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- Title
Dynamic Reliability Assessment of Safety Instrumented System Based on Reliability Models.
- Authors
Davoudi, Masoud; Haleh, Hasan; T., S. Smaiel Najafi
- Abstract
Safety instrumented systems (SISs) are commonly used in the process industry, to respond to hazardous events. Reliability estimates play a crucial role in decision making related to the design and operation of safety instrumented systems. A safety instrumented system is often a complex system whose performance is seldom fully understood. The safety instrumented system reliability estimation is influenced by several simplifications and assumptions, both about the safety instrumented system and its operating context, and therefore subject to uncertainty. If the decision makers are not aware of the level of uncertainty, they may misinterpret the results and select a safety-instrumented system design that is either too complex or too simple, or with an inadequate testing strategy, to provide the required risk reduction. This article represents a model for reliability assessment of the safety instrumented systems. This approach is based on fuzzy dynamic fault tree and Markov models, and is exemplified by simple system configurations. The SIS reliability is quantified by the probability of failure on demand (PFD) and the frequency of entering a hazardous state that will lead to an accident if the situation is not controlled by additional barriers. The article shows that when we have the vague information we can use the fuzzy logic with considering dynamic characteristics of the system such as sequence dependency and functional dependency to do a quantitative analysis of the system. Finally, a case study is presented to demonstrate the application of the proposed approach for the high-integrity pressure protection system (HIPPS).
- Subjects
BUILDING design &; construction; BUILDINGS safety measures; RELIABILITY in engineering; DECISION making; PROBABILITY theory; MARKOV processes
- Publication
Caspian Journal of Applied Sciences Research, 2015, Vol 4, Issue 7, p26
- ISSN
2251-9114
- Publication type
Article