TY - GEN
T1 - A Condition-based Maintenance Policy for Two-stage Continuous Degradation Considering Inspection Errors
AU - Wang, Jiantai
AU - Ma, Xiaobing
AU - Zhao, Yu
AU - Yang, Li
N1 - Publisher Copyright:
© 2023 IEEE.
PY - 2023
Y1 - 2023
N2 - Inspection is susceptible to human error and limitations stemming from equipment and methodology, resulting in imperfect outcome. Additionally, the maintenance decision-making regarding to two-stage continuous degradation lacks the consideration of two inspection errors, i.e., false positive (FP) and false negative (FN). Motivated by filling the gaps, this paper introduces a condition-based maintenance strategy for two-stage continuous system, which is executed in conjunction with the outcome of imperfect inspection and the deterioration magnitude. Specifically, if the degradation value of the normal stage exceeds the pre-set threshold, a threshold-based replacement will be implemented; and the system suffers replacement simultaneously once the defective state is diagnosed. The long run cost rate, serving as the criterion, has been minimized via optimizing the inspection interval and replacement limit. Again, a numerical maintenance planning experiment of high-speed railway bearing has been conducted to verify the superiority of the cost-saving and robustness subordinate to the proposed maintenance policy.
AB - Inspection is susceptible to human error and limitations stemming from equipment and methodology, resulting in imperfect outcome. Additionally, the maintenance decision-making regarding to two-stage continuous degradation lacks the consideration of two inspection errors, i.e., false positive (FP) and false negative (FN). Motivated by filling the gaps, this paper introduces a condition-based maintenance strategy for two-stage continuous system, which is executed in conjunction with the outcome of imperfect inspection and the deterioration magnitude. Specifically, if the degradation value of the normal stage exceeds the pre-set threshold, a threshold-based replacement will be implemented; and the system suffers replacement simultaneously once the defective state is diagnosed. The long run cost rate, serving as the criterion, has been minimized via optimizing the inspection interval and replacement limit. Again, a numerical maintenance planning experiment of high-speed railway bearing has been conducted to verify the superiority of the cost-saving and robustness subordinate to the proposed maintenance policy.
KW - imperfect inspection
KW - maintenance planning
KW - multistage degradation
UR - https://www.scopus.com/pages/publications/85181762404
U2 - 10.1109/SRSE59585.2023.10336085
DO - 10.1109/SRSE59585.2023.10336085
M3 - 会议稿件
AN - SCOPUS:85181762404
T3 - 2023 5th International Conference on System Reliability and Safety Engineering, SRSE 2023
SP - 339
EP - 346
BT - 2023 5th International Conference on System Reliability and Safety Engineering, SRSE 2023
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 5th International Conference on System Reliability and Safety Engineering, SRSE 2023
Y2 - 20 October 2023 through 23 October 2023
ER -