Publication Details

Analysis Wear Debris Through Classification

JURÁNEK Roman, MACHALÍK Stanislav and ZEMČÍK Pavel. Analysis Wear Debris Through Classification. In: Proceedings of Advanced Concepts of Inteligent Vision Systems (ACIVS 2011). Lecture Notes in Computer Science, vol. 6915. Heidelberg: Springer Verlag, 2011, pp. 273-283. ISBN 978-3-642-23686-0.
Czech title
Analýza částic opotřebení pomocí klasifikace
Type
conference paper
Language
english
Authors
Keywords

Wear, Wear Debris, Classification, AdaBoost, CS-LBP, LBP

Abstract

This paper introduces a novel method of wear debris analysis through classification of the particles based on machine learning. Wear debris consists of particles of metal found in e.g. lubricant oils used in engineering equipment.  Analytical ferrography is one of methods for wear debris analysis and it is very important for early detection or even prevention of failures in engineering equipment, such as combustion engines, gearboxes, etc.  The proposed novel method relies on classification of wear debris particles into several classes defined by the origin of such particles. Unlike the earlier methods, the proposed classification approach is based on visual similarity of the particles and supervised machine learning. The paper describes the method itself, demonstrates its experimental results, and draws conclusions.

Published
2011
Pages
273-283
Proceedings
Proceedings of Advanced Concepts of Inteligent Vision Systems (ACIVS 2011)
Series
Lecture Notes in Computer Science
Volume
6915
Conference
Advanced Concepts for Intelligent Vision Systems 2011, Het Pand, Ghent, Belgium, BE
ISBN
978-3-642-23686-0
Publisher
Springer Verlag
Place
Heidelberg, DE
BibTeX
@INPROCEEDINGS{FITPUB9638,
   author = "Roman Jur\'{a}nek and Stanislav Machal\'{i}k and Pavel Zem\v{c}\'{i}k",
   title = "Analysis Wear Debris Through Classification",
   pages = "273--283",
   booktitle = "Proceedings of Advanced Concepts of Inteligent Vision Systems (ACIVS 2011)",
   series = "Lecture Notes in Computer Science",
   volume = 6915,
   year = 2011,
   location = "Heidelberg, DE",
   publisher = "Springer Verlag",
   ISBN = "978-3-642-23686-0",
   language = "english",
   url = "https://www.fit.vut.cz/research/publication/9638"
}
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