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Stefan cel Mare
University of Suceava
Faculty of Electrical Engineering and
Computer Science
13, Universitatii Street
Suceava - 720229
ROMANIA

Print ISSN: 1582-7445
Online ISSN: 1844-7600
WorldCat: 644266260
doi: 10.4316/AECE


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  3/2016 - 4

Thermal Response Estimation in Substation Connectors Using Data-Driven Models

GIACOMETTO, F. See more information about GIACOMETTO, F. on SCOPUS See more information about GIACOMETTO, F. on IEEExplore See more information about GIACOMETTO, F. on Web of Science, CAPELLI, F. See more information about  CAPELLI, F. on SCOPUS See more information about  CAPELLI, F. on SCOPUS See more information about CAPELLI, F. on Web of Science, ROMERAL, L. See more information about  ROMERAL, L. on SCOPUS See more information about  ROMERAL, L. on SCOPUS See more information about ROMERAL, L. on Web of Science, RIBA, J.-R. See more information about  RIBA, J.-R. on SCOPUS See more information about  RIBA, J.-R. on SCOPUS See more information about RIBA, J.-R. on Web of Science, SALA, E. See more information about SALA, E. on SCOPUS See more information about SALA, E. on SCOPUS See more information about SALA, E. on Web of Science
 
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Download PDF pdficon (1,247 KB) | Citation | Downloads: 136 | Views: 200

Author keywords
computer simulation, connectors, finite element methods, predictive models, thermal analysis

References keywords
engineer(8), comput(7), neural(6), jcie(6), indust(6), simulation(5), process(5), finite(5), element(5), time(4)
No common words between the references section and the paper title.

About this article
Date of Publication: 2016-08-31
Volume 16, Issue 3, Year 2016, On page(s): 25 - 30
ISSN: 1582-7445, e-ISSN: 1844-7600
Digital Object Identifier: 10.4316/AECE.2016.03004
Web of Science Accession Number: 000384750000004
SCOPUS ID: 84991096061

Abstract
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Temperature rise simulations are one of the key steps in the design of high-voltage substation connectors. These simulations help minimizing the number of experimental tests, which are power consuming and expensive. The conventional approach to perform these simulations relies on finite element method (FEM). It is highly desirable to reduce the number of required FEM simulations since they are time-consuming. To this end, this paper presents a data-driven modeling approach to drastically shorten the required simulation time. The data-driven approach estimates the thermal response of substation connectors from the data provided by a reduced number of FEM simulations of different operating conditions, thus allowing extrapolating the thermal response to other operating conditions. In the study, a partitioning method is also applied to enhance the performance of the learning stage of a set of data-driven methods, which are then compared and evaluated in terms of simulation time and accuracy to select the optimal configuration of the data-driven model. Finally, the complete methodology is validated against simulation tests.


References | Cited By  «-- Click to see who has cited this paper

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References Weight

Web of Science® Citations for all references: 5,151 TCR
SCOPUS® Citations for all references: 18,943 TCR

Web of Science® Average Citations per reference: 178 ACR
SCOPUS® Average Citations per reference: 653 ACR

TCR = Total Citations for References / ACR = Average Citations per Reference

We introduced in 2010 - for the first time in scientific publishing, the term "References Weight", as a quantitative indication of the quality ... Read more

Citations for references updated on 2016-12-07 07:28 in 130 seconds.




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