TY - GEN
T1 - A Reliability Evaluation and Inspection-Based Replacement Optimization Policy Considering Measurement Variability and State variations
AU - Wei, Fanping
AU - Yang, Li
AU - Tan, Longyan
AU - Ma, Xiaobing
N1 - Publisher Copyright:
© 2022 IEEE.
PY - 2022
Y1 - 2022
N2 - Inspection and inspection-based maintenance is an important measure in engineering asset management, due to its capacity to alleviate health deterioration. During inspection, many plants confront with inspection errors due to measurement accuracy and other unexpected noises, which is further complicated by random state transitions. To address the problem, this study investigates the reliability modeling and evaluation approach for a two-phase continuously degrading system subject to measurement variability. Accordingly, a state-driven, multi-threshold replacement policy is devised. Upon an inspection, the hidden defect and the real-time degradation are revealed, followed by replacement decision made according to the predetermined control limit considering the measurement variability. By jointly optimizing the inspection interval and replacement control limit, the operational cost is minimized. A numerical experiment is given to verify the profitability of the proposed policy over cost reduction and availability improvement.
AB - Inspection and inspection-based maintenance is an important measure in engineering asset management, due to its capacity to alleviate health deterioration. During inspection, many plants confront with inspection errors due to measurement accuracy and other unexpected noises, which is further complicated by random state transitions. To address the problem, this study investigates the reliability modeling and evaluation approach for a two-phase continuously degrading system subject to measurement variability. Accordingly, a state-driven, multi-threshold replacement policy is devised. Upon an inspection, the hidden defect and the real-time degradation are revealed, followed by replacement decision made according to the predetermined control limit considering the measurement variability. By jointly optimizing the inspection interval and replacement control limit, the operational cost is minimized. A numerical experiment is given to verify the profitability of the proposed policy over cost reduction and availability improvement.
KW - avalability
KW - cost decision-making
KW - engineering asset management
KW - inspection planning
KW - measurement variability
KW - multi-phase system
KW - reliability analysis
KW - replacement optimization
UR - https://www.scopus.com/pages/publications/85151717776
U2 - 10.1109/SRSE56746.2022.10067370
DO - 10.1109/SRSE56746.2022.10067370
M3 - 会议稿件
AN - SCOPUS:85151717776
T3 - 2022 4th International Conference on System Reliability and Safety Engineering, SRSE 2022
SP - 493
EP - 499
BT - 2022 4th International Conference on System Reliability and Safety Engineering, SRSE 2022
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 4th International Conference on System Reliability and Safety Engineering, SRSE 2022
Y2 - 15 December 2022 through 18 December 2022
ER -