Diagnosing the change in the internal clearances of rolling element bearings based on vibration signatures

Khalid Rabeyee, Xiaoli Tang, Yuandong Xu, Dong Zhen, Fengshou Gu, Andrew D. Ball

Research output: Chapter in Book/Published conference outputConference publication

Abstract

Several mechanisms of wear can occur in rolling element bearings (REBs). As the wear evolves, the vibration level will increase with the growth of internal clearance of bearings due to the variation of contact force and dynamic excitation. Therefore, for accurate fault severity diagnosis, internal clearance increase caused by inevitable wear has to be taken into account. In this paper, clearance variation caused by the wear of tapered rolling bearings (TRBs) is investigated experimentally and clearance estimation is carried out based on analysis of low frequency vibrations and the deviation of the fault features. An experimental study is ingeniously designed to simulate the wear evolutions and evaluate their influence on well-accepted envelope signatures according to vibrations measured from TRBs. The defective bearings were diagnosed in two aspects: the magnitude variation of vibrations in the low frequency band and the peak frequency deviation. The experimental results give out a signature shift with regard to the wear evolution, also vibration magnitude of the low frequency band grew remarkably. Therefore, unavoidable wear can be estimated and consequently the fault severity diagnosis improved.

Original languageEnglish
Title of host publicationICAC 2018 - 2018 24th IEEE International Conference on Automation and Computing
Subtitle of host publicationImproving Productivity through Automation and Computing
EditorsXiandong Ma
PublisherIEEE
ISBN (Electronic)9781862203426, 978-1-86220-341-9
ISBN (Print)978-1-5386-4891-9
DOIs
Publication statusPublished - 1 Jul 2019
Event24th IEEE International Conference on Automation and Computing, ICAC 2018 - Newcastle upon Tyne, United Kingdom
Duration: 6 Sep 20187 Sep 2018

Publication series

NameICAC 2018 - 2018 24th IEEE International Conference on Automation and Computing: Improving Productivity through Automation and Computing

Conference

Conference24th IEEE International Conference on Automation and Computing, ICAC 2018
CountryUnited Kingdom
CityNewcastle upon Tyne
Period6/09/187/09/18

Bibliographical note

Funding: This research was financially supported by the National Natural Science Foundation of China (Grant no. 51605133; 51705127), Hebei Provincial International Science and Technology Cooperation Program of China (Grant no. 17394303D).

Keywords

  • Fault severity diagnosis
  • Low frequency vibrations
  • Tapered roller bearings
  • Wear evolution

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