A computer vision-based fast approach to drilling tool condition monitoring


ATLI A. V. , Urhan O. , ERTUERK S. , SOENMEZ M.

PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART B-JOURNAL OF ENGINEERING MANUFACTURE, vol.220, pp.1409-1415, 2006 (Journal Indexed in SCI) identifier identifier

  • Publication Type: Article / Article
  • Volume: 220 Issue: 9
  • Publication Date: 2006
  • Doi Number: 10.1243/09544054jem412
  • Title of Journal : PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART B-JOURNAL OF ENGINEERING MANUFACTURE
  • Page Numbers: pp.1409-1415

Abstract

A computer vision-based approach to drilling tool condition monitoring is proposed in this paper. Firstly, image frames are captured using a high-speed CCD camera. Then, a Canny edge detector is employed to extract tool features from the acquired images. In order to obtain a measure of tool wear, the deviation from linearity (DEFROL) metric is proposed. Experimental results show that the proposed method detects the condition of all tested tools successfully.