About: Analysis Wear Debris Through Classification

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rdf:type	skos:Concept http://linked.opendata.cz/ontology/domain/vavai/Vysledek
Description	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. 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. (en)
Title	Analysis Wear Debris Through Classification Analysis Wear Debris Through Classification (en)
skos:prefLabel	Analysis Wear Debris Through Classification Analysis Wear Debris Through Classification (en)
skos:notation	RIV/00216305:26230/11:PU96070!RIV13-MSM-26230___
http://linked.open...avai/riv/aktivita	S Z
http://linked.open...avai/riv/aktivity	S, Z(MSM0021630528)
http://linked.open...vai/riv/dodaniDat	2013
http://linked.open...aciTvurceVysledku	Machalík, Stanislav Juránek, Roman Zemčík, Pavel
http://linked.open.../riv/druhVysledku	D - Článek ve sborníku
http://linked.open...iv/duvernostUdaju	S - Úplné a pravdivé údaje nepodléhající ochraně podle zvláštních právních předpisů
http://linked.open...titaPredkladatele	Vysoké učení technické v Brně / Fakulta informačních technologií
http://linked.open...dnocenehoVysledku	185863
http://linked.open...ai/riv/idVysledku	RIV/00216305:26230/11:PU96070
http://linked.open...riv/jazykVysledku	eng - angličtina
http://linked.open.../riv/klicovaSlova	Wear, Wear Debris, Classification, AdaBoost, CS-LBP, LBP (en)
http://linked.open.../riv/klicoveSlovo	AdaBoost CS-LBP LBP Wear Debris Classification Wear
http://linked.open...ontrolniKodProRIV	[D5FD9B086567]
http://linked.open...v/mistoKonaniAkce	Het Pand, Ghent, Belgium
http://linked.open...i/riv/mistoVydani	Heidelberg
http://linked.open...i/riv/nazevZdroje	Proceedings of Advanced Concepts of Inteligent Vision Systems (ACIVS 2011)
http://linked.open...in/vavai/riv/obor	JC
http://linked.open...ichTvurcuVysledku	3 (xsd:int)
http://linked.open...cetTvurcuVysledku	3 (xsd:int)
http://linked.open...UplatneniVysledku	2011
http://linked.open...iv/tvurceVysledku	Juránek, Roman Machalík, Stanislav Zemčík, Pavel
http://linked.open...vavai/riv/typAkce	EUR - Evropská
http://linked.open.../riv/zahajeniAkce	2011-08-22 (xsd:date)
http://linked.open...n/vavai/riv/zamer	Výzkum informačních technologií z hlediska bezpečnosti
number of pages	11 (xsd:int)
http://purl.org/ne...btex#hasPublisher	Springer-Verlag
https://schema.org/isbn	978-3-642-23686-0
http://localhost/t...ganizacniJednotka	26230

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