Zobrazeno 1 - 10
of 19
pro vyhledávání: '"Oliver Mey"'
Autor:
Oliver Mey, Deniz Neufeld
Publikováno v:
Sensors, Vol 22, Iss 23, p 9037 (2022)
Analyzing vibration data using deep neural networks is an effective way to detect damages in rotating machinery at an early stage. However, the black-box approach of these methods often does not provide a satisfactory solution because the cause of cl
Externí odkaz:
https://doaj.org/article/2d1c45147b904386b775444bd27e8f58
Publikováno v:
Energies, Vol 15, Iss 13, p 4922 (2022)
In the course of the switch to renewable energy sources, there is a shift from a few large energy sources (power plants) to a large number of small, distributed energy sources (e.g., photovoltaic systems) and energy storage devices (e.g., electric ve
Externí odkaz:
https://doaj.org/article/68b7bfefb0fc42e8a754b1aca4992640
Publikováno v:
Energies; Volume 15; Issue 13; Pages: 4922
In the course of the switch to renewable energy sources, there is a shift from a few large energy sources (power plants) to a large number of small, distributed energy sources (e.g., photovoltaic systems) and energy storage devices (e.g., electric ve
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ea329d37068a573ba22229f8680d8983
https://publica.fraunhofer.de/handle/publica/419289
https://publica.fraunhofer.de/handle/publica/419289
Autor:
Oliver Mey, Arash Rahimi-Iman
Chiral photonics opens new pathways to manipulate light-matter interactions and tailor the optical response of metasurfaces and -materials by nanostructuring nontrivial patterns. Chirality of matter, such as that of molecules, and light, which in the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b30f3a0497f7c26a89f8977b23dc2fe5
https://publica.fraunhofer.de/handle/publica/416113
https://publica.fraunhofer.de/handle/publica/416113
Autor:
Lorenz Maximilian Schneider, Oliver Mey, Arash Rahimi-Iman, Franziska Wall, Wei Fang, Amin Soltani, Hartmut G. Roskos, Ni Yao, Darius Günder, Frederik Walla, Peng Qing
Publikováno v:
ACS Nano. 13:5259-5267
Light-matter interactions with two-dimensional materials gained significant attention in recent years, leading to the reporting of weak and strong coupling regimes and effective nanolaser operation with various structures. Particularly, future applic
Publikováno v:
Thrombosis Journal, Vol 22, Iss 1, Pp 1-7 (2024)
Abstract A 28-year-old man diagnosed with triple positive antiphospholipid syndrome (APS) and undergoing warfarin experienced three separate admissions to the cardiac ward within a one-month period due to escalating chest pain. While the initial two
Externí odkaz:
https://doaj.org/article/f01d9700fbf54e6482ed012547ee47ea
Publikováno v:
Scientific Reports
Scientific Reports, Vol 10, Iss 1, Pp 1-8 (2020)
Scientific Reports, Vol 10, Iss 1, Pp 1-8 (2020)
A theoretical variation between the two distinct light–matter coupling regimes, namely weak and strong coupling, becomes uniquely feasible in open optical Fabry—Pérot microcavities with low mode volume, as discussed here. In combination with mon
Publikováno v:
ETFA
Fault detection at rotating machinery with the help of vibration sensors offers the possibility to detect damage to machines at an early stage and to prevent production downtimes by taking appropriate measures. The analysis of the vibration data usin
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::58c10cae7633c90e367fe17d625f853c
Autor:
Oliver Mey, André Schneider, Olaf Enge-Rosenblatt, Dirk Mayer, Christian Schmidt, Samuel Klein, Hans-Georg Herrmann
Publikováno v:
Processes, Vol 9, Iss 1108, p 1108 (2021)
Processes
Volume 9
Issue 7
Processes
Volume 9
Issue 7
Early damage detection and classification by condition monitoring systems is crucial to enable predictive maintenance of manufacturing systems and industrial facilities. Data analysis can be improved by applying machine learning algorithms and fusion
Autor:
Oliver Mey
Stell dir vor, alle würden plötzlich nur noch die Wahrheit sagen: Ehemänner, deine Nachbarn, Banker, Berühmtheiten! Unaufhaltsam breitet sich ein nie da gewesenes, unerklärliches Syndrom aus, unter dessen Einfluss die Betroffenen den Drang versp