Conference paper

JURÁNEK Roman, MACHALÍK Stanislav and ZEMČÍK Pavel. Analysis Wear Debris Through Classification. In: Proceedings of Advanced Concepts of Inteligent Vision Systems (ACIVS 2011). Heidelberg: Springer Verlag, 2011, pp. 273-283. ISBN 978-3-642-23686-0.
Publication language:english
Original title:Analysis Wear Debris Through Classification
Title (cs):Analýza částic opotřebení pomocí klasifikace
Pages:273-283
Proceedings:Proceedings of Advanced Concepts of Inteligent Vision Systems (ACIVS 2011)
Conference:Advanced Concepts for Intelligent Vision Systems 2011
Series:LNCS 6915
Place:Heidelberg, DE
Year:2011
ISBN:978-3-642-23686-0
Publisher:Springer Verlag
Keywords
Wear, Wear Debris, Classification, AdaBoost, CS-LBP, LBP
Annotation
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.
BibTeX:
@INPROCEEDINGS{
   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 = {LNCS 6915},
   year = {2011},
   location = {Heidelberg, DE},
   publisher = {Springer Verlag},
   ISBN = {978-3-642-23686-0},
   language = {english},
   url = {http://www.fit.vutbr.cz/research/view_pub.php.en.iso-8859-2?id=9638}
}

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