| |
Detection of induction motors broken bars by electromagnetic torque estimation using kalman filtering
| [View]
[Download]
|
| Author(s) |
M. Eltabach; A. Charara; I. Zein |
| Abstract |
This work addresses the problem of failure prediction in line-operated three-phase induction machine
using electromagnetic signals spectral analysis. We study the detection of rotor imperfection by
spectral analysis of the electromagnetic torque computed by two rotor flux estimators. In the first
approach, the Kalman filter is used assuming that the mechanical velocity is known. The second
approach uses Extended Kalman Filter (EKF) for speed estimation. Simulation and experimental
results show the robustness of the EKF and the great capability of these two methods to detect this
type of faults. |
| Download |
| Filename: | EPE-PEMC2002 - SSHR-04 - Eltabach.pdf |
| Filesize: | 182.1 KB |
|
| Type |
Members Only |
| Date |
Last modified 2004-05-12 by System |
| |
 |