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OA期刊


ISSN1751-8660
刊名IET electric power applications
出版商Institution of Engineering and Technology
urlhttp://ieeexplore.ieee.org/servlet/opac?punumber=4079749
机构Wiley



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2021, vol.15, no.1 2021, vol.15, no.10 2021, vol.15, no.11 2021, vol.15, no.12 2021, vol.15, no.2 2021, vol.15, no.3
2021, vol.15, no.4 2021, vol.15, no.5 2021, vol.15, no.6 2021, vol.15, no.7 2021, vol.15, no.8 2021, vol.15, no.9

题名作者出版年年卷期
Static and dynamic eccentricity fault diagnosis of large salient pole synchronous generators by means of external magnetic fieldHossein Ehya;Arne Nysveen;Robert Nilssen;Yujing Liu;20212021, vol.15, no.7
Open-phase fault tolerant driving operation of dual-inverter-based traction driveM. Pathmanathan;C.C.D. Viana;S. Semsar;P.W. Lehn;20212021, vol.15, no.7
Modelling and vector control of dual three-phase PMSM with one-phase openYashan Hu;Z. Q. Zhu;Zhan-yuan Wu;20212021, vol.15, no.7
Frequency analysis in fault detection of dual-channel BLDC motors with combined star–delta windingMariusz Korkosz;Jan Prokop;Bartomiej Pakla;Piotr Bogusz;20212021, vol.15, no.7
Fault-tolerant control strategy of open-winding brushless doubly fed wind power generator based on direct power controlShi Jin;Long Shi;Yue Zhang;Dan Sun;Bing Ji;20212021, vol.15, no.7
A comprehensive approach to convolutional neural networks-based condition monitoring of permanent magnet synchronous motor drivesDario Pasqualotto;Mauro Zigliotto;20212021, vol.15, no.7
Application of simplified convolutional neural networks for initial stator winding fault detection of the PMSM drive using different raw signal dataMaciej Skowron;Teresa Orlowska-Kowalska;Czeslaw T. Kowalski;20212021, vol.15, no.7
Eccentricity fault detection in brushless doubly fed induction machinesMojtaba Afshar;Salman Abdi;Ashknaz Oraee;Mohammad Ebrahimi;Richard McMahon;20212021, vol.15, no.7
Simple current sensor fault-tolerant control strategy for switched reluctance motors in high-reliability applicationsNasir Ali;Qiang Gao;20212021, vol.15, no.7
Extracting spatially global and local attentive features for rolling bearing fault diagnosis in electrical machines using attention stream networksYannis L. Karnavas;Spyridon Plakias;Ioannis D. Chasiotis;20212021, vol.15, no.7
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