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Monte Carlo method for system reliability evaluation using reliability confidence distribution

  • Beihang University
  • CAS - Academy of Mathematics and System Sciences

Research output: Contribution to journalArticlepeer-review

Abstract

A Monte Carlo method was presented to ravel out the system reliability estimation problem of large and complex system's reliability, which is a hot and difficult spot in the reliability engineering field. The reliability samples of system's units from their reliability confidence distribution and system's reliability estimation equation were combined in the method to simulate system running and get the system's reliability. The difficult problem that no solution to get time samples from the discontinuous distributions is resolved by this method. Further more, the method has little limitation to the system's structure and complexity that will expand its utilization. An instance was given to illustrate the method's accuracy and availability in the estimation in a complex and large system through comparison with other reliability estimation methods which were generally use in the reliability engineering field.

Original languageEnglish
Pages (from-to)1023-1025+1082
JournalBeijing Hangkong Hangtian Daxue Xuebao/Journal of Beijing University of Aeronautics and Astronautics
Volume32
Issue number9
StatePublished - Sep 2006

Keywords

  • Evaluation
  • Monte Carlo methods
  • Reliability

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