Abstract
This research is concerned with causal understanding and qualitative reasoning of behavior of physical systems, which are crucial issues of modelbased problem solving. In this paper, a new method of qualitative reasoning and causal ordering is proposed and its application to a power plant is presented. The method is based on our kernel ontologies of causality and time-resolution and a domain ontology of fluid systems. These ontologies help make the design rationales of our method explicit and facilitate reusability of our models. The whole of the target system is represented by combining a set of local component models and global constraints. The component models include local and causal characteristics of each component which are independent of context for their reuse on the basis of the ontology of causality. Global constraints with time-scales are derived according to the general properties of the physical entity which are prepared beforehand as a part of the domain ontology. They contribute to providing intuitive causal ordering of complex behavior originated in various configurations of components, including inter-component negative feedback. Furthermore, the method has been successfully applied to a power plant. All the reasoning results matched those obtained by a domain expert including their ambiguities.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Disclaimer: 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.