Research on Risk Calculation in Chemical Production Processes Based on Dynamic Bayesian Networks
Author:
Affiliation:
1. Tsinghua University,Department of Automation,Beijing,China,100084
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10292994/10292944/10293090.pdf?arnumber=10293090
Reference7 articles.
1. BN-SLIM: A Bayesian Network methodology for human reliability assessment based on Success Likelihood Index Method (SLIM)
2. A dynamic and simulation-based method for quantitative risk assessment of the domino accident in chemical industry
3. Quantitative risk assessment of static equipment in petroleum and natural gas processing station based on corrosion-thinning failure degree
4. Dynamic Bayesian network-based operational risk assessment for industrial water pipeline leakage
5. Covariate model-based fault tree analysis for risk assessment in chemical process industries: A case study of a chlorine manufacturing facility
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