STATISTICAL ANALYSIS OF RENEWAL DATA IN ROLLING STOCK MAINTENANCE

A sequence of replacements of like units treated as a whole is called a self renewing aggregate. A new method has been developed of estimating type by type failure characteristics of units from short interval observations of the renewal processes. The number of failures in the interval is a random variable and is correlated with the life-times of the units observed in the interval for each renewal process. These statistics are applied to analyze field data in rolling stock maintenance.

• Availability:
  • Find a library where document is available. Order URL: http://worldcat.org/oclc/3127232
• Corporate Authors:

  JAPANESE NATIONAL RAILWAYS

  TOKYO,   Japan 
• Authors:
  • Abe, S
• Publication Date: 1972-6

Media Info

• Features: Figures; Tables;
• Pagination: p. 112-115
• Serial:
  • Railway Technical Research Institute, Quarterly Reports
  • Volume: 13
  • Issue Number: 2
  • Publisher: Railway Technical Research Institute/Tetsudo Gijutsu Kenkyujo
  • ISSN: 0033-9008
  • Serial URL: http://www.rtri.or.jp/eng/

Subject/Index Terms

• TRT Terms: Intelligent transportation systems; Rolling stock; Statistical analysis
• Old TRIS Terms: Advanced systems
• Subject Areas: Data and Information Technology; Freight Transportation; Operations and Traffic Management; Railroads;

Filing Info

• Accession Number: 00041124
• Record Type: Publication
• Source Agency: Railway Technical Research Institute
• Files: TRIS
• Created Date: Mar 23 1974 12:00AM