Estimation of Wear and Strain of Contact Wire Using Contact Force of Pantograph

In this paper the author examines the possibility of estimating wear and strain of contact wire by using the contact force data from a pantograph. An artificial neural network is used for its learning and estimating capabilities. Learning weight is derived by using a back propagation algorithm. Results show that contact force data is useful in estimating the wear and strain of contact wire.

• Availability:
  • Find a library where document is available. Order URL: http://worldcat.org/oclc/3127232
• Authors:
  • Usuda, Takayuki
• Publication Date: 2007-8

Language

• English

Media Info

• Media Type: Print
• Features: Figures; References;
• Pagination: pp 170-175
• Serial:
  • Railway Technical Research Institute, Quarterly Reports
  • Volume: 48
  • Issue Number: 3
  • Publisher: Railway Technical Research Institute/Tetsudo Gijutsu Kenkyujo
  • ISSN: 0033-9008
  • Serial URL: http://www.rtri.or.jp/eng/

Subject/Index Terms

• TRT Terms: Catenaries (Railroads); Contact wire; Electric trains; Mathematical models; Pantographs; Strain (Mechanics); Wear
• Subject Areas: Railroads; Vehicles and Equipment;

Filing Info

• Accession Number: 01080312
• Record Type: Publication
• Source Agency: UC Berkeley Transportation Library
• Files: BTRIS, TRIS
• Created Date: Oct 31 2007 6:38AM