AUTOMATED COLLECTION AND DETECTION OF RAIL SURFACE DEFECTS

Accurate and complete visual inspection of the surface of the rail head is time consuming and costly. However, records of the size, location, and type of surface flaws can be used to develop grinding strategies and complement rail profile and fatigue defect data for assessing the overall condition of the rails. This paper describes a prototype system for collecting surface defect data at high speeds and automatically processing the data to identify defective sections.

• Corporate Authors:

  International Heavy Haul Association

  19 Holloway Drive
  St Louis, MO  United States  63367-1357

  International Heavy Haul Association

  19 Holloway Drive
  St Louis, MO  United States  63367-1357
• Authors:
  • McNeil, S
  • Motazed, B
  • Alfelor, Roemer
  • Short, T
  • Eshelby, J
• Conference:
  • International Heavy Haul Railway Conference
  • Location: Vancouver, B.C., Canada
  • Date: 1991-6-10 to 1991-6-12
• Publication Date: 1991

Language

• English

Media Info

• Features: Figures; References;
• Pagination: p. 73-77

Subject/Index Terms

• TRT Terms: Data collection; Defects; Flaw detection; Inspection; Rail grinding; Railhead; Railroad rails; Vision
• Candidate Terms: Rail profiles
• Subject Areas: Maintenance and Preservation; Public Transportation; Railroads;

Filing Info

• Accession Number: 00635130
• Record Type: Publication
• Files: TRIS
• Created Date: Aug 24 1993 12:00AM