Browse by author
Lookup NU author(s): Dr Jordan Oakley, Professor Kevin WilsonORCiD, Dr Pete PhilipsonORCiD
This work is licensed under a Creative Commons Attribution 4.0 International License (CC BY 4.0).
© 2025 The AuthorsThis document contains corrections for the paper ``A Condition-Based Maintenance Policy for Continuously Monitored Multi-Component Systems with Economic and Stochastic Dependence". Corrections Figure 4.2 (in the main manuscript) considers an interval I = [a,b], where a is the time of the current maintenance opportunity, and b is the time of the final maintenance opportunity. The end of the interval, b, should be the time of the first component failure after the final maintenance opportunity. This is because the final action under the (condition-based maintenance) CBM-policy considers the loss between the final maintenance opportunity and the first component failure after this opportunity. Figure 4.2 in the main manuscript is corrected in this document and labelled Figure 4.2.C. This interval correction changes the results shown in Figure 4.8 (of the main manuscript) and consequently changes the conclusions of Section 4.2.2.3. CBM Policy (ξ = 6) versus CPT Policy and some conclusions in Section 5. Conclusion. Figure 4.8 in the main manuscript is corrected and labelled Figure 4.8.C in this corrigendum and Section 4.2.2.3 and Section 5. are rewritten in this document. Section 4.2.2.3 CBM Policy (ξ = 6) versus CPT Policy Figure 4.8.C shows the difference in (cost per unit time) CPT between the CPT policy and the CBM policy for different values of S and σL. From Figure 4.8.C we can see that the CBM policy and the CPT policy perform approximately the same for all values of S for σL =2, 4. The CBM policy outperforms the CPT policy for σL =6 and S=40 and for σL = 8 and S=40, 60, 80. Moreover, there are potential benefits to writing the loss of each type of dependence separately in the loss-based utility function. First, writing the loss of each type of dependence separately shows the cost of each type of dependence. It could be beneficial, in terms of design or maintenance planning, to understand which dependence is the most expensive.
Author(s): Oakley JL, Wilson KJ, Philipson P
Publication type: Note
Publication status: Published
Journal: Reliability Engineering and System Safety
Year: 2025
Volume: 257
Issue: Part B
Print publication date: 01/05/2025
Online publication date: 15/02/2025
Acceptance date: 02/04/2024
ISSN (print): 0951-8320
ISSN (electronic): 1879-0836
Publisher: Elsevier Ltd
URL: https://doi.org/10.1016/j.ress.2025.110874
DOI: 10.1016/j.ress.2025.110874
