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Fault Analysis of a Bearing

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Submitted By arc211992
Words 1834
Pages 8
ISSN: 2348 9510
International Journal Of Core Engineering & Management (IJCEM)
Volume 1, Issue 9, December 2014

Fault Analysis of a Bearing
Archit Upadhyay
Bachelor of Engineering- Mechanical Engineering
Acropolis Institute of Technology & Research, Indore, (M.P), India
Contact Number: +91-9993099957
E-maid ID: architupadhyay2192@gmail.com

Abstract
The performance of a bearing which is dynamic in nature is very crucial to the working of a machine. The presence of defects in a bearing results in reduced efficiency or in some cases severe damage to the machine which is under consideration. Rolling element bearing is an indispensable part of any machine which finds widespread domestic and industrial applications. Different methods are used for detection and diagnosis of the bearing defects. This research is intended as a tutorial overview of bearing fault detection using vibration analysis.
The advent of the microprocessor has enormously advanced the process of vibration data acquisition and analysis in recent years. Measurement that took hours only two decades ago can now be completed in minutes and better decisions made because of better data acquisition and presentation. However, the basic process of measurement and analysis have remained essentially unchanged, just like the machines from which vibrations is measured. The results of the measurement and data analysis need to be compared with known standards or guidelines and decisions made as to whether the machine is acceptable for service or maintenance should be planned. Increasingly these processes are being handled electronically but we are still a long way from replacing the fundamental knowledge and experience of the vibration analyst.
Vibration is not the only factor instrumental in fault detection. Noise and temperature can also play key role when it comes to fault detection in bearing. There are certain

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