Generating cause-implication graphs for process systems via blended hazard identification methods

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Generating cause-implication graphs for process systems via blended hazard identification methods

Causal knowledge in complex process systems is a powerful representational model that permits a range of important applications related to process risk management. These include the development of operator training systems, diagnosis tools, emergency response planning as well as implications on proc...

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Bibliographic Details
Main Authors:	Németh, E., Seligmann, Ben, Hockings, K., Oakley, J., O'Brien, C., Hangos, K., Cameron, I.
Format:	Journal Article
Published:	2011
Online Access:	http://hdl.handle.net/20.500.11937/46058

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