DocumentCode
2726933
Title
Experimental compensation of the negative sequence current for accurate stator fault detection in induction motors
Author
Bouzid, Merouane ; Champenois, Gerard
Author_Institution
ENIT, LSE, Univ. of Tunis El-Manar, Tunis, Tunisia
fYear
2013
fDate
10-13 Nov. 2013
Firstpage
2804
Lastpage
2809
Abstract
The negative sequence current can offer an efficient and fast monitoring technique to detect incipient stator fault in induction machines. However, unbalanced supply voltage, inherent machine asymmetry and non ideal sensors can also contribute to the generation of this negative sequence current. Thus, it is rather difficult to extract the negative sequence current caused only by the fault. To improve the accuracy of fault detection, this paper proposes an efficient method based on the use of experimental techniques to identify and separate the negative sequence current due to the inherent asymmetry in the machine and the non-calibration of the sensors in order to extract the negative sequence current caused only by the fault. The efficiency of the proposed method is demonstrated by the use of experimental data´s coming from 1.1 kW motor supplied by a balanced voltage.
Keywords
compensation; fault diagnosis; induction motors; stators; accurate stator fault detection; experimental compensation; incipient stator fault detection; induction machines; induction motors; inherent machine asymmetry; negative sequence current generation; nonideal sensors; power 1.1 kW; unbalanced supply voltage; Circuit faults; Current measurement; Fault detection; Induction motors; Sensors; Stator windings; Voltage measurement; Fault detection; induction motor; inherent asymmetry; inter-turns short circuit fault; negative sequence current; phase to phase fault; positive sequence current, sensor non-calibration;
fLanguage
English
Publisher
ieee
Conference_Titel
Industrial Electronics Society, IECON 2013 - 39th Annual Conference of the IEEE
Conference_Location
Vienna
ISSN
1553-572X
Type
conf
DOI
10.1109/IECON.2013.6699575
Filename
6699575
Link To Document