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Technology Reviews

Bearing Signature Analysis as a Medium for Fault Detection: A Review

[+] Author and Article Information
M. S. Patil

Department of Mechanical Engineering, Gogte Institute of Technology, Belgaum, Karnataka 590008, Indiamspatiḻgit@rediffmail.com

Jose Mathew

Department of Mechanical Engineering, National Institute of Technology, Calicut, Kerala-673601, Indiajosmat@nitc.ac.in

P. K. RajendraKumar

Department of Mechanical Engineering, National Institute of Technology, Calicut, Kerala 673601, Indiapkrkumar@nitc.ac.in

J. Tribol 130(1), 014001 (Dec 17, 2007) (7 pages) doi:10.1115/1.2805445 History: Received October 12, 2006; Revised June 30, 2007; Published December 17, 2007

Rolling element bearings find widespread domestic and industrial application. Defects in bearing unless detected in time may lead to malfunctioning of the machinery. Different methods are used for detection and diagnosis of the bearing defects. This paper is intended as a tutorial overview of bearing vibration signature analysis as a medium for fault detection. An explanation for the causes for the defects is discussed. Vibration measurement in both time domain and frequency domain is presented. Recent trends in research on the detection of the defects in bearings have been included.

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Copyright © 2008 by American Society of Mechanical Engineers
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References

Figures

Grahic Jump Location
Figure 1

(a) Signal from a bearing with the inner race damaged (25); (b) spectrum of the signal (25)

Grahic Jump Location
Figure 2

(a) Signal from defective bearing (25); (b) result of denoising (25)

Grahic Jump Location
Figure 3

Process of envelope detection to reveal periodic impulses (37)

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