Abstract
This study deals with fault tree analysis algorithms based on an ontology-based approach in a fuzzy environment. We extend fuzzy fault tree analysis by embedding ontology-based fault tree structures. The ontology-based approach allows conducting advanced analyses grounded on rich domain knowledge. Two approaches as the conventional approach and rule-based method are applied for the calculations of failure probability and analysis of the fault tree. Collision and grounding of an autonomous ship are investigated in two scenarios. The structural design, probability calculations, and sensitivity analyses prove that the proposed system is applicable, robust, accurate and reliable. Thus, the propounded ontology-based fault tree algorithms fill a gap in safety engineering by its capability of comprehensiveness.
Highlights
Fault trees are top-to-down structures associated to a problem, a failure or a casualty [1]
Fault tree analysis (FTA) is a robust, flexible, well-established and user-friendly technique to analyze the systems in terms of safety, finance, dependability, criticality, etc.; traditional FTA approaches do not exploit the rich domain knowledge available
Expert elicitation method is applied to eliminate uncertainty in the data resulting from limited resources or physical constraints [22], [39]
Summary
Fault trees are top-to-down structures associated to a problem, a failure or a casualty [1]. Fault trees allow analyzing a problem in a step-by-step manner, where the events connect to each other based on causation. Ontologies [2] are formal artefacts capturing the structure and semantics of a domain of interest at a high level of abstraction through standardized vocabularies allowing reuse and exchange [3]. They model domain concepts, their properties, and relationships between these concepts; for example an ontology may represent components
Sign-in/Register to view highlights & summary Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
