Modeling patterns for reliability assessment of safety instrumented systems

Huixing Meng; Leïla Kloul; Antoine Rauzy

doi:10.1016/j.ress.2018.06.026

Modeling patterns for reliability assessment of safety instrumented systems

Huixing Meng^*, Leïla Kloul, Antoine Rauzy

^*Corresponding author for this work

Research output: Contribution to journal › Article › peer-review

22 Citations (Scopus)

Abstract

Safety Instrumented Systems (SIS) act as crucial safety barriers for preventing hazardous accidents in the industrial systems. It is therefore of primary importance to study their reliability, i.e. eventually to design probabilistic reliability assessment models. SIS have common behaviors such as the periodic test policies to reveal the dangerous undetected failures. These common behaviors can be captured in models via modeling patterns. By reusing modeling patterns, the modeling process can be simplified and made more efficient. In this paper, we propose a versatile set of modeling patterns implemented in AltaRica 3.0 language. We apply them to assess the reliability of SIS described in ISO technical report ISO/TR 12489. Comparisons are performed between the results obtained from AltaRica models and those reported in ISO/TR 12489. We show that the set of proposed modeling patterns can serve as an effective tool to model SIS in a modular way.

Original language	English
Pages (from-to)	111-123
Number of pages	13
Journal	Reliability Engineering and System Safety
Volume	180
DOIs	https://doi.org/10.1016/j.ress.2018.06.026
Publication status	Published - Dec 2018
Externally published	Yes

Keywords

ISO/TR 12489
Modeling patterns
Reliability assessment
Safety instrumented systems

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10.1016/j.ress.2018.06.026

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title = "Modeling patterns for reliability assessment of safety instrumented systems",

abstract = "Safety Instrumented Systems (SIS) act as crucial safety barriers for preventing hazardous accidents in the industrial systems. It is therefore of primary importance to study their reliability, i.e. eventually to design probabilistic reliability assessment models. SIS have common behaviors such as the periodic test policies to reveal the dangerous undetected failures. These common behaviors can be captured in models via modeling patterns. By reusing modeling patterns, the modeling process can be simplified and made more efficient. In this paper, we propose a versatile set of modeling patterns implemented in AltaRica 3.0 language. We apply them to assess the reliability of SIS described in ISO technical report ISO/TR 12489. Comparisons are performed between the results obtained from AltaRica models and those reported in ISO/TR 12489. We show that the set of proposed modeling patterns can serve as an effective tool to model SIS in a modular way.",

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author = "Huixing Meng and Le{\"i}la Kloul and Antoine Rauzy",

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doi = "10.1016/j.ress.2018.06.026",

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volume = "180",

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T1 - Modeling patterns for reliability assessment of safety instrumented systems

AU - Meng, Huixing

AU - Kloul, Leïla

AU - Rauzy, Antoine

PY - 2018/12

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N2 - Safety Instrumented Systems (SIS) act as crucial safety barriers for preventing hazardous accidents in the industrial systems. It is therefore of primary importance to study their reliability, i.e. eventually to design probabilistic reliability assessment models. SIS have common behaviors such as the periodic test policies to reveal the dangerous undetected failures. These common behaviors can be captured in models via modeling patterns. By reusing modeling patterns, the modeling process can be simplified and made more efficient. In this paper, we propose a versatile set of modeling patterns implemented in AltaRica 3.0 language. We apply them to assess the reliability of SIS described in ISO technical report ISO/TR 12489. Comparisons are performed between the results obtained from AltaRica models and those reported in ISO/TR 12489. We show that the set of proposed modeling patterns can serve as an effective tool to model SIS in a modular way.

AB - Safety Instrumented Systems (SIS) act as crucial safety barriers for preventing hazardous accidents in the industrial systems. It is therefore of primary importance to study their reliability, i.e. eventually to design probabilistic reliability assessment models. SIS have common behaviors such as the periodic test policies to reveal the dangerous undetected failures. These common behaviors can be captured in models via modeling patterns. By reusing modeling patterns, the modeling process can be simplified and made more efficient. In this paper, we propose a versatile set of modeling patterns implemented in AltaRica 3.0 language. We apply them to assess the reliability of SIS described in ISO technical report ISO/TR 12489. Comparisons are performed between the results obtained from AltaRica models and those reported in ISO/TR 12489. We show that the set of proposed modeling patterns can serve as an effective tool to model SIS in a modular way.

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Modeling patterns for reliability assessment of safety instrumented systems

Abstract

Keywords

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