DocumentCode
3603565
Title
Analysis of a Nonintrusive Efficiency Estimation Technique for Induction Machines Compared to the IEEE 112B and IEC 34-2-1 Standards
Author
Gajjar, Chetan S. ; Kinyua, Jamlick M. ; Khan, Mohamed A. ; Barendse, Paul S.
Author_Institution
Dept. of Electr. Eng., Univ. of Cape Town, Cape Town, South Africa
Volume
51
Issue
6
fYear
2015
Firstpage
4541
Lastpage
4553
Abstract
International efficiency testing standards, such as the IEEE 112-B and IEC 34-2-1, can determine the efficiency of an induction machine (IM) accurately at the cost of hindering the machine´s productivity. Alternatively, various methods used to determine a machine´s efficiency in situ do so at the cost of accuracy. This paper proposes a method that determines an IM´s efficiency over a range of load conditions from tests conducted and centered around one thermally stable load point in the least intrusive manner possible. The results are then compared to those of the IEEE 112-B and IEC 34-2-1 motor testing standards using segregated loss analysis. It was found that despite the proposed algorithm being unable to accurately determine core losses, the efficiency of a machine can be estimated to within 0.5%-2.1% and 1.1%-1.7% error, when compared to the IEEE 112-B and IEC 34-2-1 standards, respectively over a 25%-150% machine load profile (dependent upon the proposed method´s implementations).
Keywords
IEC standards; IEEE standards; asynchronous machines; estimation theory; machine testing; IEC 34-2-1 motor testing standards; IEEE 112-B motor testing standards; IM efficiency; core losses; induction machines; international efficiency testing standards; loss analysis; machine load profile; nonintrusive efficiency estimation technique; Estimation; IEC standards; Induction motors; Rotors; Stators; Temperature measurement; Efficiency estimation; PBIL; efficiency estimation; induction motors; non-intrusive; nonintrusive; parameter estimation; population-based incremental learning (PBIL); segregated loss analysis;
fLanguage
English
Journal_Title
Industry Applications, IEEE Transactions on
Publisher
ieee
ISSN
0093-9994
Type
jour
DOI
10.1109/TIA.2015.2453257
Filename
7152919
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