Full Content is available to subscribers

Subscribe/Learn More  >

Sensor Based Failure Analysis of Rolling Element Bearings

[+] Author Affiliations
Swaminadham Midturi

University of Arkansas at Little Rock

Paper No. IMECE2005-81129, pp. 445-450; 6 pages
  • ASME 2005 International Mechanical Engineering Congress and Exposition
  • Innovations in Engineering Education: Mechanical Engineering Education, Mechanical Engineering/Mechanical Engineering Technology Department Heads
  • Orlando, Florida, USA, November 5 – 11, 2005
  • Conference Sponsors: Mechanical Engineering Education
  • ISBN: 0-7918-4232-0 | eISBN: 0-7918-3769-6
  • Copyright © 2005 by ASME


Failure-free operation of rolling element bearings is essential for the safe and reliable operation of rotating industrial equipment, especially of the type high-energy aircraft engines. However, improper installation and maintenance, large variations in applied loads, and cycle time initiate functional defects to reduce the service life of bearing elements severely. In-service condition monitoring of bearings by permanently mounted sensors offers excellent potential to reduce the risk of failures and avoid premature failure of bearings and the rotor system. This paper presents the results from a study on experimental investigation of bearing defect identification by sensor-based condition monitoring methods. Vibration spectra from a direct mount accelerometer are analyzed to interpret and classify bearing defects. Sensor locations on the bearing are selected for enhanced sensitivity and minimum loss in the signal transmission path. Signal processing methods such as Fast Fourier Transform and statistical Kurtosis and skewness parameters are applied to characterize the dynamic spectra due to bearing defects in outer race, inner race, and cage elements of a test bearing. Unlike the previous research, this study analyzes the dynamic spectra of a test bearing to identify the spectral differences due to varying loads. The results are presented in simple and easy to understand format for the maintenance and engineering staff to affect repairs to bearing assemblies.

Copyright © 2005 by ASME



Interactive Graphics


Country-Specific Mortality and Growth Failure in Infancy and Yound Children and Association With Material Stature

Use interactive graphics and maps to view and sort country-specific infant and early dhildhood mortality and growth failure data and their association with maternal

Citing articles are presented as examples only. In non-demo SCM6 implementation, integration with CrossRef’s "Cited By" API will populate this tab (http://www.crossref.org/citedby.html).

Some tools below are only available to our subscribers or users with an online account.

Related Content

Customize your page view by dragging and repositioning the boxes below.

Related eBook Content
Topic Collections

Sorry! You do not have access to this content. For assistance or to subscribe, please contact us:

  • TELEPHONE: 1-800-843-2763 (Toll-free in the USA)
  • EMAIL: asmedigitalcollection@asme.org
Sign In