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pro vyhledávání: '"Ingeborg de Pater"'
Autor:
Mihaela Mitici, Ingeborg de Pater
Publikováno v:
Aerospace, Vol 8, Iss 6, p 168 (2021)
Remaining-useful-life prognostics for aircraft components are central for efficient and robust aircraft maintenance. In this paper, we propose an end-to-end approach to obtain online, model-based remaining-useful-life prognostics by learning from clu
Externí odkaz:
https://doaj.org/article/2521591341914c0c8b13afae6bfe3b26
Autor:
Ingeborg De Pater, Mihaela Mitici
Publikováno v:
PHM Society European Conference. 7:96-109
Well-established metrics such as the Root Mean Square Error or the Mean Absolute Error are not suitable to evaluate estimated distributions of the Remaining Useful Life (i.e., probabilistic prognostics). We therefore propose novel metrics to evaluate
Publikováno v:
Reliability Engineering & System Safety, 234
The increasing availability of condition-monitoring data for components/systems has incentivized the development of data-driven Remaining Useful Life (RUL) prognostics in the past years. However, most studies focus on point RUL prognostics, with limi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a250fb26173b80efdc17259ed0f744d6
http://resolver.tudelft.nl/uuid:d39f3c2f-1975-4497-9ee3-1cc04ae00e8f
http://resolver.tudelft.nl/uuid:d39f3c2f-1975-4497-9ee3-1cc04ae00e8f
Publikováno v:
Reliability Engineering & System Safety, 221
The increasing availability of condition monitoring data for aircraft components has incentivized the development of Remaining Useful Life (RUL) prognostics in the past years. However, only few studies consider the integration of such prognostics int
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0d1d065e475241db33009229d6b2ba60
http://resolver.tudelft.nl/uuid:b980f739-a969-4f5a-983c-87d35ff661d6
http://resolver.tudelft.nl/uuid:b980f739-a969-4f5a-983c-87d35ff661d6
Autor:
Mihaela Mitici, Ingeborg de Pater
Publikováno v:
Reliability Engineering & System Safety, 214
Aircraft maintenance is undergoing a paradigm shift towards predictive maintenance, where the use of sensor data and Remaining-Useful-Life prognostics are central. This paper proposes an integrated approach for predictive aircraft maintenance plannin