Modeling and detecting the stator winding inter turn fault of permanent magnet synchronous motors using stator current signature analysis

2020 ◽  
Vol 167 ◽  
pp. 325-339 ◽  
Author(s):  
N. Yassa ◽  
M. Rachek
Keyword(s):  
Permanent Magnet ◽  
Stator Winding ◽  
Signature Analysis ◽  
Permanent Magnet Synchronous Motors ◽  
Synchronous Motors ◽  
Stator Current ◽  
Current Signature

Modeling of Surface-Mounted Permanent Magnet Synchronous Motors With Stator Winding Interturn Faults

2011 ◽  
Vol 58 (5) ◽  
pp. 1576-1585 ◽  
Author(s):  
Luís Romeral ◽  
Julio César Urresty ◽  
Jordi-Roger Riba Ruiz ◽  
Antonio Garcia Espinosa
Keyword(s):  
Permanent Magnet ◽  
Stator Winding ◽  
Permanent Magnet Synchronous Motors ◽  
Synchronous Motors

scholarly journals Comparison of Selected Methods for the Stator Winding Condition Monitoring of a PMSM Using the Stator Phase Currents

Energies ◽  
2021 ◽  
Vol 14 (6) ◽  
pp. 1630
Author(s):  
Przemyslaw Pietrzak ◽  
Marcin Wolkiewicz
Keyword(s):  
Permanent Magnet ◽  
Early Stage ◽  
Permanent Magnet Synchronous Motor ◽  
Experimental Studies ◽  
Discrete Wavelet ◽  
Stator Winding ◽  
Permanent Magnet Synchronous Motors ◽  
Synchronous Motors ◽  
Phase Current ◽  
Short Circuits

Stator winding faults are one of the most common faults of permanent magnet synchronous motors (PMSMs), and searching for methods to efficiently detect this type of fault and at an early stage of damage is still an ongoing, important topic. This paper deals with the selected methods for detecting stator winding faults (short-circuits) of a permanent magnet synchronous motor, which are based on the analysis of the stator phase current signal. These methods were experimentally verified and their effectiveness was carefully compared. The article presents the results of experimental studies obtained from the spectral analysis of the stator phase current, stator phase current envelope, and the discrete wavelet transform. The original fault indicators (FIs) based on the observation of the symptoms of stator winding fault were distinguished using the aforementioned methods, which clearly show which symptom is most sensitive to the incipient fault of the stator winding of PMSMs.

scholarly journals Pulse Width Modulation Analysis of Five-Level Inverter- Fed Permanent Magnet Synchronous Motors for Electric Vehicle Applications

2021 ◽  
Vol 1 (4) ◽  
pp. 477-487
Author(s):  
Omokhafe J. Tola ◽  
Edwin A. Umoh ◽  
Enesi A. Yahaya
Keyword(s):  
Permanent Magnet ◽  
Electric Vehicle ◽  
Pulse Width ◽  
Pulse Width Modulation ◽  
High Efficiency ◽  
Performance Enhancement ◽  
Time Synchronization ◽  
Stator Winding ◽  
Permanent Magnet Synchronous Motors ◽  
Synchronous Motors

In recent times, intense research has been focused on the performance enhancement of permanent magnet synchronous motors (PMSM) for electric vehicle (EV) applications to reduce their torque and current ripples. Permanent magnet synchronous motors are widely used in electric vehicle systems due to their high efficiency and high torque density. To have a good dynamic and transient response, an appropriate inverter topology is required. In this paper, a five-level inverter fed PMSM for electric vehicle applications, realized via co-simulation in an electromagnetic suite environment with a reduced stator winding current of PMSM via the use of in-phase disposition (PD) pulse width modulation (PWM) techniques as the control strategy is presented. The proposed topology minimizes the total harmonic distortion (THD) in the inverter circuit and the motor fed and also improves the torque ripples and the steady-state flux when compared to conventional PWM techniques. A good dynamic response was achieved with less than 10A stator winding current, zero percent overshoot, and 0.02 second settling time synchronization. Thus, the stator currents are relatively low when compared to the conventional PWM. This topology contribution to the open problem of evolving strategies that can enhance the performance of electric drive systems used in unmanned aerial vehicles (UAV), mechatronics, and robotic systems.

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