Zobrazeno 1 - 10
of 21
pro vyhledávání: '"Mirko Knaak"'
Improving Semi-Supervised Learning for Remaining Useful Lifetime Estimation Through Self-Supervision
Publikováno v:
International Journal of Prognostics and Health Management, Vol Vol. 13, Iss No.1 (2022)
RUL estimation plays a vital role in effectively scheduling maintenance operations. Unfortunately, it suffers from a severe data imbalance where data from machines near their end of life is rare. Additionally, the data produced by a machine can only
Externí odkaz:
https://doaj.org/article/b0da868afc2e4c419378d008dcb9545c
Improving Semi-Supervised Learning for Remaining Useful Lifetime Estimation Through Self-Supervision
RUL estimation suffers from a server data imbalance where data from machines near their end of life is rare. Additionally, the data produced by a machine can only be labeled after the machine failed. Semi-Supervised Learning (SSL) can incorporate the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::41a112f5c43af4313ce62d125de0ce58
http://arxiv.org/abs/2108.08721
http://arxiv.org/abs/2108.08721
Publikováno v:
ICPHM
Unsupervised Domain Adaption (DA) is an approach for adapting a data-driven model to new data without labels. Recent work on Remaining Useful Lifetime (RUL) estimation of aero engines yielded promising results for this approach. However, the current
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e465f5188dae13847f380ff0a8fe6184
https://doi.org/10.1109/icphm49022.2020.9187058
https://doi.org/10.1109/icphm49022.2020.9187058
Publikováno v:
ATZ - Automobiltechnische Zeitschrift. 120:96-103
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::abd1932a9e13ef0ec0cc9480e9e614d6
https://doi.org/10.1007/s35148-018-0095-3
https://doi.org/10.1007/s35148-018-0095-3
Publikováno v:
ATZ worldwide. 120:94-101
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c8d7822ffebec9c1b1452cc3d3610e2d
https://doi.org/10.1007/s38311-018-0089-5
https://doi.org/10.1007/s38311-018-0089-5
Publikováno v:
MTZ worldwide. 78:70-75
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1d31b2c7956e3b361f1191f590162e34
https://doi.org/10.1007/s38313-017-0113-y
https://doi.org/10.1007/s38313-017-0113-y
Publikováno v:
MTZ - Motortechnische Zeitschrift. 78:74-78
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b973f652dc5a178f0c07af51d0c64af3
https://doi.org/10.1007/s35146-017-0114-z
https://doi.org/10.1007/s35146-017-0114-z
Publikováno v:
ATZextra. 21:26-31
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::401df033460e33caa048ac8a00890dce
https://doi.org/10.1007/s35778-016-0010-z
https://doi.org/10.1007/s35778-016-0010-z
Publikováno v:
The Proceedings of the International symposium on diagnostics and modeling of combustion in internal combustion engines. :129-134
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ba6f72e10ae95ece841978443629a99d
https://doi.org/10.1299/jmsesdm.2008.7.129
https://doi.org/10.1299/jmsesdm.2008.7.129
Publikováno v:
MTZ - Motortechnische Zeitschrift. 68:276-282
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e07de033422cc99ed386fece81d05d42
https://doi.org/10.1007/bf03227399
https://doi.org/10.1007/bf03227399