Computer vision techniques for wear debris analysis (CVTWDA)

G. A. Khuwaja, M. S. Laghari

Research output: Contribution to journalArticlepeer-review

15 Citations (Scopus)


Computer vision is a process to locate and recognize objects in digital images. The terms 'wear particle' or 'wear debris' come from the field of 'Tribology'. Tribology is the study of wear, friction and lubrication. Wear particles are produced in all machines containing moving parts in contact. This paper addresses the analysis of microscopic wear particles generated by wear mechanisms by using computer vision and image processing techniques. The aim is to develop an automated system to classify and identify wear particles in terms of their morphological and textural features and by using the information obtained to predict wear failure modes in engines and other machinery. An interactive control system CAVE is devised to process and store the quantitative information of particle size, shape and edge details. The identification and analysis of wear particles are effectively demonstrated by the devised system with the ability to make human-like, even better and objective diagnosis. This obviates the need for specialists and reliance on human visual inspection techniques.

Original languageEnglish
Pages (from-to)70-78
Number of pages9
JournalInternational Journal of Computer Applications in Technology
Issue number1-3
Publication statusPublished - 2002
Externally publishedYes


  • Automation
  • Computer vision
  • Identification
  • Image processing
  • Tribology
  • Wear particles

ASJC Scopus subject areas

  • Software
  • Information Systems
  • Computer Science Applications
  • Computer Networks and Communications
  • Industrial and Manufacturing Engineering
  • Electrical and Electronic Engineering


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