Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
705227 | Electric Power Systems Research | 2008 | 9 Pages |
Abstract
The aim of this paper is to present the performances of voltage unbalance and rotor fault detections using an external stray flux sensor in a working three-phase induction machine. The automatic classification and fault severity degree evaluation are realized by using a neural network approach based on a multi-layer perceptron (MLP) structure. In this paper, it is proved that a simple external stray flux sensor is more efficient than the classical stator current sensor to detect rotor broken bar and voltage unbalance, using data processing at low-frequency resolution.
Related Topics
Physical Sciences and Engineering
Energy
Energy Engineering and Power Technology
Authors
Khmais Bacha, Humberto Henao, Moncef Gossa, Gérard-André Capolino,