Optimal Hybrid Maintenance Policy for Protection Systems With Multiple Abnormal Operational Behaviors

ABSTRACT We propose a three‐phase hybrid maintenance policy model for protection systems that exhibit abnormal operational behaviors, including misoperations and refusal operations. This policy governs routine periodic inspections and incorporates four categories of replacement strategies: corrective, inspection‐preventive, opportunistic‐preventive and scheduled‐preventive replacement. We focus on a non‐repairable single‐unit protection system subject to continuous degradation. System degradation is modeled using the delay‐time theory. The occurrence of system misoperations or refusal operations depends not only on the arrival of disturbance or mission signals but also on the system's state at the time of signal arrival. The arrival of these relevant signals follows a Homogeneous Poisson Process. Additionally, we account for the imperfection of periodic inspections in our modeling. To identify the most cost‐effective maintenance policy, we adopt an enumeration algorithm, and we introduce a simulation procedure to validate the correctness of the proposed model. Numerical analysis demonstrates that our three‐phase maintenance strategy can serve as an effective decision‐support tool for the maintenance practice of protection systems.

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Publication Details

Journal
Quality and Reliability Engineering International
Published
2026-10-30
DOI
https://doi.org/10.1002/qre.70471
Primary Topic
Reliability and Maintenance Optimization
Type
article
Field-Weighted Citation Impact
0.00

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Optimal Hybrid Maintenance Policy for Protection Systems With Multiple Abnormal Operational Behaviors

Qingan Qiu, Tingting Wang, Zhiwei Chen, Mengying Han et al.
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Quality and Reliability Engineering International
Reliability and Maintenance Optimization
article

Optimal Hybrid Maintenance Policy for Protection Systems With Multiple Abnormal Operational Behaviors

Qingan Qiu, Tingting Wang, Zhiwei Chen, Mengying Han, Shugang Ma
article en

Abstract

ABSTRACT We propose a three‐phase hybrid maintenance policy model for protection systems that exhibit abnormal operational behaviors, including misoperations and refusal operations. This policy governs routine periodic inspections and incorporates four categories of replacement strategies: corrective, inspection‐preventive, opportunistic‐preventive and scheduled‐preventive replacement. We focus on a non‐repairable single‐unit protection system subject to continuous degradation. System degradation is modeled using the delay‐time theory. The occurrence of system misoperations or refusal operations depends not only on the arrival of disturbance or mission signals but also on the system's state at the time of signal arrival. The arrival of these relevant signals follows a Homogeneous Poisson Process. Additionally, we account for the imperfection of periodic inspections in our modeling. To identify the most cost‐effective maintenance policy, we adopt an enumeration algorithm, and we introduce a simulation procedure to validate the correctness of the proposed model. Numerical analysis demonstrates that our three‐phase maintenance strategy can serve as an effective decision‐support tool for the maintenance practice of protection systems.

Quality and Reliability Engineering International
Hebei University of Economics and Business (CN), Beijing Institute of Technology (CN), Northwestern Polytechnical University (CN), Beijing Institute of Graphic Communication (CN), University of Science and Technology Beijing (CN)
National Natural Science Foundation of China
Openalex Percentile: Top 13%
Reliability and Maintenance Optimization
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Optimal Hybrid Maintenance Policy for Protection Systems With Multiple Abnormal Operational Behaviors — Qingan Qiu, Tingting Wang, et al. · Quality and Reliability Engineering International (2026) | TGRS Research Map | TGRS