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
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