Fuzzy modelling of uncertain data in the layers of protection analysis

Ouazraoui, Nouara; Bourareche, Mouloud; Nait-Said, Rachid

doi:10.1109/ieom.2015.7093769

Cited by 3 publications

(5 citation statements)

References 14 publications

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“…It is stated in paper [1] that the SIL concept was widely used in the models of industrial hazard prevention. However, in paper [2], it was generalized that the SIL is based on the probability-relying data. Research results [3] expand the previous statement on the fact that probabilistic data bring…”

Section: Literature Review and Problem Statementmentioning

confidence: 99%

“…It is similarly possible to apply the ETA methods [24]. Taking into consideration that the concept of SIL is based on probabilistic data [2] with a certain share of uncertainty [3], the regulated methods are used to determine the risk [15][16][17][18]. However, qualitative indices are analyzed in this case [6].…”

Section: Fig 4 Input Of Ndmentioning

confidence: 99%

“…During testing in the framework of this work, it was performed for separate modules MSKU-4, in particular, for the normalizer of discrete signals ND-41. And if we leave generalizations [2], the use of the normalized rank methods [15][16][17][18] for ND-41 at the 2оо3 architecture will give the indicators of fault-free operation at SIL 3. And it is this result that raises doubts about the use of the methods and approaches [9].…”

Section: Fig 4 Input Of Ndmentioning

confidence: 99%

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Construction of methods for ensuring the required level of safety integrity in the automated systems of control over technological processes

Vitalii

Baturin

Lyfar

et al. 2019

EEJET

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Section: Literature Review and Problem Statementmentioning

confidence: 99%

Section: Fig 4 Input Of Ndmentioning

confidence: 99%

Section: Fig 4 Input Of Ndmentioning

confidence: 99%

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Construction of methods for ensuring the required level of safety integrity in the automated systems of control over technological processes

Vitalii

Baturin

Lyfar

et al. 2019

EEJET

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“…This is in addition to the subjective outcomes involving hypotheses and experts' judgments in the risk assessment process (Abrahamsson, 2002;Kumar et al, 2005). In the case of safety instrumented systems (SIS), which are considered highly reliable protection layers, and whose performance is quantified by their safety integrity level (SIL), the data referring to the probability of their deficiencies are affected by uncertainty as they are linked to rare events (Marszal and Scharpf, 2001;Markowski et al, 2007;Sallak, 2007;Simon et al, 2007;Nait-Said et al, 2009;Ouazraoui et al, 2013Ouazraoui et al, , 2015.…”

Section: Introductionmentioning

confidence: 99%

An alternative approach to safety integrity level determination: results from a case study

Ouazraoui

Nait-Said

2019

IJQRM

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Purpose The purpose of this paper is to validate a fuzzy risk graph model through a case study results carried out on a safety instrumented system (SIS). Design/methodology/approach The proposed model is based on an inference fuzzy system and deals with uncertainty data used as inputs of the conventional risk graph method. The coherence and redundancy of the developed fuzzy rules base are first verified in the case study. A new fuzzy model is suggested for a multi-criteria characterization of the avoidance possibility parameter. The fuzzy safety integrity level (SIL) is determined for two potential accident scenarios. Findings The applicability of the proposed fuzzy model on SIS shows the importance and pertinence of the proposed fuzzy model as decision-making tools in preventing industrial hazards while taking into consideration uncertain aspects of the data used on the conventional risk graph method. The obtained results show that the use of continuous fuzzy scales solves the problem of interpreting results and provides a more flexible structure to combine risk graph parameters. Therefore, a decision is taken on the basis of precise integrity level values and protective actions in the real world are suggested. Originality/value Fuzzy logic-based safety integrity assessment allows assessment of the SIL in a more realistic way by using the notion of the linguistic variable for representing information that is qualitative and imprecise and, therefore, ensures better decision making on risk prevention.

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“…However, it is poor practice to evaluate the suitability with a single characteristic parameter. At present, the research into geomagnetic map suitability focuses on the Fuzzy Decision Making (FDM) method Wang, 2011;Ouazraoui et al, 2015;Wu et al, 2015), and matching area classification and scene matching (Wang, 2011). However, the membership function of FDM is a single value, and favouring and opposing content cannot be taken into account simultaneously.…”

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confidence: 99%

Analysis and Simulation of Geomagnetic Map Suitability Based on Vague Set

Wang

Qiao

et al. 2016

J. Navigation

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An evaluation method named vague set is proposed to describe the suitability of a geomagnetic map. It is based on the Fuzzy Decision Making (FDM) method, and overcomes the FDM model's shortcomings that favouring and opposing content cannot be taken into account simultaneously. The membership function and non-membership function are used to define the influence of the geomagnetic map parameters on map suitability, including standard deviation, information entropy, roughness and slope variance. The weight of each geomagnetic map parameter is calculated by establishing an optimisation model. Vague set data are divided into four types after classification, and Weighted Score Function Values (WSFVs) of matching areas are obtained by using the Weighted Score Function (WSF) method. Then, WSFV of each matching area are compared to select an optimal area. Simulation results demonstrate that geomagnetic map suitability is positively proportional to the function value, and matching error is negatively proportional to the WSFV of the matching area. K E Y

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Fuzzy modelling of uncertain data in the layers of protection analysis

Cited by 3 publications

References 14 publications

Construction of methods for ensuring the required level of safety integrity in the automated systems of control over technological processes

Construction of methods for ensuring the required level of safety integrity in the automated systems of control over technological processes

An alternative approach to safety integrity level determination: results from a case study

Analysis and Simulation of Geomagnetic Map Suitability Based on Vague Set

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