A probabilistic method for certification of analytically redundant systems

Research output: Chapter in Book/Report/Conference proceedingConference contribution

9 Scopus citations

Abstract

Analytical fault detection algorithms have the potential to reduce the size, power and weight of fault tolerant safety-critical aerospace systems. One obstacle is the need for appropriate tools to certify the reliability of these systems. To complement high fidelity Monte Carlo simulations, this paper presents a theoretical method to assess the probabilistic performance of analytically redundant systems. Specifically, this paper considers a dual-redundant fault tolerant system that uses a fault detection algorithm to switch between the hardware components. The exact system failure rate per hour is computed using the law of total probability. The analysis assumes known failure models for the hardware components as well as knowledge of the probabilistic performance of the fault detection logic. A numerical example is provided to demonstrate the proposed method.

Original languageEnglish (US)
Title of host publication2nd International Conference on Control and Fault-Tolerant Systems, SysTol 2013
Pages13-18
Number of pages6
DOIs
StatePublished - Dec 1 2013
Event2nd International Conference on Control and Fault-Tolerant Systems, SysTol 2013 - Nice, France
Duration: Oct 9 2013Oct 11 2013

Publication series

NameConference on Control and Fault-Tolerant Systems, SysTol
ISSN (Print)2162-1195
ISSN (Electronic)2162-1209

Other

Other2nd International Conference on Control and Fault-Tolerant Systems, SysTol 2013
CountryFrance
CityNice
Period10/9/1310/11/13

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