2015
DOI: 10.1016/j.ifacol.2015.06.214
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Rule-based Mechanism to Optimize Asset Management Using a Technical Documentation Ontology

Abstract: Organisations have consistently been looking for different ways to advance the usage of their engineering assets towards ensuring the asset performance at peak levels and increasing their revenue. This task is always supported within industrial environments by the technical documentation describing in a complete manner the asset and dictating how it should be managed. However, a gap between the original documentation instructions on the asset usage and the actual asset usage combined with a low understanding o… Show more

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Cited by 7 publications
(4 citation statements)
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“…This ontology, however, relies heavily on data properties for storing values and does not conform with an upper ontology. This problem also present in a technical documentation ontology presented by Koukias and Kiritsis (2015) and an ontological analysis of manufacturing processes by Nagy et al (2021). This makes it difficult to re-use these ontologies and to integrate the ontology with existing ontologies (Katsumi and Grüninger, 2016).…”
Section: Past Workmentioning
confidence: 99%
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“…This ontology, however, relies heavily on data properties for storing values and does not conform with an upper ontology. This problem also present in a technical documentation ontology presented by Koukias and Kiritsis (2015) and an ontological analysis of manufacturing processes by Nagy et al (2021). This makes it difficult to re-use these ontologies and to integrate the ontology with existing ontologies (Katsumi and Grüninger, 2016).…”
Section: Past Workmentioning
confidence: 99%
“…However, the rigid relationships between concepts, such as "Station workstationHasResource Resource", means it has limited applicability to our work (as maintenance technicians rarely have a work station). In Section 7, we perform a further concept-level comparison between OMPD, and the ontologies described in Kortenkamp et al (2008), Németh et al (2010) and Koukias and Kiritsis (2015).…”
Section: Past Workmentioning
confidence: 99%
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“…Similar procedure is implemented in our proposed system but with PSO algorithm to improve the training phase using swarming procedure at every iterations. A ontology based automated clinical systems [13,16,17,18,22,25,26,27,29,30,31,32,33,34] has proved better in health care system and the association of fuzzy further enhanced the results [14,20,21,23,24,28]. Hence the use of ontology is inbuilt in the proposed system with fuzzy logic for Prakriti ailments.…”
Section: Related Workmentioning
confidence: 99%