Joint condition-based maintenance and spare control under degradation-rate warning and defect validation

Critical components in offshore assets, such as wind turbine bearings, often undergo multi-stage degradation before failure, posing challenges for health-state identification and maintenance decision-making, especially when manual inspections are costly and imperfect. Consequently, this paper proposes a condition-based maintenance strategy integrating degradation-rate warning and defect validation. Specifically, 1) periodic condition monitoring obtains degradation levels, from which the degradation rate is estimated using two consecutive measurements. When the estimated rate exceeds a rate-warning threshold, a potential defect is indicated, triggering imperfect manual inspection for defect validation. 2) State-dependent spare ordering is incorporated, where spare procurement is triggered either when the monitored degradation level exceeds the degradation threshold in the normal state or when a defective state is reported by manual inspection, with replacement performed upon spare arrival. The proposed strategy establishes an interactive detection mechanism that coordinates condition monitoring and manual inspection, reducing unnecessary inspections and enhancing maintenance decision-making effectiveness. The monitoring interval, degradation threshold, and rate-warning threshold are jointly optimized to minimize the long-run average cost rate. A case study on offshore wind turbine bearings demonstrates the economic advantage of the proposed strategy over conventional approaches.

Authors

Institutions

Publication Details

Journal
Ocean Engineering
Published
2026-10-07
DOI
https://doi.org/10.1016/j.oceaneng.2026.128452
Primary Topic
Reliability and Maintenance Optimization
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Joint condition-based maintenance and spare control under degradation-rate warning and defect validation

Lechang Yang, Xin Zhou, Runyu Zhang, Jiantai Wang et al.
Ocean Engineering
Reliability and Maintenance Optimization
article

Joint condition-based maintenance and spare control under degradation-rate warning and defect validation

Lechang Yang, Xin Zhou, Runyu Zhang, Jiantai Wang, Li Yang, Beilin Xu, Xiaobing Ma
article en

Abstract

Critical components in offshore assets, such as wind turbine bearings, often undergo multi-stage degradation before failure, posing challenges for health-state identification and maintenance decision-making, especially when manual inspections are costly and imperfect. Consequently, this paper proposes a condition-based maintenance strategy integrating degradation-rate warning and defect validation. Specifically, 1) periodic condition monitoring obtains degradation levels, from which the degradation rate is estimated using two consecutive measurements. When the estimated rate exceeds a rate-warning threshold, a potential defect is indicated, triggering imperfect manual inspection for defect validation. 2) State-dependent spare ordering is incorporated, where spare procurement is triggered either when the monitored degradation level exceeds the degradation threshold in the normal state or when a defective state is reported by manual inspection, with replacement performed upon spare arrival. The proposed strategy establishes an interactive detection mechanism that coordinates condition monitoring and manual inspection, reducing unnecessary inspections and enhancing maintenance decision-making effectiveness. The monitoring interval, degradation threshold, and rate-warning threshold are jointly optimized to minimize the long-run average cost rate. A case study on offshore wind turbine bearings demonstrates the economic advantage of the proposed strategy over conventional approaches.

Ocean EngineeringVol. 368
National Key Laboratory of Science and Technology on Reliability and Environmental Engineering (CN), Beihang University (CN)
Openalex Percentile: Top 11%
Reliability and Maintenance Optimization
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.