DocumentCode :
2180742
Title :
A comparative study of acoustic, vibration and stator current signatures for gear tooth fault diagnosis
Author :
Kia, Shahin Hedayati ; Henao, Humberto ; Capolino, Gérard-André
Author_Institution :
Dept. of Electr. Eng., Univ. of Picardie Jules Verne, Amiens, France
fYear :
2012
fDate :
2-5 Sept. 2012
Firstpage :
1514
Lastpage :
1519
Abstract :
The condition monitoring of a gearbox is an important task due to its significance in the mechanical power transmission in industrial applications. The vibration analysis has been commonly used as an effective tool for gear fault diagnosis in several researches. Other alternatives, such as stator current analysis or acoustic pressure analysis which are known as non-invasive methods have received great attention over the years. The effect of gearbox torsional vibration in the stator current has been recently studied based on real frequency components observation in the mechanical torque. A possible monitoring of gearbox-based electromechanical system through the stator current analysis has been investigated as well. This paper aims to provide a comparative study of vibration, acoustic pressure and stator current analysis capabilities for a gear tooth wear fault diagnosis. A test-rig based on a 250W squirrel-cage induction machine shaft-connected to a single-stage gearbox has been used for this purpose.
Keywords :
asynchronous machines; condition monitoring; fault diagnosis; gears; power transmission (mechanical); shafts; squirrel cage motors; stators; acoustic current signatures; condition monitoring; electromechanical system; gear tooth fault diagnosis; gearbox torsional vibration; industrial applications; mechanical power transmission; mechanical torque; noninvasive methods; power 250 W; squirrel-cage induction machine shaft; stator current signatures; vibration analysis; vibration current signatures; Acoustics; Frequency modulation; Gears; Sensitivity; Stators; Vibrations; AC motor protection; Acoustic emission; Asynchronous rotating machines; Envelope analysis; Fault diagnosis; Gears; Induction motors; Monitoring; Signal processing; Vibration measurement;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Electrical Machines (ICEM), 2012 XXth International Conference on
Conference_Location :
Marseille
Print_ISBN :
978-1-4673-0143-5
Electronic_ISBN :
978-1-4673-0141-1
Type :
conf
DOI :
10.1109/ICElMach.2012.6350079
Filename :
6350079
Link To Document :
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