Publication detail

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

STRNADEL, J.

Original Title

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

Type

conference paper

Language

English

Original 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.

Keywords

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

Authors

STRNADEL, J.

Released

1. 1. 2019

Publisher

IEEE Computer Society

Location

Florence

ISBN

978-3-9819263-2-3

Book

Design, Automation & Test in Europe Conference & Exhibition (DATE)

Pages from

614

Pages to

617

Pages count

4

URL

https://ieeexplore.ieee.org/document/8714878

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"
}

Documents

strnadel_date2019_poster.pdf
0003.pdf