Zobrazeno 1 - 10
of 26
pro vyhledávání: '"Apostolidis, Asteris"'
Autor:
Kefalas, Marios, Rojo Jr., Juan de Santiago, Apostolidis, Asteris, Herik, Dirk van den, van Stein, Bas, Bäck, Thomas
Data-driven modeling is an imperative tool in various industrial applications, including many applications in the sectors of aeronautics and commercial aviation. These models are in charge of providing key insights, such as which parameters are impor
Externí odkaz:
http://arxiv.org/abs/2203.13108
Publikováno v:
In Transportation Research Procedia 2021 56:55-62
Akademický článek
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Publikováno v:
MATEC Web of Conferences, Vol 349, p 03011 (2021)
This work focuses on humidity effects of turbofan engines, in order to identify the magnitude of the error in operational conditions and the implications on maintenance decision support. More specifically, this paper employs a set of different method
Externí odkaz:
https://doaj.org/article/b471c86e057b49b4803d0fd27932a1a4
Autor:
Volker, Arno, Stamoulis, Konstantinos P, Schoemaker, Christiaan, Apostolidis, Asteris, Tongeren, Donald van, Poppe, Robert, Bekkema, Bart, Martina, Quincy
Publikováno v:
Journal of Physics: Conference Series; Dec2023, Vol. 2692 Issue 1, p1-8, 8p
Akademický článek
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Publikováno v:
MATEC Web of Conferences, Vol 304, p 04005 (2019)
Data analytics seems a promising approach to address the problem of unpredictability in MRO organizations. The Amsterdam University of Applied Sciences in cooperation with the aviation industry has initiated a two-year applied research project to exp
Externí odkaz:
https://doaj.org/article/8face9afa9624a288e1526e4d46d3e79
Autor:
Kefalas, Marios, van Stein, Bas, Baratchi, Mitra, Apostolidis, Asteris, Bäck, Thomas, Do, Phuc, Michau, Gabriel, Ezhilarasu, Cordelia
Publikováno v:
PHM Society European Conference, 7(1), 245-260. PHM Society
Proceedings of the 7th European Conference of the Prognostics and Health Management Society 2022, 7(1), 245-260
Proceedings of the 7th European Conference of the Prognostics and Health Management Society 2022, 7(1), 245-260
Estimating the remaining useful life (RUL) of an asset lies at the heart of prognostics and health management (PHM) of many operations-critical industries such as aviation. Modern methods of RUL estimation adopt techniques from deep learning (DL). Ho
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e5e4828bfda919205994b177b1e7eaca
https://research.hva.nl/en/publications/a8c97189-33d2-4187-9a67-05ecd2e4fea6
https://research.hva.nl/en/publications/a8c97189-33d2-4187-9a67-05ecd2e4fea6
Publikováno v:
Proceedings of ASME Turbo Expo 2022: Turbomachinery Technical Conference and Exposition, 2(GT2022), 1-12
Remaining Useful Life (RUL) estimation is directly related with the application of predictive maintenance. When RUL estimation is performed via data-driven methods and Artificial Intelligence algorithms, explainability and interpretability of the mod
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::fd4390fcf34c8eca47d6854be53884a7
https://doi.org/10.1115/gt2022-80777
https://doi.org/10.1115/gt2022-80777
Autor:
Apostolidis, Asteris, Pelt, Maurice, Stamoulis, Konstantinos P., Myklebust, Thor, Stålhane, Tor, Jenssen, Gunnar Deinboll, Wærø, Irene
Publikováno v:
Annual Symposium on Reliability and Maintainability (RAMS)
Summary & ConclusionsAs every new generation of civil aircraft creates more on-wing data and fleets gradually become more connected with the ground, an increased number of opportunities can be identified for more effective Maintenance, Repair and Ove
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::fba0d10de7e95e0d718f21f3e6e7b4b6
https://research.hva.nl/en/publications/d8249105-36be-40b2-a460-3f9c286dfb81
https://research.hva.nl/en/publications/d8249105-36be-40b2-a460-3f9c286dfb81