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Asset management evolution: from taxonomies toward ontologies
University of Skövde, School of Engineering Science. University of Skövde, The Virtual Systems Research Centre. (Produktion och Automatiseringsteknik, Production and Automation Engineering)ORCID iD: 0000-0002-8906-630X
University of Skövde, School of Engineering Science. University of Skövde, The Virtual Systems Research Centre. Luleå University of Technology, Sweden. (Produktion och Automatiseringsteknik, Production and Automation Engineering)ORCID iD: 0000-0002-4107-0991
University of Skövde, School of Engineering Science. University of Skövde, The Virtual Systems Research Centre. KTH. (Produktion och Automatiseringsteknik, Production and Automation Engineering)ORCID iD: 0000-0001-8679-8049
2015 (English)In: Maintenance, Condition Monitoring and Diagnostics, Maintenance Performance Measurement and Management / [ed] Sulo Lahdelma and Kari Palokangas, Oulu, Finland: POHTO , 2015Conference paper (Refereed)
Abstract [en]

This paper addresses the evolution that can be observed in Asset Management in modelling approach. Most traditional Condition Monitoring systems use hierarchical representations of monitored the integration of data from disparate source toward context awareness and Big Data utilization there is a need to include and model more complicated dependencies than hierarchical. Ontology based modelling is gaining recently on popularity in the domain of Condition Monitoring and Asset Management.

Place, publisher, year, edition, pages
Oulu, Finland: POHTO , 2015.
Keyword [en]
Condition based maintenance, context awareness, taxonomy, ontology
National Category
Reliability and Maintenance
Research subject
Technology
Identifiers
URN: urn:nbn:se:his:diva-11574ISBN: 978-951-98113-7-6OAI: oai:DiVA.org:his-11574DiVA: diva2:858335
Conference
MCMD 2015 and MPMM 2015, 30th September - 1st October, 2015 Oulu, Finland
Available from: 2015-10-01 Created: 2015-10-01 Last updated: 2015-11-09Bibliographically approved

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