Non-intrusive efficiency estimation of induction machines under various power supplies

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dc.contributor.advisorKhan, Azeemen_ZA
dc.contributor.advisorBarendse, Paul Stanleyen_ZA
dc.contributor.authorGajjar, Chetan Sudhiren_ZA
dc.date.accessioned2015-10-06T13:59:17Z
dc.date.available2015-10-06T13:59:17Z
dc.date.issued2013en_ZA
dc.description.abstractConsidering that 45% of the world's generated electricity is consumed by induction machines, determining an induction motors efficiency non-intrusively is of great importance in that it enables the machine to operate productively whilst ensuring that the energy consumed by the machine is utilized efficiently. International efficiency testing methods such as the IEEE 112-B can determine a motors efficiency accurately at the cost of hindering the machines productivity. Alternatively, various methods used to determine a machines efficiency in-situ do so at the cost of accuracy. This research proposes a method that determines an induction machines efficiency over a range of load conditions from tests conducted and centered around one thermally stable load point in the least intrusive manner possible. Coupled with vibration sensors used to determine a motor's speed, measured input voltages and currents are used to deduce a machine efficiency-load profile through the use of a modified evolutionary algorithm, the Non-Intrusive Efficiency Estimation using Population-Based Incremental Learning(NIEE-PBIL) algorithm. Five temporal load measurements are taken, centered around one thermally stable load point, to determine the machines efficiency profile from two equivalent circuit implementations; the Standard Circuit NIEE-PBIL and the Iron-Loss NIEE-PBIL.en_ZA
dc.identifier.apacitationGajjar, C. S. (2013). <i>Non-intrusive efficiency estimation of induction machines under various power supplies</i>. (Thesis). University of Cape Town ,Faculty of Engineering & the Built Environment ,Department of Electrical Engineering. Retrieved from http://hdl.handle.net/11427/14138en_ZA
dc.identifier.chicagocitationGajjar, Chetan Sudhir. <i>"Non-intrusive efficiency estimation of induction machines under various power supplies."</i> Thesis., University of Cape Town ,Faculty of Engineering & the Built Environment ,Department of Electrical Engineering, 2013. http://hdl.handle.net/11427/14138en_ZA
dc.identifier.citationGajjar, C. 2013. Non-intrusive efficiency estimation of induction machines under various power supplies. University of Cape Town.en_ZA
dc.identifier.ris TY - Thesis / Dissertation AU - Gajjar, Chetan Sudhir AB - Considering that 45% of the world's generated electricity is consumed by induction machines, determining an induction motors efficiency non-intrusively is of great importance in that it enables the machine to operate productively whilst ensuring that the energy consumed by the machine is utilized efficiently. International efficiency testing methods such as the IEEE 112-B can determine a motors efficiency accurately at the cost of hindering the machines productivity. Alternatively, various methods used to determine a machines efficiency in-situ do so at the cost of accuracy. This research proposes a method that determines an induction machines efficiency over a range of load conditions from tests conducted and centered around one thermally stable load point in the least intrusive manner possible. Coupled with vibration sensors used to determine a motor's speed, measured input voltages and currents are used to deduce a machine efficiency-load profile through the use of a modified evolutionary algorithm, the Non-Intrusive Efficiency Estimation using Population-Based Incremental Learning(NIEE-PBIL) algorithm. Five temporal load measurements are taken, centered around one thermally stable load point, to determine the machines efficiency profile from two equivalent circuit implementations; the Standard Circuit NIEE-PBIL and the Iron-Loss NIEE-PBIL. DA - 2013 DB - OpenUCT DP - University of Cape Town LK - https://open.uct.ac.za PB - University of Cape Town PY - 2013 T1 - Non-intrusive efficiency estimation of induction machines under various power supplies TI - Non-intrusive efficiency estimation of induction machines under various power supplies UR - http://hdl.handle.net/11427/14138 ER - en_ZA
dc.identifier.urihttp://hdl.handle.net/11427/14138
dc.identifier.vancouvercitationGajjar CS. Non-intrusive efficiency estimation of induction machines under various power supplies. [Thesis]. University of Cape Town ,Faculty of Engineering & the Built Environment ,Department of Electrical Engineering, 2013 [cited yyyy month dd]. Available from: http://hdl.handle.net/11427/14138en_ZA
dc.language.isoengen_ZA
dc.publisher.departmentDepartment of Electrical Engineeringen_ZA
dc.publisher.facultyFaculty of Engineering and the Built Environment
dc.publisher.institutionUniversity of Cape Town
dc.subject.otherElectrical Engineeringen_ZA
dc.titleNon-intrusive efficiency estimation of induction machines under various power suppliesen_ZA
dc.typeMaster Thesis
dc.type.qualificationlevelMasters
dc.type.qualificationnameMSc (Eng)en_ZA
uct.type.filetypeText
uct.type.filetypeImage
uct.type.publicationResearchen_ZA
uct.type.resourceThesisen_ZA
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