@inproceedings{6e361d6b6a5546549b81cb5439ce684c,
title = "Wear particle shape and edge detail analysis",
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.",
keywords = "Automation, Image analysis, Intelligent systems, Wear particle",
author = "Laghari, {M. S.} and F. Ahmed and J. Aziz",
year = "2010",
doi = "10.1109/ICCAE.2010.5451985",
language = "English",
isbn = "9781424455850",
series = "2010 The 2nd International Conference on Computer and Automation Engineering, ICCAE 2010",
pages = "122--125",
booktitle = "2010 The 2nd International Conference on Computer and Automation Engineering, ICCAE 2010",
note = "2nd International Conference on Computer and Automation Engineering, ICCAE 2010 ; Conference date: 26-02-2010 Through 28-02-2010",
}