id	author	title	date	pages	extension	mime	words	sentences	flesch	summary	cache	txt
work_pvqnj77vmvhlxio2xevwsc3you	Jinsong Zhao	Learning HAZOP expert system by case-based reasoning and ontology	2009	8	.pdf	application/pdf	6159	904	68	earning HAZOP expert system by case-based reasoning and ontology PetroHAZOP has been developed based on the integration of case-based reasoning (CBR) and ontology case base module, CBR engine module, knowledge maintenance module and user graphical interface Within the case base, HAZOP analysis knowledge is represented as cases which are organized In order to enhance the case retrieval, a new set of ontologies for CBR-based HAZOP ased on the integration of CBR and ontology that can help autoate both "routine" and "non-routine" HAZOP analysis. When a new problem is subitted, CBR system retrieves the similar cases from the case base or CBR-based HAZOP analysis (CHA) is created in this paper by HAZOP analysis of chemical process needs knowledge from The HAZOP analysis process of the case-based expert system HAZOP analysis tool for chemical processes Part I: Knowledge Engineering Learning HAZOP expert system by case-based reasoning and ontology	./cache/work_pvqnj77vmvhlxio2xevwsc3you.pdf	./txt/work_pvqnj77vmvhlxio2xevwsc3you.txt