Reliability-Based Maintenance Optimization of Reusable Phased Mission Systems

Authored by

Xiang Yu Li, Haochen Wang, He Li, Xiaoyan Xiong, Zaili Yang, Hong Zhong Huang, Michael Beer, Jin Wang

Abstract

This paper proposes a reliability-based maintenance optimization method for reliability modeling and maintenance planning of reusable phased mission systems (R-PMSs). Initially, a multi-phased Wiener process-based reliability modeling method, combined with the Binary Decision Diagram-based model, is created to assess the reliability of R-PMSs. The method considers the initial states of components to be perfect/imperfect fixed as a basis to reflect the impacts of multiple usages of R-PMSs. Subsequently, a maintenance optimization model based on the reliability assessed and incorporating multiple maintenance actions is constructed to allocate the maintenance resources into the maintenance activities in advance of subsequent missions of R-PMSs. The model balances the maintenance cost, overall reliability, and task requirements. The superiority and performance of the proposed method are validated by numerical and engineering analysis. The results confirmed that the proposed method contributes to reliability modeling and maintenance scheduling of R-PMSs.

Details

Organisation(s)
Institute for Risk and Reliability
External Organisation(s)
Taiyuan University of Technology
Liverpool John Moores University
University of Electronic Science and Technology of China
University of Liverpool
Tongji University
Type
Article
Journal
Reliability Engineering and System Safety
Volume
270
ISSN
0951-8320
Publication date
06.2026
Publication status
Published
Peer reviewed
Yes
ASJC Scopus subject areas
Safety, Risk, Reliability and Quality, Industrial and Manufacturing Engineering
Electronic version(s)
https://doi.org/10.1016/j.ress.2026.112187 (Access: Open )