TY - GEN
T1 - Condition-Based Maintenance Scheduling Integrating Multi-Level Defect Information under Multivariate Environmental Affection
AU - Han, Ruoran
AU - Ma, Xiaobing
AU - Jia, Heping
AU - Yang, Li
N1 - Publisher Copyright:
© 2024 IEEE.
PY - 2024
Y1 - 2024
N2 - The degradation resistance of equipment in natural environments directly impacts its operational safety and performance, underscoring the significance to accurately describe the underlying degradation process followed up by timely maintenance procedures. In this study, we delve into a multi-state corrosion degradation process under multifaceted environmental impacts, whose prevention is exemplified by a multi-stage condition-based maintenance scheduling. To be specific, we use a delay-time concept to capture the health transition process, which defines a minor and severe defects stage prior to ultimate failure. By integrating failure-based corrective maintenance, inspection-based preventive maintenance and proactive coating action, the model aims to determine the optimal inspection interval that minimizes the expected cost per unit time. The model applicability is validated through comparative experiment over some heuristic maintenance strategies.
AB - The degradation resistance of equipment in natural environments directly impacts its operational safety and performance, underscoring the significance to accurately describe the underlying degradation process followed up by timely maintenance procedures. In this study, we delve into a multi-state corrosion degradation process under multifaceted environmental impacts, whose prevention is exemplified by a multi-stage condition-based maintenance scheduling. To be specific, we use a delay-time concept to capture the health transition process, which defines a minor and severe defects stage prior to ultimate failure. By integrating failure-based corrective maintenance, inspection-based preventive maintenance and proactive coating action, the model aims to determine the optimal inspection interval that minimizes the expected cost per unit time. The model applicability is validated through comparative experiment over some heuristic maintenance strategies.
KW - delay time
KW - environmental effects
KW - inspection scheduling
KW - maintenance management
KW - multi-stage degradation
UR - https://www.scopus.com/pages/publications/85207838541
U2 - 10.1109/DOCS63458.2024.10704281
DO - 10.1109/DOCS63458.2024.10704281
M3 - 会议稿件
AN - SCOPUS:85207838541
T3 - 2024 6th International Conference on Data-Driven Optimization of Complex Systems, DOCS 2024
SP - 551
EP - 556
BT - 2024 6th International Conference on Data-Driven Optimization of Complex Systems, DOCS 2024
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 6th International Conference on Data-Driven Optimization of Complex Systems, DOCS 2024
Y2 - 16 August 2024 through 18 August 2024
ER -