Computer vision in the field of wear particles

Mohammad Shakeel Laghari; Faheem Ahmed

doi:10.1109/ICCEE.2009.182

Computer vision in the field of wear particles

Mohammad Shakeel Laghari, Faheem Ahmed

Department of Electrical and Communication Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference 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 language	English
Title of host publication	2009 International Conference on Computer and Electrical Engineering, ICCEE 2009
Pages	126-129
Number of pages	4
DOIs	https://doi.org/10.1109/ICCEE.2009.182
Publication status	Published - Dec 1 2009
Event	2009 International Conference on Computer and Electrical Engineering, ICCEE 2009 - Dubai, United Arab Emirates Duration: Dec 28 2009 → Dec 30 2009

Publication series

Name	2009 International Conference on Computer and Electrical Engineering, ICCEE 2009
Volume	1

Other

Other	2009 International Conference on Computer and Electrical Engineering, ICCEE 2009
Country/Territory	United Arab Emirates
City	Dubai
Period	12/28/09 → 12/30/09

Keywords

Automation
Computer vision
Image analysis
Wear particles

ASJC Scopus subject areas

Computer Science(all)
Electrical and Electronic Engineering

Access to Document

10.1109/ICCEE.2009.182

Cite this

Computer vision in the field of wear particles. / Laghari, Mohammad Shakeel; Ahmed, Faheem.
2009 International Conference on Computer and Electrical Engineering, ICCEE 2009. 2009. p. 126-129 5380653 (2009 International Conference on Computer and Electrical Engineering, ICCEE 2009; Vol. 1).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Laghari, MS & Ahmed, F 2009, Computer vision in the field of wear particles. in 2009 International Conference on Computer and Electrical Engineering, ICCEE 2009., 5380653, 2009 International Conference on Computer and Electrical Engineering, ICCEE 2009, vol. 1, pp. 126-129, 2009 International Conference on Computer and Electrical Engineering, ICCEE 2009, Dubai, United Arab Emirates, 12/28/09. https://doi.org/10.1109/ICCEE.2009.182

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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.",

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Computer vision in the field of wear particles

Abstract

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Keywords

ASJC Scopus subject areas

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