Computer vision in the field of wear particles

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

1 Citation (Scopus)

Abstract

This paper presents a system to monitor the wear process in machines using computer vision and image processing techniques applied to wear particle analysis. Particles are classified using their visual attributes to predict wear failure modes in engines and other machinery. The aim of the current work is to develop an automated system to classify wear particles and thereby predict wear failure modes in engines and other machinery, such that it obviates the need for specialists and reliance on human visual inspection techniques. The paper describes an interactive control system CAVE (Computer Aided Vision Engineering) in terms of the stages involved in processing data to acquire morphological features of wear particles from microscopic images and their automatic classification.

Original languageEnglish
Title of host publication2009 International Conference on Computer and Electrical Engineering, ICCEE 2009
Pages126-129
Number of pages4
DOIs
Publication statusPublished - Dec 1 2009
Event2009 International Conference on Computer and Electrical Engineering, ICCEE 2009 - Dubai, United Arab Emirates
Duration: Dec 28 2009Dec 30 2009

Publication series

Name2009 International Conference on Computer and Electrical Engineering, ICCEE 2009
Volume1

Other

Other2009 International Conference on Computer and Electrical Engineering, ICCEE 2009
Country/TerritoryUnited Arab Emirates
CityDubai
Period12/28/0912/30/09

Keywords

  • Automation
  • Computer vision
  • Image analysis
  • Wear particles

ASJC Scopus subject areas

  • Computer Science(all)
  • Electrical and Electronic Engineering

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