Application of MEMS Accelerometer for Detection and Diagnosis of Multiple Faults in the Roller Element Bearings of Three Phase Induction Motor

This paper presents a simple, non-electrical contact approach to detect and analyze multiple faults in the roller element bearings of three phase induction motor by vibration analysis using microelectromechanical systems (MEMS) accelerometer. The ability of the proposed method has been investigated...

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Bibliographic Details
Published in:IEEE sensors journal Vol. 16; no. 1; pp. 145 - 152
Main Authors: Maruthi, G. S., Hegde, Vishwanath
Format: Journal Article
Language:English
Published: New York IEEE 01.01.2016
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects:
Accelerometers
Bearings
Circuit faults
Fast Fourier Transform algorithm
Faults
Fourier transforms
Induction motors
MEMS accelerometer
Microelectromechanical systems
Micromechanical devices
Modulation
Multiple faults
Rollers
Sensors
Single phase condition
Three phase
Unbalance voltage
Vibration
Vibration analysis
Vibration signature analysis
Vibrations
Fast Fourier transform algorithm
single phase condition
unbalance voltage
MEMS accelerometer
multiple faults
vibration signature analysis
ISSN:1530-437X, 1558-1748
Online Access:Get full text
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Summary:This paper presents a simple, non-electrical contact approach to detect and analyze multiple faults in the roller element bearings of three phase induction motor by vibration analysis using microelectromechanical systems (MEMS) accelerometer. The ability of the proposed method has been investigated experimentally under no load, single phase and unbalanced voltage conditions. The frequency analysis of motor vibration due to bearing fault has been carried out by fast Fourier transform algorithm. The appearance of fault frequencies in vibration spectrum will indicate multiple faults in the bearings and also the existence of side-band frequency components around fundamental frequency component indicates air gap modulation due to bearing fault. Experimentally obtained fault frequencies are compared with analytical values and found that both are closely matching. This indicates that the proposed method can be reliably employed to detect from simple to complex faults in the bearings of induction motor using MEMS accelerometers.
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ISSN:1530-437X
1558-1748
DOI:10.1109/JSEN.2015.2476561