Fault propagation behavior study and root cause reasoning with dynamic Bayesian network based framework

作者：Hu, Jinqiu^*; Zhang, Laibin; Cai, Zhansheng; Wang, Yu; Wang, Anqi

来源：Process Safety and Environmental Protection, 2015, 97: 25-36.

DOI：10.1016/j.psep.2015.02.003

• Process safety
• Root cause reasoning
• HAZOP
• Dynamic Bayesian network

The Bhopal disaster was a gas leak incident in India, considered the world's worst industrial disaster happened around process facilities. Nowadays the process facilities in petrochemical industries have becoming increasingly large and automatic. There are many risk factors with complex relationships among them. Unfortunately, some operators have poor access to abnormal situation management experience due to the lack of knowledge. However these interdependencies are seldom accounted for in current risk and safety analyses, which also belonged to the main factor causing Bhopal tragedy. Fault propagation behavior of process system is studied in this paper, and a dynamic Bayesian network based framework for root cause reasoning is proposed to deal with abnormal situation. It will help operators to fully understand the relationships among all the risk factors, identify the causes that lead to the abnormal situations, and consider all available safety measures to cope with the situation. Examples from a case study for process facilities are included to illustrate the effectiveness of the proposed approach. It also provides a method to help us do things better in the future and to make sure that another such terrible accident never happens again.

• 出版日期2015-9
• 单位中国石油大学（北京）