@ARTICLE{Krzysztofiak_Mateusz_Online_2023,
 author={Krzysztofiak, Mateusz and Zawilak, Tomasz and Tarchała, Grzegorz},
 volume={vol. 72},
 number={No 1},
 journal={Archives of Electrical Engineering},
 pages={103-124},
 howpublished={online},
 year={2023},
 publisher={Polish Academy of Sciences},
 abstract={Modern drives with Permanent Magnet Synchronous Motors (PMSMs) require both efficient control structure to ensure excellent dynamics and effective diagnostic algorithms to detect the motor faults that can occur. This paper shows the combination of both mentioned aspects – the direct-axis based signals of the Field Oriented Control (FOC) structure are proposed as diagnostic signals to allow diagnosing the interturn short-circuit failure that can appear inside stator windings. The amplitudes of second order harmonics are selected as the fault indicators. Different modelling methods are analysed and compared in detail in this paper: an analytical mathematical model, a Finite Element Method (FEM)- based model and next verified using a laboratory setup. The results obtained using all the mentioned models proved that the proposed fault indices are increasing significantly with the number of shorted turns and are independent on the load torque level.},
 type={Article},
 title={Online control signal-based diagnosis of interturn short circuits of PMSM drive},
 URL={http://ochroma.man.poznan.pl/Content/126769/PDF/art06_int_corr.pdf},
 doi={10.24425/aee.2023.143692},
 keywords={decoupling, diagnostic, FEM, interturn short circuits, modelling, PMSM},
}