Application of automated hazard analysis by new multiple process-representation models to chemical plants

Industrial and Engineering Chemistry Research

Volumn 40, Issue 8, 2001, Pages 1891-1902

  Kang, B ^a   En Sup Yoon, ^a   Jung Chul Suh, ^b  

^a Seoul National University   (South Korea)

^b KANAGAWA ACADEMY OF SCIENCE AND TECHNOLOGY   (Japan)

Author keywords

[No Author keywords available]

Indexed keywords

ACCIDENT PREVENTION; DIMERIZATION; HAZARDS; OLEFINS;

COGNITIVE EFFORTS;

CHEMICAL PLANTS;

AUTOMATED INSPECTION; CHEMICAL PLANT; HAZARD;

ALGORITHM; ARTICLE; CHEMICAL INDUSTRY; DIMERIZATION; HAZARD; MATHEMATICAL MODEL; RISK ASSESSMENT; STATISTICAL ANALYSIS; STATISTICAL MODEL;

EID: 0035906107     PISSN: 08885885     EISSN: None     Source Type: Journal    
DOI: 10.1021/ie000745d     Document Type: Article

References (25)

1. A prototype expert system for hazard and operability studies
2. Model-based approach to automated hazard identification of chemical plants
3. Digraph-based models for automated HAZOP analysis
4. TOPHAZOP: A knowledge-based software tool for conducting HAZOP in a rapid, efficient yet inexpensive manner
5. A modified computer hazard and operability study procedure
6. Automating HAZOP analysis of batch process
7. Functional and teleological knowledge in the multimodeling approach for reasoning about physical systems: A case study in diagnosis
8. New strategy for automated hazard analysis of chemical plants. Part 1: Knowledge modeling
9. New strategy for automated hazard analysis of chemical plants. Part 2: Reasoning algorithm and case study
10. Commonsense reasoning about causality: Deriving behavior from structure
11. A qualitative physics based on confluences
12. Causality in device behavior
13. Narrowing diagnostic focus using functional decomposition
14. Device representation - The significance of functional knowledge
15. Modeling goals and functions of complex industrial plants
16. Hazard identification based on plant functional modelling
17. Function-centered modeling of engineering systems using the goal tree-success tree technique and functional primitives