Self organizing analysis platform for wear particle

Research output: Chapter in Book/Report/Conference proceedingConference contribution

4 Citations (Scopus)

Abstract

Integration of system process information obtained through an image processing system with an evolving knowledge database to improve the accuracy and predictability of wear particle analysis is the main focus of the paper. The objective is to automate intelligently the analysis process of wear particle using classification via self organizing maps. This is achieved using relationship measurements among corresponding attributes of various measurements for wear particle. Finally, visualization technique is proposed that helps the viewer in understanding and utilizing these relationships that enable accurate diagnostics. COPYRIGHT

Original languageEnglish
Title of host publicationProceedings - Wec 05
Subtitle of host publicationFourth World Enformatika Conference
EditorsC. Ardil
Pages122-125
Number of pages4
Publication statusPublished - Dec 1 2005
EventWec 05: Fourth World Enformatika Conference - Istanbul, Turkey
Duration: Jun 24 2005Jun 26 2005

Publication series

NameProceedings - Wec 05: Fourth World Enformatika Conference
Volume6

Other

OtherWec 05: Fourth World Enformatika Conference
Country/TerritoryTurkey
CityIstanbul
Period6/24/056/26/05

Keywords

  • Neural Network
  • Relationship Measurement
  • Self organizing Clusters
  • Wear Particle Analysis

ASJC Scopus subject areas

  • Engineering(all)

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