Reliability prediction of a hydraulic system with probabilistic model checking

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Probabilistic model checking is a formal verification technique, which has been used in many areas including reliability assessment. In this paper, probabilistic model checking is introduced to reliability prediction of hydraulic systems, and a controllable pitch propeller hydraulic system is taken as an example. Firstly, aCTMC (Continuous-time Markov chain) model is established based on the system structure. Then CSL(Continuous Stochastic Logic) formulas are given to describe the reliability and failure rate of the system. Finally, the PRISM model checker is used to verify the properties and give the quantitative results. This paper describes how to analyze the system, create Markov models, and parts of the code. The results show that the method can actually predict the reliability and has potentials of further applications.

Original languageEnglish
Title of host publicationProceedings of 2015 the 1st International Conference on Reliability Systems Engineering, ICRSE 2015
EditorsShunong Zhang, Zili Wang
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781467385565
DOIs
StatePublished - 24 Dec 2015
Event1st International Conference on Reliability Systems Engineering, ICRSE 2015 - Beijing, China
Duration: 21 Oct 201523 Oct 2015

Publication series

NameProceedings of 2015 the 1st International Conference on Reliability Systems Engineering, ICRSE 2015

Conference

Conference1st International Conference on Reliability Systems Engineering, ICRSE 2015
Country/TerritoryChina
CityBeijing
Period21/10/1523/10/15

Keywords

  • PRISM
  • Probabilistic Model Checking
  • Reliability Prediction

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