2015 IEEE 13th International Conference on Industrial Informatics (INDIN) 2015
DOI: 10.1109/indin.2015.7281791
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Evaluation of control system reliability using combined dynamic fault trees and Markov models

Abstract: In this paper, dynamic simulation methods for reliability evaluation of common industry-based control system architectures are investigated. Control system design often employs complex reliability structures in the forms of several levels of software and hardware redundancies, hot and cold standby systems. This is required in order to achieve certain plant availability and safety functions. Control system maintenance requires expert knowledge due to the complexity of troubleshooting steps involved with a hardw… Show more

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Cited by 9 publications
(3 citation statements)
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“…L et al 37 . proposed DFTA, Mc and RBD, and introduced a DFTA block library for dynamic system behavior simulation to solve the above modeling problems.…”
Section: Resultsmentioning
confidence: 99%
See 1 more Smart Citation
“…L et al 37 . proposed DFTA, Mc and RBD, and introduced a DFTA block library for dynamic system behavior simulation to solve the above modeling problems.…”
Section: Resultsmentioning
confidence: 99%
“…In the process of solving, DFT is divided into static subtrees and dynamic subtrees, which are solved by BDD and Mc methods respectively. L et al 37 proposed DFTA, Mc and RBD, and introduced a DFTA block library for dynamic system behavior simulation to solve the above modeling problems. In order to evaluate the DFT, Monte Carlo simulation was used.…”
Section: Modular Frameworkmentioning
confidence: 99%
“…What states are considered depends on the analysed property (functional-non-functional, up-down, safe-dangerous). Modified versions of these methods (dynamic fault trees analysis (DTFA) in the paper [8] and dynamic reliability block diagram (DRBD) in the paper [9]) largely eliminate these deficiencies. Like support, these methods use Markov chains, Petri nets, Bays nets, or Monte Carlo simulations.…”
mentioning
confidence: 99%