The following information was submitted:
Transactions: WSEAS TRANSACTIONS ON ADVANCES IN ENGINEERING EDUCATION
Transactions ID Number: 28-215
Full Name: H. Selcuk Nogay
Position: Doctor (Researcher)
Age: ON
Sex: Male
Address: Marmara Universitesy Technical Education Faculty Departmant of Electric Education, Gostepe Campus, Kadýkoy, 34722 , Istanbul, Turkey
Country: TURKEY
Tel: +903365770
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Fax:
E-mail address: selcuknogay@marmara.edu.tr
Other E-mails: hidirselcuknogay@gmail.com
Title of the Paper: A Neural Network Solution to Design Dual Stator Winding Winding Insulation Level Detector for Three Phase Induction Motors
Authors as they appear in the Paper: H. Selcuk Nogay
Email addresses of all the authors: selcuknogay@marmara.edu.tr
Number of paper pages: 11
Abstract: Abstract: This paper implements an Artificial Neural Network (ANN) model able to predict the insulation level in a dual-stator winding squirrel-cage three-phase induction motor fed by an inverter. A sinusoidal pulse-width modulation(SPWM) inverter feeding three-phase induction motors were tested up to over load. The results show that the artificial neural network model produces reliable estimates of Insulation level for dual stator winding.
Keywords: Artificial Neural Network (ANN); Three-phase Induction Motor; Insulation level, Dual Stator winding.
EXTENSION of the file: .pdf
Special (Invited) Session: Designation of Harmonic Estimation ANN Model Using Experimental Data Obtained From Different Produced Induction Motors.
Organizer of the Session: 607-354
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