Please use this identifier to cite or link to this item: https://hdl.handle.net/2440/128720
Type: Conference paper
Title: Modelling and defect size estimation of a defective bearing
Author: Larizza, F.
Howard, C.
Grainger, S.
Wang, W.
Citation: Proceedings of the Annual Conference of the Australian Acoustical Society (AAS2018): Acoustics 2018: Hear to Listen, 2018, pp.463-471
Publisher: Australian Acoustical Society
Issue Date: 2018
ISBN: 151087738X
9781510877382
Conference Name: Annual Conference of the Australian Acoustical Society (AAS): Acoustics 2018: Hear to Listen (6 Nov 2018 - 9 Nov 2018 : Adelaide, South Australia)
Statement of
Responsibility: 
Francesco Larizza, Carl Q. Howard, Steven Grainger and Wenyi Wang
Abstract: Rolling element bearings eventually become worn and fail by developing surface defects, such as spalls, dents, and pits. Previous researchers have tested bearings with defects that have sharp 90° rectangular edges that were used to develop analytical models of a defective bearing and defect size estimation methods. These models have limitations that require smooth surfaces and constant curvature of the bearing components; as well as assuming the defect profile. An analytical model has been developed for a rolling element bearing that uses a measured defect profile and removes the limitations of previous analytical models that use analytical expressions for contact area and force. The predicted vibration response of a bearing with a defect on the outer raceway was compared with experimental results. It was found that the new analytical model was able to predict the vibration response of a defective bearing. Current defect size estimation methods that use time-series data to estimate the size; these methods do have an aliasing issue when the defect is larger than the separation angle of the rolling elements. In this paper a method for determining if the length of a spall defect is greater than the separation angle of the rolling elements using the varying stiffness of the bearing assembly is presented. The developed model and experimental data have been made publicly available.
Rights: Copyright© (2018) by Australian Acoustical Society. All rights reserved. Permission is granted for any person to reproduce a part of any abstract provided that the permission is obtained from the author(s) and credit is given to the author(s) and these conference proceedings.
Published version: https://acoustics.asn.au/conference_proceedings/AAS2018/abstracts/themes-papers.htm#p43
Appears in Collections:Aurora harvest 4
Mechanical Engineering conference papers

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