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An Algorithm for Nonintrusive In Situ Efficiency Estimation of Induction Machines Operating With Unbalanced Supply Conditions


An Algorithm for Nonintrusive In Situ Efficiency Estimation of Induction Machines Operating With Unbalanced Supply Conditions

Siraki, Arbi Gharakhani, Gajjar, Chetan, Khan, Mohamed Azeem, Barendse, Paul and Pillay, Pragasen (2012) An Algorithm for Nonintrusive In Situ Efficiency Estimation of Induction Machines Operating With Unbalanced Supply Conditions. IEEE Transactions on Industry Applications, 48 (6). pp. 1890-1900. ISSN 0093-9994

Text (application/pdf)
Pillay2012d.pdf - Accepted Version

Official URL: http://dx.doi.org/10.1109/TIA.2012.2225813


The development of an in-situ efficiency estimation technique is a challenging task where the lowest level of intrusion and the highest possible accuracy is required. In this paper a new algorithm is discussed for in-situ efficiency estimation of induction machines under unbalanced power supplies. Prior work in literature has concentrated on balanced supplies. In addition, to have a non-intrusive speed measurement, a specific adaptive nonlinear algorithm is applied for extraction of the speed dependent current harmonics from the measured current signal. A similar algorithm is used to extract the symmetrical components from the current and voltage signals to handle the unbalanced supply conditions. Experimental results with two different machines are used to prove the effectiveness and generality of the proposed method. Measurement error analysis as well as repeatability tests have been done to determine the credibility of the proposed method.

Divisions:Concordia University > Gina Cody School of Engineering and Computer Science > Electrical and Computer Engineering
Item Type:Article
Authors:Siraki, Arbi Gharakhani and Gajjar, Chetan and Khan, Mohamed Azeem and Barendse, Paul and Pillay, Pragasen
Journal or Publication:IEEE Transactions on Industry Applications
Digital Object Identifier (DOI):10.1109/TIA.2012.2225813
Keywords:Error analysis , evolutionary algorithm , in situ efficiency estimation , induction motor , nonlinear adaptive filter , repeatability test , unbalanced supply
ID Code:976918
Deposited On:26 Feb 2013 18:24
Last Modified:18 Jan 2018 17:43


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