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Rating of Electric Power Cables: Ampacity Computations for Transmission, Distribution, and Industrial Applications
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The article was published on 1997-11-01 and is currently open access. It has received 160 citations till now. The article focuses on the topics: Ampacity & Power rating.read more
Citations
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Power Line Sensor Networks for Enhancing Power Line Reliability and Utilization
Yin Yang,Qiuping Zheng +1 more
Journal ArticleDOI
High-Ampacity Power Cables of Tightly-Packed and Aligned Carbon Nanotubes
Xuan Wang,Natnael Behabtu,Colin C. Young,Dmitri E. Tsentalovich,Matteo Pasquali,Junichiro Kono +5 more
TL;DR: In this article, the authors measured the failure current density (FCD) and continuous current rating (CCR) of carbon nanotube (CNT) fibers and showed that the CCC of these fibers is determined by the balance between current-induced Joule heating and heat exchange with the surroundings.
Journal ArticleDOI
Effects of Backfilling on Cable Ampacity Analyzed With the Finite Element Method
F. de Leon,George J. Anders +1 more
TL;DR: In this paper, a parametric study on how cable ampacity is affected by different configurations of the backfills is performed and the obtained results are compared with those of the IEC and IEEE standards (Neher-McGrath) and published extensions by El-Kady and Horrocks.
Journal ArticleDOI
Thermal performance optimization of the underground power cable system by using a modified Jaya algorithm
Paweł Ocłoń,Piotr Cisek,Monika Rerak,Dawid Taler,R. Venkata Rao,Andrea Vallati,Marcin Pilarczyk +6 more
TL;DR: In this paper, a modified Jaya algorithm is proposed to minimize material costs of underground power cable systems under the constraint that the cable conductor temperature shall not exceed its optimum value of 65°C.
Proceedings ArticleDOI
An implementation of expected utility theory in decision based design
Matthew Marston,Farrokh Mistree +1 more
TL;DR: In this article, a framework for applying axioms similar to those formulated by von-Neumann and Morgenstern for developing utilities under conditions of risk is proposed. But the framework is restricted to a very narrow focus: evaluating a simple design problem through the use of Monte Carlo simulation.
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