Modeling patterns for reliability assessment of safety instrumented systems

被引:18
|
作者
Meng, Huixing [1 ]
Kloul, Leila [2 ]
Rauzy, Antoine [3 ]
机构
[1] Ecole Polytech, Lab Comp Sci, Paris, France
[2] Univ Versailles St Quentin En Yvelines, DAVID, Versailles, France
[3] Norwegian Univ Sci & Technol, Dept Mech & Ind Engn, Trondheim, Norway
关键词
Modeling patterns; Reliability assessment; Safety instrumented systems; ISO/TR; 12489; COMMON-CAUSE FAILURES; SPURIOUS ACTIVATION; IEC; 61508; METHODOLOGY; OIL;
D O I
10.1016/j.ress.2018.06.026
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
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.
引用
收藏
页码:111 / 123
页数:13
相关论文
共 50 条
  • [1] Uncertainty assessment of reliability estimates for safety instrumented systems
    Jin, H.
    Lundteigen, M. A.
    Rausand, M.
    ADVANCES IN SAFETY, RELIABILITY AND RISK MANAGEMENT, 2012, : 2213 - 2221
  • [2] Reliability for safety instrumented systems
    Williams, JP
    CHEMICAL ENGINEERING PROGRESS, 2004, 100 (09) : 27 - 32
  • [3] Uncertainty assessment of reliability estimates for safety-instrumented systems
    Jin, Hui
    Lundteigen, Mary Ann
    Rausand, Marvin
    PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART O-JOURNAL OF RISK AND RELIABILITY, 2012, 226 (O6) : 646 - 655
  • [4] A Pattern-based Methodology for Reliability Assessment of Safety Instrumented Systems
    Meng, Huixing
    Kloul, Leila
    Rauzy, Antoine
    2017 IEEE INTERNATIONAL SYMPOSIUM ON SYSTEMS ENGINEERING (ISSE 2017), 2017, : 438 - 443
  • [5] Reliability assessment of safety instrumented systems subject to different demand modes
    Liu, Yiliu
    Rausand, Marvin
    JOURNAL OF LOSS PREVENTION IN THE PROCESS INDUSTRIES, 2011, 24 (01) : 49 - 56
  • [6] Automatic creation of Markov models for reliability assessment of safety instrumented systems
    Guo, Haitao
    Yang, Xianhui
    RELIABILITY ENGINEERING & SYSTEM SAFETY, 2008, 93 (06) : 829 - 837
  • [7] Modeling and reliability assessment of a 3-channel safety-instrumented system
    Liu, Y. L.
    Rausand, M.
    Jin, H.
    2012 IEEE INTERNATIONAL CONFERENCE ON INDUSTRIAL ENGINEERING AND ENGINEERING MANAGEMENT (IEEM), 2012, : 2098 - 2102
  • [8] Fuzzy Reliability Assessment of Safety Instrumented Systems Accounting for Common Cause Failure
    Yu, Hongping
    Zhao, Yue
    Mo, Li
    IEEE ACCESS, 2020, 8 : 135371 - 135382
  • [9] NEW RELIABILITY MEASURE FOR SAFETY INSTRUMENTED SYSTEMS
    Jin, Hui
    Lundteigen, Mary Ann
    Rausand, Marvin
    INTERNATIONAL JOURNAL OF RELIABILITY QUALITY AND SAFETY ENGINEERING, 2013, 20 (01)
  • [10] Evaluation of safety instrumented systems using reliability analysis
    Jin, SH
    Yeo, YK
    Moon, I
    Chung, Y
    Kim, IW
    PROCESS SAFETY PROGRESS, 2003, 22 (03) : 169 - 173