Title :
Wear Particle Profile Analysis
Author :
Laghari, M.S. ; Ahmed, Faheem
Author_Institution :
Dept. of Electr. Eng., UAE Univ., Al-Ain, United Arab Emirates
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. The paper describes the analysis of microscopic wear particles 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 WPIAS is devised which is used to process and store the quantitative information of particle profile (size, quantity, shape and edge details) analysis. Further analysis on the stored data is also described which permits systematic morphological analysis of the wear particles.
Keywords :
computer vision; condition monitoring; failure (mechanical); inspection; machinery; mechanical engineering computing; micromechanics; wear; computer vision; image processing; interactive image system; machinery; microscopic size wear debris; oil-lubricated systems; visual inspection systems; wear failure; wear particle profile analysis; Computer vision; Computerized monitoring; Condition monitoring; Data mining; Image analysis; Image edge detection; Image processing; Machinery; Microscopy; Safety; Image analysis; Tribology; automation; computer vision; wear particles;
Conference_Titel :
2009 International Conference on Signal Processing Systems
Conference_Location :
Singapore
Print_ISBN :
978-0-7695-3654-5
DOI :
10.1109/ICSPS.2009.152
