Otwarty dostęp

Deep convolutional neural networks for automatic coil pitches detection systems in induction motors


Zacytuj

[1] Y. Birbir and H. S. Nogay, “Harmonic variations in three-phase IMs fed by PWM inverter with different stator coil pitches”, 6 th WSEAS International Conference on Applications of Electrical Engineering, stanbul, Turkey, pp. 195-196, 2007. Search in Google Scholar

[2] A. M. Silva, F. J. T. E. Ferreira, M. V. Cistelecan, and C. H. Antunes, “Multiobjective Design Optimization of Generalized Multilayer Multiphase AC Winding, in”, IEEE Transactions on Energy Conversion, vol. 34, no. 4, pp. 2158-2167, Dec., doi: 10.1109/TEC.29350092019. Search in Google Scholar

[3] Y. Birbir, H. S. Nogay, and S. Taskin, “Prediction of current harmonics in IMs with Artificial Neural Network”, Joint Conference on Electromotion/IEEE Aegean Conference on Electrical Machines and Power Electronics, Bodrum, Turkey, pp. 707-711, 2007.10.1109/ACEMP.2007.4510594 Search in Google Scholar

[4] Y. Birbir, H. S. Nogay, and Y. Ozel, “Neural Network Solution to Low Order Odd Current Harmonics in Short Chorded IMs”, Int. J. of Systems Applications, Engineering & Development, vol. 1, no. 2, pp. 21-28, 2007. Search in Google Scholar

[5] Y. Birbir, H. S. Nogay, and Y. Karatepe, “Estimation of low order odd current harmonics in short chorded IMs using Artificial Neural Network”, 9 th WSEAS International Conference on Neural Networks (NN 08), Sofija, Bulgaria, pp. 194-197, 2008. Search in Google Scholar

[6] Y. Birbir, H. S. Nogay, and V. Topuz, “Estimation of total harmonic distortion in short chorded IMs using artificial neural network”, 6 th WSEAS International Conference on Applications of Electrical Engineering, stanbul, Turkey, pp. 206-207, 2007. Search in Google Scholar

[7] Y. Birbir and H. S. Nogay, “Voltage and Current Harmonic Variations in Three-Phase IMs with Different Stator Coil Pitches”, Int. J. Of Energy, vol. 4, no. 1, pp. 122-129, 2007. Search in Google Scholar

[8] H. S. Nogay, “Prediction of internal temperature in stator winding of three-phase IMs with ann”, European transactons on electrcal power, vol. 21, no. 1, pp. 120-128, 2011.10.1002/etep.420 Search in Google Scholar

[9] H. S. Nogay, “A Neural Network Solution to Design Dual Stator Winding Insulation Level Detector for Three Phase IMs”, WSEAS Transactions on Advances in Engineering Education, vol. 10, no. 5, pp. 234-240, 2008. Search in Google Scholar

[10] H. S. Nogay, T. C. Akinci, and E. Guseinovience, “Determination of effect of slot form on slot leakage flux at rotating electrical machines by the method of artificial neural networks”, Energy educaton scence and technology part a-energy scence and research, vol. 29, no. 1, pp. 451-462, 2012. Search in Google Scholar

[11] Y. Birbir and H. S. Nogay, “Application of Artificial Neural Network for Harmonic Estimation in Different Produced IMs”, Int. J. of Circuits, Systems and Signal Processing, vol. 4, no. 1, pp. 334-340, 2007. Search in Google Scholar

[12] H. S. Nogay and Y. Birbir, “Designation of harmonic estimation ANN model using experimental data obtained from different produced IMs”, 9 th WSEAS International Conference on Neural Networks (NN 08), Sofija, Bulgaria, pp. 198-201, 2008. Search in Google Scholar

[13] D. Hadiouche, H. Razik, and A. Rezzoug, “On the modeling and design of dual-stator windings to minimize circulating harmonic currents for VSI fed AC machines, in”, IEEE Transactions on Industry Applications, vol. 40, no. 2, pp. 506-515, March-April, doi: 10.1109/TIA.824511.2004. Search in Google Scholar

[14] R. Deshmukh, A. J. Moses, and F. Anayi, “Improvement in Performance of Short Chorded Three-Phase IMs With Variable PWM Switching Frequency, in”, IEEE Transactions on Magnetics, vol. 42, no. 10, pp. 3452-3454, Oct., doi: 10.1109/TMAG.879082, 2006. Search in Google Scholar

[15] M. V. Cistelecan, H. B. Cosan, and M. Popescu, “Part-winding starting improvement of three-phase squirrel-cage IM”, 2009 8 th International Symposium on Advanced Electromechanical Motion Systems & Electric Drives Joint Symposium, 8 th International Symposium on Advanced Electromechanical Motion Systems & Electric Drives Joint Symposium, pp. 1-6, doi: 10.1109/ELECTROMOTION.5259141, 2009. Search in Google Scholar

[16] A. F. M. Correia, A. M. Silva, and F. J. T. E. Ferreira, “Experimental Study on the Impact of MMF Spatial Harmonics in the Mechanical Vibration of a Three-Phase IM”, 2020 International Conference on Electrical Machines (ICEM), International Conference on Electrical Machines (ICEM), pp. 1560-1566, doi: 10.1109/ICEM49940.9271001, 2020. Search in Google Scholar

[17] A. M. Silva, F. J. T. E. Ferreira, G. Falcäo, and M. Rodrigues, “Novel Method to Minimize the Air-Gap MMF Spatial Harmonic Content in Three-Phase Windings”, 2018 XIII International Conference on Electrical Machines (ICEM), XIII International Conference on Electrical Machines (ICEM), pp. 2504-2510, doi: 10.1109/ICELMACH.8507206, 2018. Search in Google Scholar

[18] A. Tessarolo, M. Mezzarobba, and A. Contin, “A stator winding design with unequally-sized coils for adjusting air-gap space harmonic content of induction machines”, The XIX International Conference on Electrical Machines - ICEM 2010, The XIX International Conference on Electrical Machines - ICEM, pp. 1-7, doi: 10.1109/ICELMACH.5608286, 2010. Search in Google Scholar

[19] T. Gundogdu, Z. Q. Zhu, and J. C. Mipo, “Analysis of coil pitch in induction machines for electric vehicle applications, in IET Electric Power Applications”, vol. 14, no. 12, pp. 2525-2536, 12, doi: 10.1049/iet-epa.2019.0980.10.1049/iet-epa.2019.0980 Search in Google Scholar

[20] U. Michelucci, Advanced Applied Deep Learning: Convolutional Neural Networks and Object Detection (1 st ed.), Apress, 2019 2020.10.1007/978-1-4842-4976-5_1 Search in Google Scholar

[21] K. He, X. Zhang, S. Ren, and J. Sun, “Deep Residual Learning for Image Recognition”, IEEE Conference on Computer Vision and Pattern Recognition (CVPR), pp. 770-778, doi: 10.1109/CVPR.90. Search in Google Scholar

[22] C. M. Bishop, Pattern Recognition and Machine Learning (Information Science and Statistics) Softcover reprint of the original 1 st ed. 2006, Springer, 2016. Search in Google Scholar

[23] D. A. Kocabas, “Novel winding and core design for maximum reduction of harmonic magnetomotive force in ac motors”, IEEE Transactions on Magnetics, vol. 45, no. 2, pp. 735746, Feb. 2009. Search in Google Scholar

[24] A. Tessarolo, “A quadratic-programming approach to the design optimization of fractional-slot concentrated windings for surface permanentmagnet machines”, IEEE Transactions on Energy Conversion, vol. 33, no. 1, pp. 442452, March 2018. Search in Google Scholar

[25] N. Tang and I. P. Brown, “Framework and solution techniques for suppressing electric machine winding mmf space harmonics by varying slot distribution and coil turns”, IEEE Transactions on Magnetics, vol. 54, no. 5, pp. 112, May 2018.10.1109/TMAG.2018.2804897 Search in Google Scholar

[26] M. A. Kabir, M. Z. M. Jaffar, Z. Wan, and I. Husain, “Design, optimization, and experimental evaluation of multilayer ac winding for induction machine”, IEEE Transactions on Industry Applications, vol. 55, no. 4, pp. 36303639, July 2019. Search in Google Scholar

[27] N. Bekka, M. E. H. Zaim, N. Bernard, and D. Trichet, “A novel methodology for optimal design of fractional slot with concentrated windings”, IEEE Transactions on Energy Conversion, vol. 31, no. 3, pp. 11531160, 2016. Search in Google Scholar

[28] A. M. Silva, C. H. Antunes, A. M. S. Mendes, and F. J. T. E. Ferreira, “On Phase Shifting and Diversified Coil-Pitch for Enhanced Multiobjective Winding Design Optimization”, in IEEE Transactions on Energy Conversion, doi: 10.1109/TEC.2020.3037358.10.1109/TEC.2020.3037358 Search in Google Scholar

eISSN:
1339-309X
Język:
Angielski
Częstotliwość wydawania:
6 razy w roku
Dziedziny czasopisma:
Engineering, Introductions and Overviews, other