Fuzzy Risk Graph Model for Determining Safety Integrity Level
Joint Authors
Ouzraoui, N.
Nait-Said, R.
Zidani, F.
Source
International Journal of Quality, Statistics, and Reliability
Issue
Vol. 2008, Issue 2008 (31 Dec. 2008), pp.1-12, 12 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2008-04-14
Country of Publication
Egypt
No. of Pages
12
Main Subjects
Economics & Business Administration
Economy
Abstract EN
The risk graph is one of the most popular methods used to determine the safety integrity level for safety instrumented functions.
However, conventional risk graph as described in the IEC 61508 standard is subjective and suffers from an interpretation problem of risk parameters.
Thus, it can lead to inconsistent outcomes that may result in conservative SIL's.
To overcome this difficulty, a modified risk graph using fuzzy rule-based system is proposed.
This novel version of risk graph uses fuzzy scales to assess risk parameters, and calibration may be made by varying risk parameter values.
Furthermore, the outcomes which are numerical values of risk reduction factor (the inverse of the probability of failure on demand) can be compared directly with those given by quantitative and semiquantitative methods such as fault tree analysis (FTA), quantitative risk assessment (QRA), and layers of protection analysis (LOPA).
American Psychological Association (APA)
Nait-Said, R.& Zidani, F.& Ouzraoui, N.. 2008. Fuzzy Risk Graph Model for Determining Safety Integrity Level. International Journal of Quality, Statistics, and Reliability،Vol. 2008, no. 2008, pp.1-12.
https://search.emarefa.net/detail/BIM-458588
Modern Language Association (MLA)
Nait-Said, R.…[et al.]. Fuzzy Risk Graph Model for Determining Safety Integrity Level. International Journal of Quality, Statistics, and Reliability No. 2008 (2008), pp.1-12.
https://search.emarefa.net/detail/BIM-458588
American Medical Association (AMA)
Nait-Said, R.& Zidani, F.& Ouzraoui, N.. Fuzzy Risk Graph Model for Determining Safety Integrity Level. International Journal of Quality, Statistics, and Reliability. 2008. Vol. 2008, no. 2008, pp.1-12.
https://search.emarefa.net/detail/BIM-458588
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-458588