Zobrazeno 1 - 10
of 53
pro vyhledávání: '"Alexandre Sava"'
Publikováno v:
Sensors, Vol 24, Iss 20, p 6586 (2024)
The ability and rapid access to execution data and information in manufacturing workshops have been greatly improved with the wide spread of the Internet of Things and artificial intelligence technologies, enabling real-time unmanned integrated contr
Externí odkaz:
https://doaj.org/article/cfe6a6a61aa049a1aa7d275c4da17d2d
Publikováno v:
SN Applied Sciences, Vol 5, Iss 11, Pp 1-9 (2023)
Abstract Feature selection is a difficult but highly important preliminary step for bearings remaining useful life (RUL) estimation. To avoid the weights setting problem in hybrid metric, this work devotes to conduct feature selection by using a sing
Externí odkaz:
https://doaj.org/article/ec511023047f4b679bb4df591206b4cb
Publikováno v:
Machines, Vol 9, Iss 12, p 315 (2021)
Four noise-assisted empirical mode decomposition (EMD) algorithms, i.e., ensemble EMD (EEMD), complementary ensemble EMD (CEEMD), complete ensemble EMD with adaptive noise (CEEMDAN), and improved complete ensemble EMD with adaptive noise (ICEEMDAN),
Externí odkaz:
https://doaj.org/article/4db5474cbdb448288a38d4bffa830bff
Publikováno v:
Sensors, Vol 21, Iss 11, p 3581 (2021)
This paper investigates the long term drift phenomenon affecting electrochemical sensors used in real environmental conditions to monitor the nitrogen dioxide concentration [NO2]. Electrochemical sensors are low-cost gas sensors able to detect pollut
Externí odkaz:
https://doaj.org/article/1f8ab8eaadab4669b8cc33c5c0919ffd
Publikováno v:
Sensors, Vol 18, Iss 11, p 3716 (2018)
Recently, the emergence of low-cost sensors have allowed electronic noses to be considered for densifying the actual air pollution monitoring networks in urban areas. Electronic noses are affected by changes in environmental conditions and sensor dri
Externí odkaz:
https://doaj.org/article/0027f03cf6fb45e69d4b82f6adcfae50
Publikováno v:
ISA Transactions. 131:397-414
This paper proposes an incipient chatter detection method to meet high dynamic applications' time and reliability constraints, such as high-speed milling involving heavy noise. The herein introduced method relies on a multiple sampling per revolution
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7000ecf74760884fe46ddb5c49aaee40
https://doi.org/10.1016/j.isatra.2022.05.039
https://doi.org/10.1016/j.isatra.2022.05.039
Publikováno v:
In IFAC Proceedings Volumes 23-25 May 2012 45(6):285-290
Publikováno v:
Energy. 263:126159
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::29e7cbbd4b4560b70b00d6d53c018065
https://doi.org/10.1016/j.energy.2022.126159
https://doi.org/10.1016/j.energy.2022.126159
Publikováno v:
2021 International Conference on Control, Automation and Diagnosis (ICCAD).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ebe99bc4997a7616e300c3006c467318
https://doi.org/10.1109/iccad52417.2021.9638737
https://doi.org/10.1109/iccad52417.2021.9638737
Publikováno v:
Machines, Vol 9, Iss 315, p 315 (2021)
Machines; Volume 9; Issue 12; Pages: 315
Machines; Volume 9; Issue 12; Pages: 315
Four noise-assisted empirical mode decomposition (EMD) algorithms, i.e., ensemble EMD (EEMD), complementary ensemble EMD (CEEMD), complete ensemble EMD with adaptive noise (CEEMDAN), and improved complete ensemble EMD with adaptive noise (ICEEMDAN),
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::bda3dd1dcc95398ffcfd3a51a1b069d7
https://www.mdpi.com/2075-1702/9/12/315
https://www.mdpi.com/2075-1702/9/12/315