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
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;
Conference_Titel :
Electrotechnical Conference (MELECON), 2012 16th IEEE Mediterranean
Conference_Location :
Yasmine Hammamet
Print_ISBN :
978-1-4673-0782-6
DOI :
10.1109/MELCON.2012.6196555