Lz-transform and inverse Lz-transform application to dynamic reliability assessment for multi-state system

A. Lisnianski, Y. Ding

Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

Abstract

The paper presents a new method for reliability assessment for complex multi-state system. The system and its components can have different performance levels ranging from perfect functioning to complete failure. Straightforward Markov method applied to solve the problem will require building of the system model with great number of states and solving a corresponding system of differential equations. Lz-transform method, which is used for reliability assessment drastically simplified the solution. Instead of straightforward finding of the resulting output stochastic process for entire MSS in the paper proposed finding Lztransform of this output process, which is essentially simpler because of using Ushakov's universal generating operator. Some reliability indices such as availability, expected performance, etc. may be found from the expression of this Lztransform. In order to find other indices such as reliability function, mean time to failure etc. inverse LZ-transform is using that completely reveals underlying output process.
Original languageEnglish
Title of host publicationProceedings of the 20th Issat International Conference Reliability and Quality in Design
Publication date2014
Pages11-19
ISBN (Print)9780991057603
Publication statusPublished - 2014
Event20th ISSAT International Conference on Reliability and Quality in Design - Seattle, Washington, United States
Duration: 7 Aug 20149 Aug 2014

Conference

Conference20th ISSAT International Conference on Reliability and Quality in Design
CountryUnited States
CitySeattle, Washington
Period07/08/201409/08/2014

Keywords

  • Safety, Risk, Reliability and Quality
  • Inverse Lz-transform
  • Lz-transform
  • Multi-state system
  • Reliability
  • Universal generating function
  • Differential equations
  • Random processes
  • Reliability analysis
  • Stochastic systems
  • Dynamic reliability assessment
  • Mean time to failure
  • Reliability assessments
  • Reliability functions
  • System of differential equations
  • Transform methods
  • Universal generating functions
  • Inverse transforms

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