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Maintenance policy of degradation components based on the two-phase Wiener process
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Key Laboratory of CNC Equipment Reliability, Ministry of Education, Jilin University, China
School of Mechanical and Aerospace Engineering, Jilin University, China
China FAW Group Co., LTD. NEV Inst, China
College of Construction Engineering, Jilin University, China
Submission date: 2023-07-25
Final revision date: 2023-08-16
Acceptance date: 2023-09-19
Online publication date: 2023-09-20
Publication date: 2023-09-20
Corresponding author
Yingzhi Zhang   

Key Laboratory of CNC Equipment Reliability, Ministry of Education, Jilin University, China
Eksploatacja i Niezawodność – Maintenance and Reliability 2023;25(4):172537
  • A maintenance policy with two inspection intervals and a preventive-replacement threshold.
  • A fixed change point degradation threshold is adopted in the two-phase Wiener process.
  • A reasonable degradation failure time distribution is given.
  • The process is explained and the feasibility is proved through a numerical example.
  • The impact of the cost parameters is analyzed through sensitivity analysis
This paper proposes a condition-based maintenance policy for the two-phase Wiener degradation process components. The main contribution of this article is to provide the time distribution of degradation failures for the two-phase Wiener process degradation component, as well as the modeling and solving methods for two-phase maintenance. The two-phase maintenance policy includes two-phase inspection and preventive replacement maintenance operations. The established optimization maintenance policy model aims to minimize long-term operation costs. The specific cost calculation equation and the solution method of the maintenance model are given. The feasibility of the maintenance policy model is verified using the two-phase degradation data of the Liquid Coupling Devices. The Particle swarm optimization algorithm can stably solve the described problem, and the results show that the two-phase maintenance policy can be more economical and improve components availability. After that, we also analyzed the impact of the cost parameters on the maintenance policy through sensitivity analysis.
This work was supported by the National Science and Technology Major Project of the Ministry of Science and Technology of China, Grant/Award Number: 2015ZX04003002; Jilin Province Major Science and Technology Projects, Grant/Award Number: 20220301015GX.
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