Authors:
Abigail Parisaca Vargas
and
Robin Bloomfield
Affiliation:
City University, United Kingdom
Keyword(s):
Preliminary Hazard Analysis, Hazard Analysis, Hazard Identification, Ontologies, Railway.
Related
Ontology
Subjects/Areas/Topics:
Applications and Case-studies
;
Artificial Intelligence
;
Business Analytics
;
Cardiovascular Technologies
;
Communication and Software Technologies and Architectures
;
Computing and Telecommunications in Cardiology
;
Data Engineering
;
Decision Support Systems
;
Decision Support Systems, Remote Data Analysis
;
Domain Analysis and Modeling
;
e-Business
;
Enterprise Information Systems
;
Health Engineering and Technology Applications
;
Information Systems Analysis and Specification
;
Knowledge Engineering
;
Knowledge Engineering and Ontology Development
;
Knowledge-Based Systems
;
Ontologies and the Semantic Web
;
Ontology Engineering
;
Symbolic Systems
Abstract:
Hazard identification and hazard analysis are difficult and essential parts of safety engineering. These activities
are very demanding and mostly manual. There is an increasing need for improved analysis tools and
techniques. In this paper we report research that focuses on supporting the early stages of hazard identification.
A state-based hazard analysis process is presented to explore dependencies between causes and consequences
of hazards. The process can be used to automate the analysis of preliminary hazard worksheets with the aims
of making them more precise, disambiguating causal relationships, and supporting the proper definition of
system boundaries. An application example is presented for a railway system.