Zobrazeno 1 - 10
of 10
pro vyhledávání: '"Tommaso Barbariol"'
Autor:
Qiuran Wang, Tommaso Barbariol, Gian Antonio Susto, Bianca Bonato, Silvia Guerra, Umberto Castiello
Publikováno v:
Plants, Vol 12, Iss 4, p 965 (2023)
Climbing plants require an external support to grow vertically and enhance light acquisition. Climbers that find a suitable support demonstrate greater performance and fitness than those that remain prostrate. Support search is characterized by oscil
Externí odkaz:
https://doaj.org/article/c24189fa00f24e9ca361236a316e36cc
Publikováno v:
Informatics, Vol 8, Iss 3, p 58 (2021)
In oil and gas production, it is essential to monitor some performance indicators that are related to the composition of the extracted mixture, such as the liquid and gas content of the flow. These indicators cannot be directly measured and must be i
Externí odkaz:
https://doaj.org/article/5c0f02f66d6e4351a48e1e92dc22b9e2
Publikováno v:
Energies, Vol 13, Iss 12, p 3136 (2020)
Measuring systems are becoming increasingly sophisticated in order to tackle the challenges of modern industrial problems. In particular, the Multiphase Flow Meter (MPFM) combines different sensors and data fusion techniques to estimate quantities th
Externí odkaz:
https://doaj.org/article/341930b3137a4c4ebcfbe39904081f9e
Autor:
Qiuran Wang, Tommaso Barbariol, Gian Antonio Susto, Bianca Bonato, Silvia Guerra, Umberto Castiello
Climbing plants require an external support to grow vertically and enhance light acquisition. Climbers that find a suitable support have greater performance and fitness than those that remain prostrate. Support search is characterized by oscillatory
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5ceee6f280fd164e2c8e6ab95ead4d49
Publikováno v:
2022 IEEE 23rd Latin American Test Symposium (LATS).
Publikováno v:
Springer Series in Reliability Engineering ISBN: 9783030838188
Data-driven Anomaly Detection approaches have received increasing attention in many application areas in the past few years as a tool to monitor complex systems in addition to classical univariate control charts. Tree-based approaches have proven to
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a3da138a55de0813ad7f5ca97bf12f33
https://doi.org/10.1007/978-3-030-83819-5_7
https://doi.org/10.1007/978-3-030-83819-5_7
Publikováno v:
IFAC-PapersOnLine. 52:212-217
Multiphase Flow Meters (MPFM) are important metering tools in the oil and gas industry. A MPFM provides real-time measurements of gas, oil and water flows of a well without the need to separate the phases, a time-consuming procedure that has been cla
Autor:
Tommaso Barbariol, GIAN ANTONIO SUSTO
Unsupervised anomaly detection tackles the problem of finding anomalies inside datasets without the labels availability; since data tagging is typically hard or expensive to obtain, such approaches have seen huge applicability in recent years. In thi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b520ae3aa1c359d49af9a75e0e1e1d9b
Publikováno v:
Day 2 Tue, January 14, 2020.
In the oil and gas industry, the need of Multiphase Flow Meters (MPFM) continues slowly to grow. The individual oil, gas and water flows rates measurements are important to monitor the reservoir, to improve the well performances and to optimize the w
Publikováno v:
Scopus-Elsevier
Objectives/Scope A Multi-Phase Flow Meter (MPFM) performs Water Liquid Ratio (WLR) estimations using a dedicated sensor relying on one physical principle (e.g. electrical impedance). The accuracy of the WLR sensor might also be dependent on the flow
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::98f1955a1d720ce6b1501d942ffabc20
http://www.scopus.com/inward/record.url?eid=2-s2.0-85095713059&partnerID=MN8TOARS
http://www.scopus.com/inward/record.url?eid=2-s2.0-85095713059&partnerID=MN8TOARS