2019
DOI: 10.1016/j.ress.2018.11.004
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A comparison of fault trees and the Dynamic Flowgraph Methodology for the analysis of FPGA-based safety systems part 2: Theoretical investigations

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Cited by 9 publications
(20 citation statements)
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“…The second part is the mainstream analysis technology of DFT analysis at present, 18 The third is the other complementary methods that researchers have found in the continuous exploration, which can help to solve some defects in DFT analysis, including artificial neural network (ANN), Petri network (PN), dynamic uncertain causality graph (DUCG), and so on. 19,20 As shown in Figure 4, these realization methods/analysis techniques are classified, including general analysis techniques and complementary methods. The general analysis technology often transforms the tree structure to simplify the model and facilitate the calculation.…”
Section: The Realization Methods Of Dftmentioning
confidence: 99%
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“…The second part is the mainstream analysis technology of DFT analysis at present, 18 The third is the other complementary methods that researchers have found in the continuous exploration, which can help to solve some defects in DFT analysis, including artificial neural network (ANN), Petri network (PN), dynamic uncertain causality graph (DUCG), and so on. 19,20 As shown in Figure 4, these realization methods/analysis techniques are classified, including general analysis techniques and complementary methods. The general analysis technology often transforms the tree structure to simplify the model and facilitate the calculation.…”
Section: The Realization Methods Of Dftmentioning
confidence: 99%
“…The second part is the mainstream analysis technology of DFT analysis at present, including Markov chain, MC simulation, binary decision diagram (BDD), and Bayesian network (BN) 18 . The third is the other complementary methods that researchers have found in the continuous exploration, which can help to solve some defects in DFT analysis, including artificial neural network (ANN), Petri network (PN), dynamic uncertain causality graph (DUCG), and so on 19,20 …”
Section: The Realization Methods Of Dftmentioning
confidence: 99%
“…14,15 A DFM based temporal approach to estimate the probability of failure of a digital system was performed. 16 It demonstrated the capability of DFM in handling of the multi valued logic and inclusion of the sink states and dynamic consistency rules in the analysis. The suitable techniques identified for this study and their respective attributes are shown in Table 1.…”
Section: Introductionmentioning
confidence: 93%
“…6,7,16,18 A comparison between Fault Trees and DFM approach in modelling the time dependent behaviour of multi-valued logic systems was previously performed in the literature. 16 DFM was applied to a Water Level Measurement (WLM) system wherein it was modelled as a dynamic system as shown in Figure 4. WLM at the current time step is a function of its value at the previous time step, as well as the value of the "Water Level" (WL) and "Measurement Failure" (MF) inputs.…”
Section: Node Statesmentioning
confidence: 99%
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