Remaining-Useful-Life prognostics for opportunistic grouping of maintenance of landing gear brakes for a fleet of aircraft

J. Lee; I.I. de Pater; S.A. Boekweit; M.A. Mitici

doi:10.36001/phme.2022.v7i1.3316

Remaining-Useful-Life prognostics for opportunistic grouping of maintenance of landing gear brakes for a fleet of aircraft

J. Lee^*, I.I. de Pater, S.A. Boekweit, M.A. Mitici

^*Corresponding author for this work

Air Transport & Operations

Research output: Chapter in Book/Conference proceedings/Edited volume › Conference contribution › Scientific › peer-review

44 Downloads (Pure)

Abstract

Several studies have proposed Remaining-Useful-Life (RUL) prognostics for aircraft components in the last years. However, few studies focus on integrating these RUL prognostics into maintenance planning frameworks. This paper proposes an optimization model for opportunistic maintenance scheduling of aircraft components that integrates RUL prognostics and that groups the maintenance of these components to reduce costs. We illustrate our approach for the maintenance of a fleet of aircraft, each equipped with multiple landing
gear brakes. RUL prognostics for the landing gear brakes are obtained using a Bayesian regression model. Based on these RUL prognostics, we group the replacement of brakes using an integer linear program. As a result, we obtain a cost-optimal RUL-driven opportunistic-maintenance schedule for the brakes of a fleet of aircraft. Compared with traditional maintenance strategies, our approach leads to a reduction of up to 20% of the total maintenance costs.

Original language	English
Title of host publication	Proceedings of the European Conference of the PHM Society 2022
Editors	Phuc Do, Gabriel Michau, Cordelia Ezhilarasu
Pages	278-285
Number of pages	8
Volume	7
Edition	1
ISBN (Electronic)	978-1-936263-36-3
DOIs	https://doi.org/10.36001/phme.2022.v7i1.3316
Publication status	Published - 2022
Event	PHM Society European Conference 2022 - Turin, Italy Duration: 6 Jul 2022 → 8 Jul 2022

Conference

Conference	PHM Society European Conference 2022
Country/Territory	Italy
City	Turin
Period	6/07/22 → 8/07/22

Access to Document

10.36001/phme.2022.v7i1.3316

3316-Document Upload-11046-1-10-20220630Final published version, 797 KBLicence: CC BY

5 Article

Alarm-based predictive maintenance scheduling for aircraft engines with imperfect Remaining Useful Life prognostics
de Pater, I., Reijns, A. & Mitici, M., 2022, In: Reliability Engineering and System Safety. 221, 11 p., 108341.
Research output: Contribution to journal › Article › Scientific › peer-review

Open Access
File
47 Citations (Scopus)

122 Downloads (Pure)
Multi-objective design of aircraft maintenance using Gaussian process learning and adaptive sampling
Lee, J. & Mitici, M., 2022, In: Reliability Engineering and System Safety. 218, 16 p., 108123.
Research output: Contribution to journal › Article › Scientific › peer-review

Open Access
File
23 Citations (Scopus)

82 Downloads (Pure)
Online model-based remaining-useful-life prognostics for aircraft cooling units using time-warping degradation clustering
Mitici, M. & De Pater, I., 2021, In: Aerospace. 8, 6, 18 p., 168.
Research output: Contribution to journal › Article › Scientific › peer-review

Open Access
File
10 Citations (Scopus)

64 Downloads (Pure)

1 Finished

ReMAP: Real-time Condition-based Maintenance for Adaptive Aircraft Maintenance Planning
Santos, B. F., Zarouchas, D., Mitici, M. A., Verhagen, W. J. C., Mechbal, N., Rébillat, M., Guskov, M., Bieber, P., Olive, X., Ghosh, A., Chabukswar, R., Couto, L., Ribeiro, B., Cardoso, A., Machado, P., Dourado, A., Arrais, J. P., Silva, C., Roque, L., Loutas, T., Kostopoulos, V. & Sotiriadis, G.
1/06/22 → 31/08/22
Project: Research

Best Paper Award 2nd Prize, European Conference of the Prognostics and Health Management Society
Lee, J. (Recipient), de Pater, I.I. (Recipient) & Mitici, M.A. (Recipient), 2022
Prize: Prize (including medals and awards)

Cite this

Lee, J., de Pater, I. I., Boekweit, S. A., & Mitici, M. A. (2022). Remaining-Useful-Life prognostics for opportunistic grouping of maintenance of landing gear brakes for a fleet of aircraft. In P. Do, G. Michau, & C. Ezhilarasu (Eds.), Proceedings of the European Conference of the PHM Society 2022 (1 ed., Vol. 7, pp. 278-285) https://doi.org/10.36001/phme.2022.v7i1.3316

@inproceedings{89996655162d4430983abd8ab7435013,

title = "Remaining-Useful-Life prognostics for opportunistic grouping of maintenance of landing gear brakes for a fleet of aircraft",

abstract = "Several studies have proposed Remaining-Useful-Life (RUL) prognostics for aircraft components in the last years. However, few studies focus on integrating these RUL prognostics into maintenance planning frameworks. This paper proposes an optimization model for opportunistic maintenance scheduling of aircraft components that integrates RUL prognostics and that groups the maintenance of these components to reduce costs. We illustrate our approach for the maintenance of a fleet of aircraft, each equipped with multiple landinggear brakes. RUL prognostics for the landing gear brakes are obtained using a Bayesian regression model. Based on these RUL prognostics, we group the replacement of brakes using an integer linear program. As a result, we obtain a cost-optimal RUL-driven opportunistic-maintenance schedule for the brakes of a fleet of aircraft. Compared with traditional maintenance strategies, our approach leads to a reduction of up to 20% of the total maintenance costs.",

author = "J. Lee and {de Pater}, I.I. and S.A. Boekweit and M.A. Mitici",

year = "2022",

doi = "10.36001/phme.2022.v7i1.3316",

language = "English",

volume = "7",

pages = "278--285",

editor = "Do, {Phuc } and Michau, {Gabriel } and Ezhilarasu, {Cordelia }",

booktitle = "Proceedings of the European Conference of the PHM Society 2022",

edition = "1",

note = "PHM Society European Conference 2022 ; Conference date: 06-07-2022 Through 08-07-2022",

}

Lee, J, de Pater, II, Boekweit, SA & Mitici, MA 2022, Remaining-Useful-Life prognostics for opportunistic grouping of maintenance of landing gear brakes for a fleet of aircraft. in P Do, G Michau & C Ezhilarasu (eds), Proceedings of the European Conference of the PHM Society 2022. 1 edn, vol. 7, pp. 278-285, PHM Society European Conference 2022, Turin, Italy, 6/07/22. https://doi.org/10.36001/phme.2022.v7i1.3316

Remaining-Useful-Life prognostics for opportunistic grouping of maintenance of landing gear brakes for a fleet of aircraft. / Lee, J.; de Pater, I.I.; Boekweit, S.A. et al.
Proceedings of the European Conference of the PHM Society 2022. ed. / Phuc Do; Gabriel Michau; Cordelia Ezhilarasu. Vol. 7 1. ed. 2022. p. 278-285.

Research output: Chapter in Book/Conference proceedings/Edited volume › Conference contribution › Scientific › peer-review

TY - GEN

T1 - Remaining-Useful-Life prognostics for opportunistic grouping of maintenance of landing gear brakes for a fleet of aircraft

AU - Lee, J.

AU - de Pater, I.I.

AU - Boekweit, S.A.

AU - Mitici, M.A.

PY - 2022

Y1 - 2022

N2 - Several studies have proposed Remaining-Useful-Life (RUL) prognostics for aircraft components in the last years. However, few studies focus on integrating these RUL prognostics into maintenance planning frameworks. This paper proposes an optimization model for opportunistic maintenance scheduling of aircraft components that integrates RUL prognostics and that groups the maintenance of these components to reduce costs. We illustrate our approach for the maintenance of a fleet of aircraft, each equipped with multiple landinggear brakes. RUL prognostics for the landing gear brakes are obtained using a Bayesian regression model. Based on these RUL prognostics, we group the replacement of brakes using an integer linear program. As a result, we obtain a cost-optimal RUL-driven opportunistic-maintenance schedule for the brakes of a fleet of aircraft. Compared with traditional maintenance strategies, our approach leads to a reduction of up to 20% of the total maintenance costs.

AB - Several studies have proposed Remaining-Useful-Life (RUL) prognostics for aircraft components in the last years. However, few studies focus on integrating these RUL prognostics into maintenance planning frameworks. This paper proposes an optimization model for opportunistic maintenance scheduling of aircraft components that integrates RUL prognostics and that groups the maintenance of these components to reduce costs. We illustrate our approach for the maintenance of a fleet of aircraft, each equipped with multiple landinggear brakes. RUL prognostics for the landing gear brakes are obtained using a Bayesian regression model. Based on these RUL prognostics, we group the replacement of brakes using an integer linear program. As a result, we obtain a cost-optimal RUL-driven opportunistic-maintenance schedule for the brakes of a fleet of aircraft. Compared with traditional maintenance strategies, our approach leads to a reduction of up to 20% of the total maintenance costs.

U2 - 10.36001/phme.2022.v7i1.3316

DO - 10.36001/phme.2022.v7i1.3316

M3 - Conference contribution

VL - 7

SP - 278

EP - 285

BT - Proceedings of the European Conference of the PHM Society 2022

A2 - Do, Phuc

A2 - Michau, Gabriel

A2 - Ezhilarasu, Cordelia

T2 - PHM Society European Conference 2022

Y2 - 6 July 2022 through 8 July 2022

ER -

Remaining-Useful-Life prognostics for opportunistic grouping of maintenance of landing gear brakes for a fleet of aircraft

Abstract

Conference

Access to Document

Fingerprint

Research output

Alarm-based predictive maintenance scheduling for aircraft engines with imperfect Remaining Useful Life prognostics

Multi-objective design of aircraft maintenance using Gaussian process learning and adaptive sampling

Online model-based remaining-useful-life prognostics for aircraft cooling units using time-warping degradation clustering

Projects

ReMAP: Real-time Condition-based Maintenance for Adaptive Aircraft Maintenance Planning

Prizes

Best Paper Award 2nd Prize, European Conference of the Prognostics and Health Management Society

Cite this