A State-Age-Dependent Maintenance-Spare Control Strategy Under Inspection Error Compensation

Inspection errors are extensively reported in equipment health management due to multisource noises and technical limitations, particularly in hidden defect diagnosis of the multistage failure process. This article proposes a state-age-dependent maintenance and spare control strategy to compensate inspection-error-induced risk (attributed to both false positive and false negative) during defect identification. Specifically, a dual-phase adaptive inspection accommodating health variation is scheduled, following which both spare ordering and replacement are postponed to compensate implication of false-positive error. In addition, age-based replacement supported by preponed standard ordering is implemented promptly to alleviate false-negative error impact. To mitigate downtime losses, a dynamic selection mechanism upon failure occurrence between urgent and standard orderings is executed. The long-run operational cost rate is minimized by the joint optimization of postponed intervals of ordering and replacement, as well as the second-phase inspection interval. The model applicability is demonstrated through numerical experiments conducted on high-speed train bogie bearings.

Authors

Institutions

Publication Details

Journal
IEEE Transactions on Reliability
Published
2025-09-23
DOI
https://doi.org/10.1109/tr.2025.3607028
Citations
6
Primary Topic
Industrial Vision Systems and Defect Detection
Type
article
Field-Weighted Citation Impact
7.45
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

A State-Age-Dependent Maintenance-Spare Control Strategy Under Inspection Error Compensation

Yu Zhao, Xiaobing Ma, Li Yang, Hui Xiao et al.
6 citations
IEEE Transactions on Reliability
Industrial Vision Systems and Defect Detection
7.45
article

A State-Age-Dependent Maintenance-Spare Control Strategy Under Inspection Error Compensation

Yu Zhao, Xiaobing Ma, Li Yang, Hui Xiao, Yuhan Ma, Rui Peng, Jiantai Wang
article en
6 citations

Abstract

Inspection errors are extensively reported in equipment health management due to multisource noises and technical limitations, particularly in hidden defect diagnosis of the multistage failure process. This article proposes a state-age-dependent maintenance and spare control strategy to compensate inspection-error-induced risk (attributed to both false positive and false negative) during defect identification. Specifically, a dual-phase adaptive inspection accommodating health variation is scheduled, following which both spare ordering and replacement are postponed to compensate implication of false-positive error. In addition, age-based replacement supported by preponed standard ordering is implemented promptly to alleviate false-negative error impact. To mitigate downtime losses, a dynamic selection mechanism upon failure occurrence between urgent and standard orderings is executed. The long-run operational cost rate is minimized by the joint optimization of postponed intervals of ordering and replacement, as well as the second-phase inspection interval. The model applicability is demonstrated through numerical experiments conducted on high-speed train bogie bearings.

IEEE Transactions on ReliabilityVol. 74(4)
Southwestern University of Finance and Economics (CN), Beijing University of Technology (CN), Beihang University (CN)
Openalex Percentile: Top 3%
Industrial Vision Systems and Defect Detection
7.45
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

A State-Age-Dependent Maintenance-Spare Control Strategy Under Inspection Error Compensation — Yu Zhao, Xiaobing Ma, et al. · IEEE Transactions on Reliability (2025) | TGRS Research Map | TGRS