DocumentCode
2028947
Title
Induction motor fault diagnosis based on a Hilbert current space vector pattern analysis
Author
Ben Salem, Samira ; Bacha, Khmais ; Gossa, Moncef
Author_Institution
Unit of Res.: Control, Monitoring & Reliability of the Syst., Higher Sch. of Sci. & Technol. of Tunis, Tunis, Tunisia
fYear
2012
fDate
25-28 March 2012
Firstpage
818
Lastpage
823
Abstract
In this work we propose an original failure signature based on the current Hilbert-Park vector pattern analysis. The advantage of this approach is which does not require a long temporal recording, and their processing is simple. This analysis offers an easy interpretation to conclude on the induction motor condition and its voltage supply state. The proposed signature shows its robustness and its power especially in the case of unloaded machine. This approach was applied to a 1.1 kw induction motor under normal operation and with the following fault: voltage unbalanced, broken rotor bar, air-gap eccentricity and ball bearing defect.
Keywords
air gaps; fault diagnosis; induction motors; Hilbert current space vector pattern analysis; Hilbert-Park vector pattern analysis; air-gap eccentricity; ball bearing defect; broken rotor bar; failure signature; induction motor fault diagnosis; long temporal recording; power 1.1 kW; voltage supply state; Air gaps; Induction motors; Rotors; Stator windings; Transforms; Vectors;
fLanguage
English
Publisher
ieee
Conference_Titel
Electrotechnical Conference (MELECON), 2012 16th IEEE Mediterranean
Conference_Location
Yasmine Hammamet
ISSN
2158-8473
Print_ISBN
978-1-4673-0782-6
Type
conf
DOI
10.1109/MELCON.2012.6196555
Filename
6196555
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