DocumentCode :
2279865
Title :
Mechanical transmission and torsional vibration effects on induction machine stator current and torque in railway traction systems
Author :
Kia, Shahin Hedayati ; Henao, Humberto ; Capolino, Gérard-André
Author_Institution :
Univ. of Picardie Jules Verne, Amiens, France
fYear :
2009
fDate :
20-24 Sept. 2009
Firstpage :
3182
Lastpage :
3187
Abstract :
In this paper, the mechanical transmission and torsional vibration effect on electrical machine torque and stator current in railway traction systems is investigated. Initially, a reduced scale (1/1275) experimental set-up of the traction part is developed and instrumented based on the extrapolation of real scale parameters. Previous studies on an elementary gearbox-based electromechanical system have shown how the transmission error, the different eccentricities of the pinion and the wheel, and the teeth contact stiffness variation, influence the electrical machine torque and stator current. In this way, it will be demonstrated that the electrical machine can be considered as a sensor by itself through the electromagnetic torque estimation for torsional vibration monitoring without any extra mechanical sensor. The results of the electromagnetic torque estimation are compared with the measured mechanical torque in steady-state condition to validate the proposed technique.
Keywords :
induction motor drives; power transmission (mechanical); railways; stators; torque; traction motor drives; vibrations; elementary gearbox electromechanical system; induction machine stator current; mechanical transmission; railway traction systems; stator torque; torsional vibration; Condition Monitoring; Current Measurement; Frequency Domain Analysis; Frequency Tracking; Gearbox-Based System; Induction machine; Mechanical Systems; Motor Current Signature Analysis; Torque Estimation; Torque Oscillation;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Energy Conversion Congress and Exposition, 2009. ECCE 2009. IEEE
Conference_Location :
San Jose, CA
Print_ISBN :
978-1-4244-2893-9
Electronic_ISBN :
978-1-4244-2893-9
Type :
conf
DOI :
10.1109/ECCE.2009.5316378
Filename :
5316378
Link To Document :
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