Zobrazeno 1 - 10
of 76
pro vyhledávání: '"Angela Meyer"'
Publikováno v:
Energy and AI, Vol 17, Iss , Pp 100375- (2024)
Federated learning has recently emerged as a privacy-preserving distributed machine learning approach. Federated learning enables collaborative training of multiple clients and entire fleets without sharing the involved training datasets. By preservi
Externí odkaz:
https://doaj.org/article/bd59de4ed38c4030a6cfaefa1e213f3b
Publikováno v:
STAR Protocols, Vol 4, Iss 4, Pp 102717- (2023)
Summary: Sensory neurons play pervasive roles throughout biology. In vitro studies to probe their functions hinge on the successful application of primary cell culture. Here, we present a protocol for the isolation and culture of mouse dorsal root ga
Externí odkaz:
https://doaj.org/article/82855a507c1d457493dc978f5b99b54d
Publikováno v:
Energies, Vol 16, Iss 17, p 6377 (2023)
A wealth of data is constantly being collected by manufacturers from their wind turbine fleets. And yet, a lack of data access and sharing impedes exploiting the full potential of the data. Our study presents a privacy-preserving machine learning app
Externí odkaz:
https://doaj.org/article/fe8b6b54c0a242089becc225bf830653
Publikováno v:
Energies, Vol 16, Iss 4, p 1760 (2023)
Most wind turbines are remotely monitored 24/7 to allow for early detection of operation problems and developing damage. We present a new fault detection approach for vibration-monitored drivetrains that does not require any feature engineering. Our
Externí odkaz:
https://doaj.org/article/7dc436d84d8b4bb89cc3d150a25763f5
Publikováno v:
Energies, Vol 16, Iss 1, p 180 (2022)
In the wind energy industry, the power curve represents the relationship between the “wind speed” at the hub height and the corresponding “active power” to be generated. It is the most versatile condition indicator and of vital importance in
Externí odkaz:
https://doaj.org/article/16dc993a71ff43648db59a64166451a2
Autor:
Angela Meyer
Publikováno v:
Energies, Vol 15, Iss 4, p 1514 (2022)
A growing number of wind turbines are equipped with vibration measurement systems to enable the close monitoring and early detection of developing fault conditions. The vibration measurements are analyzed to continuously assess the component health a
Externí odkaz:
https://doaj.org/article/8be9c4c155a0492897b4c459ed9e03fe
Publikováno v:
Sede de Ler, Vol 3, Iss 1, Pp 3-4 (2020)
Existem certos termos que transitam cotidianamente entre nós, e seu uso contínuo nos leva a esquecer que as palavras se fazem, se constroem, se transformam, na cultura e na história... E por que com a Infância seria diferente?
Externí odkaz:
https://doaj.org/article/45799171e7e54813b93db67648c25fd8
Autor:
Alberto Carpentieri, Doris Folini, Daniele Nerini, Seppo Pulkkinen, Martin Wild, Angela Meyer
Solar energy generation is highly volatile during the day due to the strong dependence on cloud dynamics, which limits its integration into the power grid (Smith et al., 2022). On the other hand, higher utilization of renewable energy is essential to
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2659ef5ebdf499ff347b2acaf938f2f9
https://doi.org/10.5194/egusphere-egu23-12924
https://doi.org/10.5194/egusphere-egu23-12924
Accurate intraday forecasts of surface solar radiation (SSR) are essential for utility companies and electricity grid operators. However, satellite SSR estimates can suffer from surprisingly low accuracies on short observation time scales and from si
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::48a24a91441e9f0499afa7a2342a75f7
https://doi.org/10.5194/ems2022-366
https://doi.org/10.5194/ems2022-366
Publikováno v:
Energies
Volume 16
Issue 4
Pages: 1760
Volume 16
Issue 4
Pages: 1760
Most wind turbines are remotely monitored 24/7 to allow for early detection of operation problems and developing damage. We present a new fault detection approach for vibration-monitored drivetrains that does not require any feature engineering. Our
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1025b6da55310d35456816f6587d69e4
http://arxiv.org/abs/2206.12452
http://arxiv.org/abs/2206.12452