Vibration analysis of rolling element bearings with various defects under the action of an unbalanced force


MECHANICAL SYSTEMS AND SIGNAL PROCESSING, vol.20, no.8, pp.1967-1991, 2006 (SCI-Expanded) identifier identifier

  • Publication Type: Article / Article
  • Volume: 20 Issue: 8
  • Publication Date: 2006
  • Doi Number: 10.1016/j.ymssp.2005.05.001
  • Journal Indexes: Science Citation Index Expanded (SCI-EXPANDED), Scopus
  • Page Numbers: pp.1967-1991
  • Keywords: rolling element bearings, unbalanced force, localised defects, finite element vibration analysis, STATISTICAL MOMENTS, FAULT-DIAGNOSIS, SIGNALS, MODEL, SPEED
  • Dokuz Eylül University Affiliated: Yes


In this paper, a method based on the finite element vibration analysis is presented for defect detection in rolling element bearings with single or multiple defects on different components of the bearing structure using the time and frequency domain parameters. A dynamic loading model is proposed in order to create the nodal excitation functions used in the finite element vibration analysis as external loading. A computer code written in Visual Basic programming language with a graphical user interface is developed to create the nodal excitations for different cases including the outer ring, inner ring or rolling element defects. Forced vibration analysis of a bearing structure is performed using the commercial finite element package IDEAS under the action of an unbalanced force transferred to the structure via a ball bearing. Time and frequency domain parameters such as rms, crest factor, kurtosis and band energy ratio for the frequency spectrum of the enveloped signals are used to analyse the effect of the defect location and the number of defects on the time and frequency domain parameters. The role of the receiving point for vibration measurements is also investigated. The vibration data for various defect cases including the housing structure effect can be obtained using the finite element vibration analysis in order to develop an optimum monitoring method in condition monitoring studies. (c) 2005 Elsevier Ltd. All rights reserved.