Zobrazeno 1 - 10
of 87
pro vyhledávání: '"Teresa Escobet"'
Publikováno v:
Applied System Innovation, Vol 3, Iss 3, p 34 (2020)
This paper proposes a sensor-data-driven prognosis approach for the predictive maintenance of a liquefied natural gas (LNG) satellite plant. By using data analytics of sensors installed in the satellite plants, it is possible to predict the remaining
Externí odkaz:
https://doaj.org/article/3475909a9b344fe6ae05042fd5908638
Autor:
Claudio Giovanni Mattera, Joseba Quevedo, Teresa Escobet, Hamid Reza Shaker, Muhyiddine Jradi
Publikováno v:
Sensors, Vol 18, Iss 11, p 3931 (2018)
Buildings represent a significant portion of global energy consumption. Ventilation units are complex components, often customized for the specific building, responsible for a large part of energy consumption. Their faults impact buildings’ energy
Externí odkaz:
https://doaj.org/article/ddf9bc4a4be84686864ba75f28c60a47
Publikováno v:
Processes; Volume 11; Issue 5; Pages: 1319
The mobile phone industry, one of the fastest advancing sectors in production over the last few decades, has been associated with a high e-waste generation rate. Simultaneously, a high demand for the production of new electronic equipment has led to
Publikováno v:
UPCommons. Portal del coneixement obert de la UPC
Universitat Politècnica de Catalunya (UPC)
Universitat Politècnica de Catalunya (UPC)
Wind turbine blades are under significant gravitational, inertial, and aero-dynamic loads, which cause their fatigue and degradation during the wind turbine operational life. The present work proposes a Model Predictive Control scheme that integrates
Publikováno v:
Mediterranean Conference on Control and Automation (MED)
MED
UPCommons. Portal del coneixement obert de la UPC
Universitat Politècnica de Catalunya (UPC)
MED
UPCommons. Portal del coneixement obert de la UPC
Universitat Politècnica de Catalunya (UPC)
© 2021 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting /republishing this material for advertising or promotional purposes, creating new
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9d47387fb5f798c04dcb80161652f99b
https://hdl.handle.net/11250/3053260
https://hdl.handle.net/11250/3053260
Autor:
Teresa Escobet, Louise Travé-Massuyès
Publikováno v:
UPCommons. Portal del coneixement obert de la UPC
Universitat Politècnica de Catalunya (UPC)
Fault Diagnosis of Dynamic Systems. Quantitative and Qualitative Approaches
Teresa Escobet; Anibal Bregon; Belarmino Pulido; Vicenç Puig. Fault Diagnosis of Dynamic Systems. Quantitative and Qualitative Approaches, Springer International Publishing, pp.153-175, 2019, 978-3-030-17727-0. ⟨10.1007/978-3-030-17728-7_7⟩
Fault Diagnosis of Dynamic Systems ISBN: 9783030177270
Universitat Politècnica de Catalunya (UPC)
Fault Diagnosis of Dynamic Systems. Quantitative and Qualitative Approaches
Teresa Escobet; Anibal Bregon; Belarmino Pulido; Vicenç Puig. Fault Diagnosis of Dynamic Systems. Quantitative and Qualitative Approaches, Springer International Publishing, pp.153-175, 2019, 978-3-030-17727-0. ⟨10.1007/978-3-030-17728-7_7⟩
Fault Diagnosis of Dynamic Systems ISBN: 9783030177270
International audience; After the introduction section of Chapter 7, section 7.2 first presents a brief overview of the approaches proposed by the FDI and DX model- based diagnosis communities. Although quite commonplace, this overview is neces- sary
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1197b4a9903355f4b92fbf40db7f5429
Publikováno v:
UPCommons. Portal del coneixement obert de la UPC
Universitat Politècnica de Catalunya (UPC)
Applied System Innovation, Vol 3, Iss 34, p 34 (2020)
Applied System Innovation
Volume 3
Issue 3
Universitat Politècnica de Catalunya (UPC)
Applied System Innovation, Vol 3, Iss 34, p 34 (2020)
Applied System Innovation
Volume 3
Issue 3
This paper proposes a sensor-data-driven prognosis approach for the predictive maintenance of a liquefied natural gas (LNG) satellite plant. By using data analytics of sensors installed in the satellite plants, it is possible to predict the remaining
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a77eb0f8af5ca898577cd0e054e23185
Publikováno v:
UPCommons. Portal del coneixement obert de la UPC
Universitat Politècnica de Catalunya (UPC)
Recercat. Dipósit de la Recerca de Catalunya
instname
Universitat Politècnica de Catalunya (UPC)
Recercat. Dipósit de la Recerca de Catalunya
instname
© 2018 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new
Publikováno v:
International Journal of Adaptive Control and Signal Processing. 32:614-627
This is the peer reviewed version of the following article: Sanchez, H. E., Escobet, T., Puig, V., Fogh, P. Health-aware model predictive control of wind turbines using fatigue prognosis. "International journal of adaptive control and signal processi
Publikováno v:
Fault Diagnosis of Dynamic Systems ISBN: 9783030177270
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::bc0507c15e9ca50ab6b80b91e99b2b74
https://doi.org/10.1007/978-3-030-17728-7_3
https://doi.org/10.1007/978-3-030-17728-7_3