Wear particle profile analysis

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

11 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. The paper describes the analysis of microscopic wear particles 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 profile (size, quantity, shape and edge details) analysis. Further analysis on the stored data is also described which permits systematic morphological analysis of the wear particles.

Original languageEnglish
Title of host publication2009 International Conference on Signal Processing Systems, ICSPS 2009
Pages546-550
Number of pages5
DOIs
Publication statusPublished - 2009
Event2009 International Conference on Signal Processing Systems, ICSPS 2009 - Singapore, Singapore
Duration: May 15 2009May 17 2009

Publication series

Name2009 International Conference on Signal Processing Systems, ICSPS 2009

Other

Other2009 International Conference on Signal Processing Systems, ICSPS 2009
Country/TerritorySingapore
CitySingapore
Period5/15/095/17/09

Keywords

  • Automation
  • Computer vision
  • Image analysis
  • Tribology
  • Wear particles

ASJC Scopus subject areas

  • Signal Processing

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