Reliability-Based Maintenance Optimization of Reusable Phased Mission Systems

Read full text
Authors: Xiang-Yu Li, Haochen Wang, He Li, Xiaoyan Xiong, Zaili Yang, Huang Hong-zhong, Michael Beer, Jin Wang
Cited by: 2
References: 36

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.

Fields of Study & Subjects

Reliability and Maintenance Optimization Transportation Systems and Infrastructure Spacecraft Design and Technology

Publication details

Journal / source
Reliability Engineering & System Safety
Publisher
Elsevier BV
Volume
270
Pages
112187–112187
Publication date
7 January 2026
Language
EN