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A Study on Automatic wear Debris Recognition by using Particle Feature Extraction

입자 유형별 형상추출에 의한 마모입자 자동인식에 관한 연구

  • ;
  • ;
  • ;
  • A. Y. Grigoriev (Metal-Polymer Research Institute, Belarus)
  • 장래혁 (한국과학기술연구원 트라이볼로지연구센터) ;
  • 윤의성 (한국과학기술연구원 트라이볼로지연구센터) ;
  • 공호성 (한국과학기술연구원 트라이볼로지연구센터) ;
  • Published : 1999.06.01

Abstract

Wear debris morphology is closely related to the wear mode and mechanism occured. Image recognition of wear debris is, therefore, a powerful tool in wear monitoring. But it has usually required expert's experience and the results could be too subjective. Development of automatic tools for wear debris recognition is needed to solve this problem. In this work, an algorithm for automatic wear debris recognition was suggested and implemented by PC base software. The presented method defined a characteristic 3-dimensional feature space where typical types of wear debris were separately located by the knowledge-based system and compared the similarity of object wear debris concerned. The 3-dimensional feature space was obtained from multiple feature vectors by using a multi-dimensional scaling technique. The results showed that the presented automatic wear debris recognition was satisfactory in many cases application.

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