DocumentCode
2447750
Title
Techniques to estimate the instantaneous frequency with an aim of diagnosis induction machines faults
Author
Ibrahim, Ali ; Guillet, François ; El Badaoui, Mohamed ; Bonnardot, Frédéric
Author_Institution
Lab. d´´Analyse des Signaux et des Processus Industriels, Jean Monnet Univ., Roanne
fYear
2008
fDate
10-13 Nov. 2008
Firstpage
391
Lastpage
396
Abstract
In this work we present a new techniques to detect a mechanical faults in asynchronous machines by exploiting the instantaneous frequencies estimated starting from an accelerometer sensor, optical encoder and stator current. Bearing damages cause a torque oscillations as well as a disturbance in the velocity signal which can be detected by a mechanical measurements. These fluctuations will be reflected on the stator currents and cause a phase modulation. Where, the idea to exploit the instantaneous frequency in order to find informations related to the defect. An experimental data were used to verify the validity of the different techniques. Data were collected through an accelerometer sensor to measure the mechanical vibrations, an optical encoder fixed on rotor shaft and by electrical measurements. The results, in presence of natural raceway bearing fault, illustrate the very good performance of the proposed methods.
Keywords
accelerometers; asynchronous machines; fault diagnosis; gears; machine bearings; stators; torque; accelerometer sensor; asynchronous machines; bearing damages; electrical measurements; induction machines faults; instantaneous frequency; mechanical faults; mechanical measurements; mechanical vibration; optical encoder; rotor shaft; stator current; torque oscillations; Accelerometers; Fault diagnosis; Frequency estimation; Induction machines; Mechanical sensors; Mechanical variables measurement; Optical modulation; Optical sensors; Stators; Vibration measurement; Diagnosis; Frequency estimation; Gears; Induction machine; Spectral analysis;
fLanguage
English
Publisher
ieee
Conference_Titel
Industrial Electronics, 2008. IECON 2008. 34th Annual Conference of IEEE
Conference_Location
Orlando, FL
ISSN
1553-572X
Print_ISBN
978-1-4244-1767-4
Electronic_ISBN
1553-572X
Type
conf
DOI
10.1109/IECON.2008.4757985
Filename
4757985
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