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Condition Monitoring and Diagnosis of Modern Dynamic Complex Systems using Criticality aspect of Key Performance Indicators
Luleå University of Technology, Department of Civil, Environmental and Natural Resources Engineering, Operation, Maintenance and Acoustics.ORCID iD: 0000-0003-3827-0295
Luleå University of Technology, Department of Civil, Environmental and Natural Resources Engineering, Operation, Maintenance and Acoustics.ORCID iD: 0000-0002-7474-2723
2017 (English)In: International Journal of COMADEM, ISSN 1363-7681, Vol. 20, no 1, p. 35-39Article in journal (Refereed) Published
Abstract [en]

Proactive condition monitoring, diagnosis and prognosis of modern complex engineering systems are becoming an increasingly challenging issue. This is mainly attributed to the dynamic global scenario and the ever increasing stakeholders conflicting interests. One of the most important missing links that is often given a low priority while assessing the health of a complex dynamic system is the key criticality of the system in question. This paper discusses some of the challenging issues facing the Asset Management personnel and highlights the importance of incorporating criticality aspect of the key performance indicator in the diagnosis and prognosis of all modern complex systems.

Place, publisher, year, edition, pages
Birmingham, UK: COMADEM International, 2017. Vol. 20, no 1, p. 35-39
Keywords [en]
Asset Management; Condition Monitoring, Key Performance Indicators, diagnosis, prognosis.
National Category
Reliability and Maintenance Other Civil Engineering
Research subject
Operation and Maintenance
Identifiers
URN: urn:nbn:se:ltu:diva-67466Scopus ID: 2-s2.0-85048751238OAI: oai:DiVA.org:ltu-67466DiVA, id: diva2:1179720
Available from: 2018-02-02 Created: 2018-02-02 Last updated: 2018-08-06Bibliographically approved

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