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Integrating PrognosticsAircraft Prognostics and Health Management in the Design and Manufacturing of Future Aircraft
NOVA Information Management School, Universidade NOVA de Lisboa, Campus de Campolide, 1070-312, Lisboa, Portugal.
BRT Centre of Excellence, Department of Transport Engineering and Logistics, Pontificia Universidad Católica de Chile, Vicuña Mackenna 4860, Macul, Casilla 306, Código 105, Santiago, Chile.
TU Delft, Kluyverweg 1, 2629 HS, Delft, The Netherlands.
TU Delft, Kluyverweg 1, 2629 HS, Delft, The Netherlands.
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2025 (English)In: Artificial Intelligence for Smart Manufacturing and Industry X.0 / [ed] M. M. Manjurul Islam; Marcia L. Baptista; Faisal Tariq, Springer Nature , 2025, Vol. Part F138, p. 121-145Chapter in book (Other academic)
Abstract [en]

Prognostics and Health Management (PHM) is a multidisciplinary framework that provides vital information to operators to ensure maximum system uptime and system safety. It does this by estimating the current and future condition (health) of engineering systems and providing decision support. In recent years, PHM has evolved from being a post hoc maintenance support tool to an essential system that should be integrated throughout all stages of the equipment lifecycle. This chapter describes the essential steps of how PHM can be used in the design and manufacturing of future aircraft. There are many benefits in adopting and evaluating PHM in the design stage. This includes a system that is ultimately easier to monitor and maintain, has better logistics, has reduced overall costs, and has less unplanned downtime. As such, it is argued here that PHM should be designed together with the aircraft. Therefore, this chapter proposes a methodology that includes PHM considerations at all stages of aircraft design. By promoting the integration of these disciplines − PHM, engineering design and manufacturing −, we hope to contribute to more reliable and safe aircraft that can achieve more cost-effective operations and a more sustainable future. 

Place, publisher, year, edition, pages
Springer Nature , 2025. Vol. Part F138, p. 121-145
Series
Springer Series in Advanced Manufacturing, ISSN 1860-5168, E-ISSN 2196-1735
National Category
Production Engineering, Human Work Science and Ergonomics Reliability and Maintenance
Research subject
Operation and Maintenance Engineering
Identifiers
URN: urn:nbn:se:ltu:diva-112344DOI: 10.1007/978-3-031-80154-9_6Scopus ID: 2-s2.0-105000337587OAI: oai:DiVA.org:ltu-112344DiVA, id: diva2:1951634
Note

ISBN for host publication: 978-3-031-80153-2, 978-3-031-80156-3, 978-3-031-80154-9

Available from: 2025-04-11 Created: 2025-04-11 Last updated: 2025-10-21Bibliographically approved

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Goebel, Kai

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