Dynamic safety analysis of process systems by mapping bow-tie into Bayesian network

By Nima Khakzad, F. Khan, Paul Amyotte. 2013

560 citations recorded by the source corpus.

Abstract Among the various techniques used for safety analysis of process systems, bow-tie (BT) analysis is becoming a popular technique as it represents an accident scenario from causes to effects. However, the BT application in the dynamic safety analysis is limited due to the static nature of its components, i.e. fault tree and event tree. It is therefore difficult in BT to take accident precursors into account to update the probability of events and the consequent risk. Also, BT is unable to represent conditional dependency. Event dependency is common among primary events and safety barriers. The current paper illustrates how Bayesian network (BN) helps to overcome these limitations. It has also been shown that BN can be used in dynamic safety analysis of a wide range of accident scenarios due to its flexible structure. This paper also introduces the application of probability adapting in dynamic safety analysis rather than probability updating. A case study from the U.S. Chemical Safety Board has been used to illustrate the application of both BT and BN techniques, with a comparison of the results from each technique.

Subfields: Radiological and Ultrasound Technology, Safety, Risk, Reliability and Quality, Statistics and Probability

View Paper: https://www.semanticscholar.org/paper/7dde5043f6216dbbb7873b9c8228196a5f42fb14

How researchers see this paper

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In Radiological and Ultrasound Technology

  1. Enrico Zio
  2. Yiannis Papadopoulos
  3. Sohag Kabir

In Safety, Risk, Reliability and Quality

  1. Enrico Zio
  2. Yiannis Papadopoulos
  3. Sohag Kabir

In Statistics and Probability

  1. Enrico Zio
  2. Yiannis Papadopoulos
  3. Sohag Kabir

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