Study on multi-event opportunistic maintenance decision-making model based on condition

Quanlei Wu; Chuan Lv; Dong Zhou; Yaoyao Wang; Dequan Yu

doi:10.1109/ICPHM.2016.7542854

Study on multi-event opportunistic maintenance decision-making model based on condition

Quanlei Wu, Chuan Lv, Dong Zhou, Yaoyao Wang, Dequan Yu

Beihang University

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

2 Scopus citations

Abstract

Because of the maintenance time of different maintenance events have varying degrees flexibility, and different occasion of maintenance will bring different impact on the maintenance and use of the system. Therefore, firstly, this paper analyzes the characteristics of hard time maintenance event and degenerate maintenance event. Secondly, it analyzes the influence of different maintenance events in different maintenance time. Thirdly, it based on opportunistic maintenance decision-making theory, according to the dependence between components in the system, integrating multiple repair events, aiming at minimized maintenance cost, builds multi-events opportunistic maintenance decision model based on health status. Finally, this model is solved by the optimization algorithm to find the optimal maintenance time and the combination of the components.

Original language	English
Title of host publication	2016 IEEE International Conference on Prognostics and Health Management, ICPHM 2016
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9781509003822
DOIs	https://doi.org/10.1109/ICPHM.2016.7542854
State	Published - 12 Aug 2016
Externally published	Yes
Event	2016 IEEE International Conference on Prognostics and Health Management, ICPHM 2016 - Ottawa, Canada Duration: 20 Jun 2016 → 22 Jun 2016

Publication series

Name	2016 IEEE International Conference on Prognostics and Health Management, ICPHM 2016

Conference

Conference	2016 IEEE International Conference on Prognostics and Health Management, ICPHM 2016
Country/Territory	Canada
City	Ottawa
Period	20/06/16 → 22/06/16

Bibliographical note

Publisher Copyright:
© 2016 IEEE.

Keywords

Health Status
Maintenance Decision-ma king Model
Maintenance Event Correlation
Opportunistic maintenance

Access to Document

10.1109/ICPHM.2016.7542854

Cite this

Wu, Q., Lv, C., Zhou, D., Wang, Y., & Yu, D. (2016). Study on multi-event opportunistic maintenance decision-making model based on condition. In 2016 IEEE International Conference on Prognostics and Health Management, ICPHM 2016 Article 7542854 (2016 IEEE International Conference on Prognostics and Health Management, ICPHM 2016). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICPHM.2016.7542854

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abstract = "Because of the maintenance time of different maintenance events have varying degrees flexibility, and different occasion of maintenance will bring different impact on the maintenance and use of the system. Therefore, firstly, this paper analyzes the characteristics of hard time maintenance event and degenerate maintenance event. Secondly, it analyzes the influence of different maintenance events in different maintenance time. Thirdly, it based on opportunistic maintenance decision-making theory, according to the dependence between components in the system, integrating multiple repair events, aiming at minimized maintenance cost, builds multi-events opportunistic maintenance decision model based on health status. Finally, this model is solved by the optimization algorithm to find the optimal maintenance time and the combination of the components.",

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author = "Quanlei Wu and Chuan Lv and Dong Zhou and Yaoyao Wang and Dequan Yu",

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Wu, Q, Lv, C, Zhou, D, Wang, Y & Yu, D 2016, Study on multi-event opportunistic maintenance decision-making model based on condition. in 2016 IEEE International Conference on Prognostics and Health Management, ICPHM 2016., 7542854, 2016 IEEE International Conference on Prognostics and Health Management, ICPHM 2016, Institute of Electrical and Electronics Engineers Inc., 2016 IEEE International Conference on Prognostics and Health Management, ICPHM 2016, Ottawa, Canada, 20/06/16. https://doi.org/10.1109/ICPHM.2016.7542854

Study on multi-event opportunistic maintenance decision-making model based on condition. / Wu, Quanlei; Lv, Chuan; Zhou, Dong et al.
2016 IEEE International Conference on Prognostics and Health Management, ICPHM 2016. Institute of Electrical and Electronics Engineers Inc., 2016. 7542854 (2016 IEEE International Conference on Prognostics and Health Management, ICPHM 2016).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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AB - Because of the maintenance time of different maintenance events have varying degrees flexibility, and different occasion of maintenance will bring different impact on the maintenance and use of the system. Therefore, firstly, this paper analyzes the characteristics of hard time maintenance event and degenerate maintenance event. Secondly, it analyzes the influence of different maintenance events in different maintenance time. Thirdly, it based on opportunistic maintenance decision-making theory, according to the dependence between components in the system, integrating multiple repair events, aiming at minimized maintenance cost, builds multi-events opportunistic maintenance decision model based on health status. Finally, this model is solved by the optimization algorithm to find the optimal maintenance time and the combination of the components.

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KW - Maintenance Decision-ma king Model

KW - Maintenance Event Correlation

KW - Opportunistic maintenance

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Wu Q, Lv C, Zhou D, Wang Y, Yu D. Study on multi-event opportunistic maintenance decision-making model based on condition. In 2016 IEEE International Conference on Prognostics and Health Management, ICPHM 2016. Institute of Electrical and Electronics Engineers Inc. 2016. 7542854. (2016 IEEE International Conference on Prognostics and Health Management, ICPHM 2016). doi: 10.1109/ICPHM.2016.7542854

Study on multi-event opportunistic maintenance decision-making model based on condition

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Keywords

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