A study of diagnostic signatures of a deep groove ball bearing based on a nonlinear dynamic model

Ibrahim Rehab, Xiange Tian, Fengshou Gu, Andrew D. Ball

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Citations (Scopus)

Abstract

For accurate fault detection and diagnosis, this paper focuses on the study of bearing vibration responses under increasing radial clearances due to investable wear and different bearing grades. A nonlinear dynamic model incorporating with local defects and clearance increments is developed for a deep groove ball bearing. The model treats the inner race-shaft and outer race-housing as two lumped masses which are coupled by a nonlinear spring formalized by the Hertzian contact deformation between the balls and races. The solution of the nonlinear equation is obtained by a Runge-Kutta method in Matlab. The results show that the vibrations at fault characteristic frequencies exhibit significant changes with increasing clearances. However, an increased vibration is found for the outer race fault whereas a decreased vibration is found for inner race fault. Therefore, it is necessary to take into account these changes in determining the size of faults.

Original languageEnglish
Title of host publication2015 21st International Conference on Automation and Computing
Subtitle of host publicationAutomation, Computing and Manufacturing for New Economic Growth, ICAC 2015
Place of PublicationNew York
PublisherInstitute of Electrical and Electronics Engineers Inc.
Number of pages7
ISBN (Electronic)9780992680107
DOIs
Publication statusPublished - 2015
Event21st International Conference on Automation and Computing: Automation, Computing and Manufacturing for New Economic Growth - University of Strathclyde, Glasgow, United Kingdom
Duration: 11 Sep 201512 Sep 2015
Conference number: 21
https://ieeexplore.ieee.org/xpl/mostRecentIssue.jsp?punumber=7301994 (Link to Conference Proceedings)

Conference

Conference21st International Conference on Automation and Computing
Abbreviated titleICAC
CountryUnited Kingdom
CityGlasgow
Period11/09/1512/09/15
Internet address

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Rehab, I., Tian, X., Gu, F., & Ball, A. D. (2015). A study of diagnostic signatures of a deep groove ball bearing based on a nonlinear dynamic model. In 2015 21st International Conference on Automation and Computing: Automation, Computing and Manufacturing for New Economic Growth, ICAC 2015 New York: Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/IConAC.2015.7313944