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http://bura.brunel.ac.uk/handle/2438/11716
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DC Field | Value | Language |
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dc.contributor.author | Khodapanah, M | - |
dc.contributor.author | Zobaa, AF | - |
dc.contributor.author | Abbod, M | - |
dc.coverage.spatial | Stoke On Trent, United Kingdom | - |
dc.coverage.spatial | Stoke On Trent, United Kingdom | - |
dc.date.accessioned | 2015-12-07T14:05:05Z | - |
dc.date.available | 2015-12-07T14:05:05Z | - |
dc.date.issued | 2015 | - |
dc.identifier.citation | Power Engineering Conference (UPEC), 2015 50th International Universities, pp. 1 - 5, Stoke On Trent, UK, (1-4 September 2015 ) | en_US |
dc.identifier.uri | http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=7339877 | - |
dc.identifier.uri | http://bura.brunel.ac.uk/handle/2438/11716 | - |
dc.description.abstract | Power factor is a significant element in power systems which is defined as the angle difference between voltages and currents that produces power fluctuation between sources and loads. Since, 40-50% of consumption of electrical power in industry is induction machines which are inductive loads, monitoring of the power factor is necessary in order to protect systems. To monitor the power factor on induction machines, it would require both voltage and current waveforms measurement in order to apply the displacement method which require equipments. In this paper, we present a mathematical method using Kriging to determine the operating power factor for an induction machine. Estimation of the operating power factor would be effectively implemented for under load detection and compensation for improving the power quality. Experimental results will be indicated to substantiate the feasibility of the proposed methods. | en_US |
dc.format.extent | 1 - 5 | - |
dc.language.iso | en | en_US |
dc.publisher | IEEE | en_US |
dc.source | 50th International Universities Power Engineering Conference (UPEC 2015) | - |
dc.source | 50th International Universities Power Engineering Conference (UPEC 2015) | - |
dc.subject | Exponential model | en_US |
dc.subject | Induction machine | en_US |
dc.subject | Kriging analysis | en_US |
dc.subject | Power factor | en_US |
dc.title | Monitoring of power factor for induction machines using estimation techniques | en_US |
dc.type | Conference Paper | en_US |
dc.identifier.doi | http://dx.doi.org/10.1109/UPEC.2015.7339877 | - |
pubs.finish-date | 2015-09-04 | - |
pubs.finish-date | 2015-09-04 | - |
pubs.publication-status | Published | - |
pubs.publication-status | Published | - |
pubs.start-date | 2015-09-01 | - |
pubs.start-date | 2015-09-01 | - |
Appears in Collections: | Dept of Electronic and Electrical Engineering Research Papers |
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Fulltext.pdf | 445.45 kB | Adobe PDF | View/Open |
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