Çira F.Arkan M.Gümüş B.Goktas T.2024-08-042024-08-0420169781509034741https://doi.org/10.1109/IECON.2016.7793717https://hdl.handle.net/11616/92244IEEE Industrial Electronics Society (IES);Institute of Electrical and Electronics Engineers (IEEE)42nd Conference of the Industrial Electronics Society, IECON 2016 -- 24 October 2016 through 27 October 2016 -- 125546It is quite important to detect stator short-circuit fault, which is the most common fault type, at incipient stage. It is possible to carry out fault detection using Motor Current Signature Analysis (MCSA) method. In this study, stator current and voltage space vectors of PMSMs were analyzed with MCSA under various load torque, speed and fault percentages conditions. The Negative & positive harmonics were obtained by applying Fast Fourier Transform (FFT) to space vectors of stator current and voltage. It is suggested that by using the obtained fault signatures, stator inter-turn fault estimation can be achieved accurately. The results of comprehensive analysis carried out under various load torque and speed conditions show that characteristics fault signatures are both present in the current and the voltage space vectors spectra. © 2016 IEEE.eninfo:eu-repo/semantics/closedAccessCondition MonitoringFault DiagnosisInter-turn Short CircuitPMSMPositive and negative sequence harmonicsConference Object1453145710.1109/IECON.2016.77937172-s2.0-85010078134N/A