References;
• Pagination: 109257
• Serial:
  • Reliability Engineering & System Safety
  • Volume: 236
  • Issue Number: 0
  • Publisher: Elsevier
  • ISSN: 0951-8320
  • Serial URL: https://www.sciencedirect.com/journal/reliability-engineering-and-system-safety

Subject/Index Terms

• TRT Terms: Aircraft; Fault tolerance; Markov processes; Optimization; Redundancy; Vehicle maintenance
• Identifier Terms: Fast Non-dominated Sorting Genetic Algorithm-II
• Subject Areas: Aviation; Maintenance and Preservation; Safety and Human Factors; Vehicles and Equipment;

Filing Info

• Accession Number: 01883441
• Record Type: Publication
• Files: TRIS
• Created Date: May 25 2023 1:51PM