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Analysis of Wear Debris Through Classification

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216275%3A25510%2F11%3A39883455" target="_blank" >RIV/00216275:25510/11:39883455 - isvavai.cz</a>

  • Result on the web

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    Analysis of Wear Debris Through Classification

  • Original language description

    This paper introduces a novel method of wear debris analysis through classi cation 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 classi cation of wear debris particles into several classes de ned by the origin of such particles. Unlike the earlier methods, the proposed classi cation 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.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

    IN - Informatics

  • OECD FORD branch

Result continuities

  • Project

  • Continuities

    Z - Vyzkumny zamer (s odkazem do CEZ)

Others

  • Publication year

    2011

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Article name in the collection

    Proceedings of Advanced Concepts of Inteligent Vision Systems (ACIVS 2011)

  • ISBN

    978-3-642-23686-0

  • ISSN

  • e-ISSN

  • Number of pages

    10

  • Pages from-to

    273-283

  • Publisher name

    Springer

  • Place of publication

    Berlin

  • Event location

    Gent

  • Event date

    Aug 22, 2011

  • Type of event by nationality

    EUR - Evropská akce

  • UT code for WoS article