Wear particle shape and edge detail analysis

M. S. Laghari, F. Ahmed, J. Aziz

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

10 Citations (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 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 publication2010 The 2nd International Conference on Computer and Automation Engineering, ICCAE 2010
Pages122-125
Number of pages4
DOIs
Publication statusPublished - May 28 2010
Event2nd International Conference on Computer and Automation Engineering, ICCAE 2010 - Singapore, Singapore
Duration: Feb 26 2010Feb 28 2010

Publication series

Name2010 The 2nd International Conference on Computer and Automation Engineering, ICCAE 2010
Volume1

Other

Other2nd International Conference on Computer and Automation Engineering, ICCAE 2010
Country/TerritorySingapore
CitySingapore
Period2/26/102/28/10

Keywords

  • Automation
  • Image analysis
  • Intelligent systems
  • Wear particle

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Computer Science Applications
  • Control and Systems Engineering

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