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Comparative study on performance characteristics of PM and reluctance machines equipped with overlapping, semi-overlapping, and non-overlapping windings
IET ELECTRIC POWER APPLICATIONS, Vol. 14, No. 6, Haziran 2020, s. 991-1001, ISSN: 1751-8660
GÜNDOĞDU TAYFUN,KÖMÜRGÖZ KIRIŞ GÜVEN
Tayfun Gündoğdu Özgün Makale reluctance machinespermanent magnet motorstorquemachine windingsdemagnetisationpermanent magnetslow eddy permanent magnet lossnonoverlapping windingsnovel semioverlapping winding topologypermanent-magnet machinedouble-salient reluctance machineelectromagnetic performancesynchronous machine technologiesNSWsynchronous reluctance machineSynRMDESIGNMOTORFERRITE
Comparative study on performance characteristics of PM and reluctance machines equipped with overlapping, semi-overlapping, and non-overlapping windings
IET ELECTRIC POWER APPLICATIONS, Vol. 14, No. 6, Haziran 2020, s. 991-1001, ISSN: 1751-8660
GÜNDOĞDU TAYFUN,KÖMÜRGÖZ KIRIŞ GÜVEN
Güven Kömürgöz Kırış Özgün Makale reluctance machinespermanent magnet motorstorquemachine windingsdemagnetisationpermanent magnetslow eddy permanent magnet lossnonoverlapping windingsnovel semioverlapping winding topologypermanent-magnet machinedouble-salient reluctance machineelectromagnetic performancesynchronous machine technologiesNSWsynchronous reluctance machineSynRMDESIGNMOTORFERRITE
Design and analysis of interior permanent magnet machines equipped with novel semi-overlapping windings
IET ELECTRIC POWER APPLICATIONS, Vol. 14, No. 8, Ağustos 2020, s. 1446-1457, ISSN: 1751-8660
GÜNDOĞDU TAYFUN,KÖMÜRGÖZ KIRIŞ GÜVEN
Güven Kömürgöz Kırış Özgün Makale machine windingsdemagnetisationeddy current lossesfinite element analysispermanent magnet machineslow magnetomotive force harmonic contentkey design rulesnovel winding topologyinterior-permanent magnet machinefractional-concentrated windingsprototype novel semioverlapping winding IPM machineinterior permanent magnet machinessemioverlapping windingsshort-end winding lengthsconventional-distributed windingsIPM machinereduced total axial lengthlow eddy current lossesirreversible magnet demagnetisationfinite-element analysisHYBRIDSYSTEMSDRIVESMOTORS
Design and analysis of interior permanent magnet machines equipped with novel semi-overlapping windings
IET ELECTRIC POWER APPLICATIONS, Vol. 14, No. 8, Ağustos 2020, s. 1446-1457, ISSN: 1751-8660
GÜNDOĞDU TAYFUN,KÖMÜRGÖZ KIRIŞ GÜVEN
Tayfun Gündoğdu Özgün Makale machine windingsdemagnetisationeddy current lossesfinite element analysispermanent magnet machineslow magnetomotive force harmonic contentkey design rulesnovel winding topologyinterior-permanent magnet machinefractional-concentrated windingsprototype novel semioverlapping winding IPM machineinterior permanent magnet machinessemioverlapping windingsshort-end winding lengthsconventional-distributed windingsIPM machinereduced total axial lengthlow eddy current lossesirreversible magnet demagnetisationfinite-element analysisHYBRIDSYSTEMSDRIVESMOTORS
Emotion Recognition via Galvanic Skin Response: Comparison of Machine Learning Algorithms and Feature Extraction Methods
ISTANBUL UNIVERSITY-JOURNAL OF ELECTRICAL AND ELECTRONICS ENGINEERING, Vol. 17, No. 1, Ocak 2017, s. 3129-3136, ISSN: 1303-0914
AYATA DEĞER,YASLAN YUSUF,KAMAŞAK MUSTAFA ERSEL
Yusuf Yaslan Özgün Makale Biomedical Signal ProcessingEmotion RecognitionPattern RecognitionMachine LearningPhysiological SignalGalvanic Skin ResponseDecision TreeRandom Forestk-Nearest NeighborsSupport Vector Machine
High-power density switched reluctance machine development for high-speed spindle applications
TURKISH JOURNAL OF ELECTRICAL ENGINEERING AND COMPUTER SCIENCES, Vol. 26, No. 3, Şubat 2018, s. 1572-1586, ISSN: 1300-0632
YAŞA YUSUF,SOZER YİLMAZ,GARİP MUHAMMET
Yusuf Yaşa Özgün Makale Computer numerical control machineshigh-speed applicationshigh-speed electric machinemilling machinesspindle motorswitched reluctance machineDESIGN CONSIDERATIONSLOSSESMOTORS
Loss analysis of high speed switched reluctance machine with integrated simulation methods
IOS Press, Vol. 56, No. 3, Şubat 2018, s. 479-497, ISSN: 1383-5416
YAŞA YUSUF,SOZER YİLMAZ,GARİP MUHAMMET
Yusuf Yaşa Özgün Makale Coupled simulationhigh speedhigh-speed electric machineiron lossskin effectswitched reluctance machineswitching lossesproximity effectPOWER LOSSESIRON LOSSESEQUATIONMOTORSMODEL
Emotion Recognition via Galvanic Skin Response: Comparison of Machine Learning Algorithms and Feature Extraction Methods
ISTANBUL UNIVERSITY-JOURNAL OF ELECTRICAL AND ELECTRONICS ENGINEERING, Vol. 17, No. 1, Ocak 2017, s. 3129-3136, ISSN: 1303-0914
AYATA DEĞER,YASLAN YUSUF,KAMAŞAK MUSTAFA ERSEL
Mustafa Ersel Kamaşak Özgün Makale Biomedical Signal ProcessingEmotion RecognitionPattern RecognitionMachine LearningPhysiological SignalGalvanic Skin ResponseDecision TreeRandom Forestk-Nearest NeighborsSupport Vector Machine
Algorithmic Trading with Machine Learning
Mathematical Sciences, Xi'an Jiaotong University, 2019
JUAN DU
Ahmet Göncü Tez Doktora Tamamlandı
Manufacturing Execution Systems and Evaluation of Machine Efficiency in Manufacturing Systems: An Example of an Injection Machine
The 22th International Symposium for Production Research (ISPR2022), 6 Ekim 2022, ISSN: 2195-4356
VATANSEVER KUBİLAY, YİLMAZ HANDE, ÖZCAN TUNCAY, KONYALIOĞLU AZİZ KEMAL, BELDEK TUĞÇE
Tuncay Özcan Tam metin bildiri
The effect of machine design parameters on the stability of a roadheader
TUNNELLING AND UNDERGROUND SPACE TECHNOLOGY, Vol. 22, No. 1, Ocak 2007, s. 81-89, ISSN: 0886-7798
ERGİN HASAN, ACAROĞLU ERGÜN ÖMÜR
Hasan Ergin Özgün Makale roadheaders excavation machine design parameters stability analysis computer program
Implementation of fractional slot concentrated winding technique in large salient-pole synchronous generators
2012 IEEE POWER ELECTRONICS AND MACHINES IN WIND APPLICATIONS (PEMWA), Denver, CO, USA/AMERİKA BİRLEŞİK DEVLETLERİ, 16 Temmuz 2012
GÜNDOĞDU TAYFUN,KÖMÜRGÖZ KIRIŞ GÜVEN
Tayfun Gündoğdu Tam metin bildiri Salient-pole synchronous machinesfractional slotconcentrated windingssaturation of polesflux linkagesmachine lossesPERMANENT-MAGNET MACHINESTATOR WINDINGSPERFORMANCETORQUE
Advanced Mobility Robustness Optimization Models in Future Mobile Networks Based on Machine Learning Solutions
Institute of Electrical and Electronics Engineers (IEEE), Vol. 10, Ocak 2022, s. 19, ISSN: 2169-3536
SHAYEA IBRAHEEM ABDULLAH MOHAMMED
Ibraheem Abdullah Mohammed Shayea Özgün Makale Optimization 5G mobile communication Heuristic algorithms Handover Robustness Cellular networks Q-learning Machine learning Heterogeneous networks handover self-optimization mobility robustness optimization handover margin time-to-trigger heterogeneous networks 5G network
Machine learning based visibility estimation to ensure safer navigation in strait of Istanbul
APPLIED OCEAN RESEARCH, Vol. 112, Temmuz 2021, ISSN: 0141-1187
UYANIK TAYFUN, KARATUĞ ÇAĞLAR, ARSLANOĞLU YASİN
Yasin Arslanoğlu Özgün Makale Safe navigation Risk assessment Istanbul strait Machine learning Visibility prediction
Modelling and simulation of synchronous machine transient analysis using SIMULINK
INTERNATIONAL JOURNAL OF ELECTRICAL ENGINEERING EDUCATION, Vol. 39, No. 4, Ekim 2002, s. 10337-346, ISSN: 0020-7209
DEMİRÖREN AYŞEN, ZEYNELGİL HATİCE LALE
Hatice Lale Zeynelgil Özgün Makale MATLAB modelling SIMULINK synchronous machine
Implementation of fractional slot concentrated winding technique in large salient-pole synchronous generators
2012 IEEE POWER ELECTRONICS AND MACHINES IN WIND APPLICATIONS (PEMWA), Denver, CO, USA/AMERİKA BİRLEŞİK DEVLETLERİ, 16 Temmuz 2012
GÜNDOĞDU TAYFUN,KÖMÜRGÖZ KIRIŞ GÜVEN
Güven Kömürgöz Kırış Tam metin bildiri Salient-pole synchronous machinesfractional slotconcentrated windingssaturation of polesflux linkagesmachine lossesPERMANENT-MAGNET MACHINESTATOR WINDINGSPERFORMANCETORQUE
Machine-Learning-Based Classification of Urban Voids: Case Study of “Balat and Fener, Istanbul, Turkey”
SPACE International Journal of Conference Proceedings, Vol. 3, No. 1, Temmuz 2023, s. 17-24, ISSN: 2977-814X
SAMADİ MOJTABA, AKÇAY KAVAKOĞLU AYŞEGÜL
Ayşegül Akçay Kavakoğlu Özgün Makale urban voids interim reuse decision tree machine learning climate change mitigation
Comparative Study of Hyperspectral Imagery Classification with SVM and Ensemble Machine Learning Methods
6th Intercontinental Geoinformation Days (IGD), Bakü/AZERBAYCAN, 13 Haziran 2023
ATİK ŞAZİYE ÖZGE
Şaziye Özge Atik Tam metin bildiri ENSEMBLE METHODSMACHINE LEARNINGHYPER-SPECTRAL
Analysing the Determinants of Surface Solar Radiation with Tree-Based Machine Learning Methods: Case of Istanbul
Pure and Applied Geophysics, Nisan 2024, ISSN: 0033-4553
GÜVEN DENİZHAN
Denizhan Güven Özgün Makale Surface solar radiationMachine learningForecastingRandom forest
Evolved model for early fault detection and health tracking in marine diesel engine by means of machine learning techniques
POMORSTVO-SCIENTIFIC JOURNAL OF MARITIME RESEARCH, Vol. 36, No. 1, Ocak 2022, s. 94-105, ISSN: 1332-0718
ŞAHİN TOLGA, İMRAK CEVAT ERDEM, ÇAKIR ALTAN, CANDAŞ ADEM
Cevat Erdem İmrak Özgün Makale Machine learning Multiclass classification Marine diesel engine Fault detection

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