Multimodeling approach for automated hazard analysis of batch process plants

Journal of Chemical Engineering of Japan

Volumn 34, Issue 6, 2001, Pages 802-809

  Kang, Byounggwan ^a   Suh, Jung Chul ^b   Wakakura, Masahide ^b   Yoon, En Sup ^a  

^a Seoul National University   (South Korea)

^b KANAGAWA ACADEMY OF SCIENCE AND TECHNOLOGY   (Japan)

Author keywords

Automation; Batch; Process models; Safety analysis; Systems design

Indexed keywords

HAZARD ANALYSIS;

ALGORITHMS; AUTOMATIC TESTING; DRUG PRODUCTS; HAZARDS; MATHEMATICAL MODELS;

BATCH DATA PROCESSING;

AUTOMATION; BATCH PROCESS; HAZARD; PROCESS PLANT;

EID: 0035359183     PISSN: 00219592     EISSN: None     Source Type: Journal    
DOI: 10.1252/jcej.34.802     Document Type: Article

References (19)

1. Functional and teleological knowledge in the multimodeling approach for reasoning about physical systems: A case study in diagnosis
2. Narrowing diagnostic focus using functional decomposition
3. Causality in device behavior
4. A general algorithm for short-term scheduling of batch operations-I MILP. formulation
5. Commonsense reasoning about causality: Deriving behavior from structure
6. Modeling goals and functions of complex industrial plants
7. Function-Centered modeling of engineering systems using the goal tree-success tree technique and functional primitives
8. A systematic hazop procedure for batch processes, and its application to pipeess plants
9. Automating HAZOP analysis of batch chemical plants: Part II. Algorithms and application
10. New strategy for automated hazard analysis of chemical plant
11. Digraph-based models for automated HAZOP analysis
12. A prototype-expert system for hazard and operability studies