DocumentCode :
2627987
Title :
A Fault diagnosis scheme for three phase induction motors based on uncertainty bounds
Author :
Mustafa, Mohammed Obaid ; Nikolakopoulos, George ; Gustafsson, Thomas
Author_Institution :
Dept. of Comput. Sci., Electr. & Space Eng., Lulea Univ. of Technol., Lulea, Sweden
fYear :
2012
fDate :
25-28 Oct. 2012
Firstpage :
1606
Lastpage :
1611
Abstract :
The aim of this article is to present a fault diagnosis scheme for the case of squirrel-cage Three Phase Induction Motors based on uncertainty bounds violation conditions. The suggested scheme has the capability to diagnose two types of faults: a) broken rotor bar and b) short circuit in stator winding. The fault diagnosis is being performed through a two steps procedure. In the first step the parameters of the healthy induction motor are being identified by utilizing a Set Membership Identification approach, where corresponding uncertainty bounds are also being provided. In the second step, specific proposed bound violation conditions for the fault detection and fault diagnosis are being on-line evaluated during a sliding time window. Multiple simulation results are being presented that prove the efficacy of the proposed scheme towards fault detection and fault diagnosis.
Keywords :
fault diagnosis; rotors; short-circuit currents; squirrel cage motors; stators; broken rotor bar; fault detection; fault diagnosis scheme; set membership identification; short circuit; sliding time window; squirrel-cage motors; stator winding; three phase induction motors; uncertainty bounds; Artificial intelligence; Bismuth; Fault diagnosis; Niobium;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
IECON 2012 - 38th Annual Conference on IEEE Industrial Electronics Society
Conference_Location :
Montreal, QC
ISSN :
1553-572X
Print_ISBN :
978-1-4673-2419-9
Electronic_ISBN :
1553-572X
Type :
conf
DOI :
10.1109/IECON.2012.6388528
Filename :
6388528
Link To Document :
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