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e-RULENet: remaining useful life estimation with end-to-end..:
Masanao Natsumeda
http://dx.doi.org/10.1080/18824889.2023.2195982. , 2023
Link:
https://doi.org/10.1080/18824889.2023.2195982
RT Journal T1
e-RULENet: remaining useful life estimation with end-to-end learning from long run-to-failure data
UL https://suche.suub.uni-bremen.de/peid=base-ftdoajarticles:oai:doaj.org_article:80de87aa93754851936529696fc6a0fe&Exemplar=1&LAN=DE A1 Masanao Natsumeda PB Taylor & Francis Group YR 2023 K1 remaining useful life estimation K1 predictive maintenance K1 deep learning K1 sequential model K1 end-to-end learning K1 Control engineering systems. Automatic machinery (General) K1 TJ212-225 JF http://dx.doi.org/10.1080/18824889.2023.2195982 LK http://dx.doi.org/https://doi.org/10.1080/18824889.2023.2195982 DO https://doi.org/10.1080/18824889.2023.2195982 SF ELIB - SuUB Bremen
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