Authors: G.A. Khuwaja, M.S. Laghari
Addresses: Physics Department, Kuwait University, P.O. Box 5969, Safat 13060, Kuwait. Department of Electrical Engineering, United Arab Emirates University, P.O. Box 17555, Al Ain, U.A.E.
Abstract: Computer vision is a process to locate and recognise 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.
Keywords: automation; computer vision; image processing; wear particles; tribology; identification.
International Journal of Computer Applications in Technology, 2002 Vol.15 No.1/2/3, pp.70-78
Published online: 15 Jul 2003 *Full-text access for editors Access for subscribers Purchase this article Comment on this article