Using neural-network test technology for signalling systems maintenance

Manufacturers and maintainers of rail signalling systems and rolling stock look for ever increasing system availability and reduced time-to-repair however, success is capped by the capability of the technical workforce and the suitability of the test equipment used. This paper examines electronic system failure modes and the application of Neural Network based test equipment to highly successful case studies, evaluates ongoing developments to expand its use and identifies the potential of the corresponding benefits.

Media Info

  • Pagination: 8p. ; PDF
  • Monograph Title: AusRAIL PLUS 2015, doing it smarter. People, power, performance, 24-26 November 2015, Melbourne, Victoria, Australia

Subject/Index Terms

Filing Info

  • Accession Number: 01601972
  • Record Type: Publication
  • Source Agency: ARRB
  • Files: ATRI
  • Created Date: Jun 17 2016 9:47AM