Publication Details

Using Statistical Model Checking to Assess Reliability for Bathtub-Shaped Failure Rates

STRNADEL, J. Using Statistical Model Checking to Assess Reliability for Bathtub-Shaped Failure Rates. In Design, Automation & Test in Europe Conference & Exhibition (DATE). Florence: IEEE Computer Society, 2019. p. 614-617. ISBN: 978-3-9819263-2-3.
Czech title
Využití statistického ověřování modelů k ohodnocení bezporuchovosti pro intenzity poruch ve tvaru vanové křivky
Type
conference paper
Language
English
Authors
URL
Keywords

reliability, assessment, reliability model, fault, failure, stochastic automaton,
timed automaton, simulation, statistical model checking

Abstract

Ideally, the reliability can be assessed analytically, provided that an
analytical solution exists and its presumptions are met. Otherwise, alternative
approaches to the assessment must apply. This paper proposes a novel, simulation
based approach that relies on stochastic timed automata. Based on the automata,
our paper explains principles of creating reliability models for various
scenarios. Our approach expects that a reliability model is then processed by
a statistical model checking method, used to assess the reliability by
statistical processing of simulation results over the model. Main goal of this
paper is to show that instruments of stochastic timed automata and statistical
model checking are capable of facilitating the assessment process even for
adverse conditions such as bathtub shaped hazard failure rates.

Published
2019
Pages
614–617
Proceedings
Design, Automation & Test in Europe Conference & Exhibition (DATE)
Conference
Design, Automation and Test in Europe Conference, Florencie, IT
ISBN
978-3-9819263-2-3
Publisher
IEEE Computer Society
Place
Florence
DOI
UT WoS
000470666100113
EID Scopus
BibTeX
@inproceedings{BUT156842,
  author="Josef {Strnadel}",
  title="Using Statistical Model Checking to Assess Reliability for Bathtub-Shaped Failure Rates",
  booktitle="Design, Automation & Test in Europe Conference & Exhibition (DATE)",
  year="2019",
  pages="614--617",
  publisher="IEEE Computer Society",
  address="Florence",
  doi="10.23919/DATE.2019.8714878",
  isbn="978-3-9819263-2-3",
  url="https://ieeexplore.ieee.org/document/8714878"
}
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