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Modeling for evaluation of safety instrumented systems with heterogeneous components

Author

Listed:
  • Cai, Baoping
  • Li, Wenchao
  • Liu, Yiliu
  • Shao, Xiaoyan
  • Zhang, Yanping
  • Zhao, Yi
  • Liu, Zengkai
  • Ji, Renjie
  • Liu, Yonghong

Abstract

A novel methodology for evaluation of safety instrumented systems (SISs) with heterogeneous components based on multi-stage dynamic Bayesian networks (MDBNs) is proposed. The unified evaluation model for M-out-of-N architectures based on MDBNs is constructed. An automatic modeling method of conditional probability tables for time-slice and inter-slice transitions is established. Average probability of failure on demand (PFDavg) and probability of failing safety (PFS) of the structure can be calculated by the established model. A method for calculating the life-cycle cost of SISs is presented by using the results of system evaluation and specific cost details. A high-integrity pressure protection system (HIPPS) is adopted to demonstrate the application of the proposed approach. A MDBNs-based evaluation and cost analysis software of heterogeneous redundant structure is developed by using MATLAB graphical user interface. The analysis of system evaluation results and life-cycle cost can help the designer determine the configuration of the heterogeneous redundant structure.

Suggested Citation

  • Cai, Baoping & Li, Wenchao & Liu, Yiliu & Shao, Xiaoyan & Zhang, Yanping & Zhao, Yi & Liu, Zengkai & Ji, Renjie & Liu, Yonghong, 2021. "Modeling for evaluation of safety instrumented systems with heterogeneous components," Reliability Engineering and System Safety, Elsevier, vol. 215(C).
  • Handle: RePEc:eee:reensy:v:215:y:2021:i:c:s0951832021003446
    DOI: 10.1016/j.ress.2021.107823
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    References listed on IDEAS

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    Cited by:

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    2. Xie, Lin & Lundteigen, Mary Ann & Liu, Yiliu, 2021. "Performance analysis of safety instrumented systems against cascading failures during prolonged demands," Reliability Engineering and System Safety, Elsevier, vol. 216(C).
    3. Yuan, Shuaiqi & Cai, Jitao & Reniers, Genserik & Yang, Ming & Chen, Chao & Wu, Jiansong, 2022. "Safety barrier performance assessment by integrating computational fluid dynamics and evacuation modeling for toxic gas leakage scenarios," Reliability Engineering and System Safety, Elsevier, vol. 226(C).
    4. Liu, Zengkai & Ma, Qiang & Cai, Baoping & Shi, Xuewei & Zheng, Chao & Liu, Yonghong, 2022. "Risk coupling analysis of subsea blowout accidents based on dynamic Bayesian network and NK model," Reliability Engineering and System Safety, Elsevier, vol. 218(PA).

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