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Ontology driven certification of pressure equipments

Author(s)
Camossi, Elena  
Giannini, Franca  
Monti, Marina  
Bragatto, Paolo  
Pittiglio, Paolo  
Ansaldi, Silvia  
Uri
http://hdl.handle.net/10197/1445
Date Issued
2008-12
Date Available
2009-09-28T15:57:58Z
Abstract
Standards and engineering codes rule design, construction and operation of chemical plant equipments to ensure reliability and safety. In this paper, we exploit knowledge-based methodologies and technologies to guarantee safety rules compliance of pressure equipments. Specifically, we describe a knowledge-based tool defined on top of a knowledge-based CAD system, which can serve inspection bodies, i.e., for certification purposes, and pressure equipment designers for the verification of the appropriate safety normative (i.e., the Pressure Equipment Directive). The paper focuses on the knowledge base of the tool, which has been formalized through the PED&I (Pressure Equipment Design and Inspection) Ontology. The ontology has been enriched by logical axioms, which ensure the consistency of the knowledge base, and by reasoning rules, which enable to infer new relationships among the class instances stored in the ontology.
Sponsorship
Science Foundation Ireland; Irish Research Council for Science, Engineering & Technology
Type of Material
Journal Article
Publisher
Wiley
Journal
Process Safety Progress
Volume
27
Issue
4
Start Page
313
End Page
322
Copyright (Published Version)
2008 American Institute of Chemical Engineers
Subjects

Safety rules complian...

Risk analysis

Pressure equipments

Ontology

Knowledge mangement

Knowledge-based CAD

Subject – LCSH
Knowledge management
Chemical plants--Equipment and supplies
Industrial safety
Ontologies (Information retrieval)
Computer-aided design
DOI
10.1002/prs.10277
Web versions
http://dx.doi.org/10.1002/prs.10277
Language
English
Status of Item
Peer reviewed
This item is made available under a Creative Commons License
https://creativecommons.org/licenses/by-nc-sa/1.0/
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camossiMONTI-072008.pdf

Size

1.13 MB

Format

Adobe PDF

Checksum (MD5)

fc08e9151ffb77e7488d79e29349f661

Owning collection
Computer Science Research Collection

Item descriptive metadata is released under a CC-0 (public domain) license: https://creativecommons.org/public-domain/cc0/.
All other content is subject to copyright.

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