Title :
Torsional vibration monitoring using induction machine electromagnetic torque estimation
Author :
Kia, Shahin Hedayati ; Henao, Humberto ; Capolino, Gérard-André
Author_Institution :
Dept. of Electr. Eng., Univ. of Picardie Jules Verne, Amiens
Abstract :
The heavy duty drives need a continuous monitoring to avoid sudden loss of operation. In these systems, the mechanical anomalies like load troubles, great torque dynamic variations and torsional oscillations, result in the fatigue of the shaft driving electrical machine and other mechanical parts as bearings and gearboxes. Then, the permanent on-site mechanical performance has to be evaluated to predict the residual life time of each mechanical part on the base of combined mechanical loads affecting them. In this way, this paper proposes an electromagnetic torque estimation using non invasive measuring as a mean for mechanical monitoring of torsional stresses. Different electromagnetic torque estimations can be obtained from the induction machine mathematical representation and the simplest one in term of implementation is proposed for grid or inverter-fed machines. A test-bed based on a 5.5 kW squirrel-cage connected to a wound-rotor 4 kW induction machine via a gearbox has been used to validate the proposed method.
Keywords :
asynchronous machines; condition monitoring; electric drives; fatigue; gears; machine bearings; shafts; torque; vibration measurement; gearboxes; heavy duty drives; induction machine electromagnetic torque estimation; inverter-fed machines; machine grid; mechanical bearings; mechanical loads; shaft driving electrical machine fatigue; torsional stress monitoring; torsional vibration monitoring; Condition monitoring; Electromagnetic induction; Electromagnetic measurements; Fatigue; Induction machines; Mechanical variables measurement; Shafts; Stress measurement; Torque measurement; Vibrations; Condition monitoring; Induction machine; Mechanical stresses; Torque estimation; Torsional vibration;
Conference_Titel :
Industrial Electronics, 2008. IECON 2008. 34th Annual Conference of IEEE
Conference_Location :
Orlando, FL
Print_ISBN :
978-1-4244-1767-4
Electronic_ISBN :
1553-572X
DOI :
10.1109/IECON.2008.4758459