Automation in the field of wear particles

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

1 Citation (Scopus)

Abstract

Microscopic size wear debris transported through oil-lubricated systems provides important information about the condition of machinery, in particular the state of wear. Experts extract this information to monitor the operation of the machine to ensure safety, efficiency and economy of operation. This paper describes the analysis of microscopic particles generated by wear mechanisms by using computer vision and image processing techniques. The aim of the work is to develop an automated system to classify wear particles and thereby predict wear failure modes in machines. An interactive image analysis system WPIAS is devised, which is used to process and store the quantitative information of particle shape and edge details. Further analysis on the stored data is also described which permits systematic morphological analysis of the wear particles.

Original languageEnglish
Title of host publication5th International Conference on Information Technology and Applications, ICITA 2008
Pages130-133
Number of pages4
Publication statusPublished - 2008
Event5th International Conference on Information Technology and Applications, ICITA 2008 - Cairns, QLD, Australia
Duration: Jun 23 2008Jun 26 2008

Publication series

Name5th International Conference on Information Technology and Applications, ICITA 2008

Other

Other5th International Conference on Information Technology and Applications, ICITA 2008
Country/TerritoryAustralia
CityCairns, QLD
Period6/23/086/26/08

Keywords

  • Automation
  • Image analysis
  • Tribology
  • Wear particles

ASJC Scopus subject areas

  • Artificial Intelligence
  • Computer Science Applications
  • Information Systems
  • Software

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