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Application of dynamic benchmarking of rotating machinery for eMaintenance
Luleå tekniska universitet, Institutionen för samhällsbyggnad och naturresurser, Drift, underhåll och akustik.ORCID-id: 0000-0002-4107-0991
University of Zaragoza.
2010 (engelsk)Inngår i: Proceedings of the 1st international workshop and congress on eMaintenance, Luleå tekniska universitet, 2010, s. 227-233Konferansepaper, Publicerat paper (Fagfellevurdert)
Abstract [en]

The vibration analysis and condition monitoring technology is based on comparison of measurements obtained with benchmarks suggested by manufacturers or standards. In this case, the references provided by current rules are static and independent of parameters such as age or environmental conditions in which the machine is analyzed.New communication technologies allow the integration of eMaintenance systems, production and real-time data or the result of vibration routes. The integration of all these data allows Data mining and extraction of parameters to be incorporated into decision-making typical of CBM, such as repairs, downtime, overhauls etc.This paper proposes the use of indicators that result from data mining as a reference dynamic, not static as proposed by the standard. The application of these references to the decision making process of the maintenance manager avoids unnecessary repairs caused by false alarms and thus prolongs the life of the equipment, resulting in the improvement of parameters such as the MTBF, in a eMaintenance system.

sted, utgiver, år, opplag, sider
Luleå tekniska universitet, 2010. s. 227-233
HSV kategori
Forskningsprogram
Drift och underhållsteknik
Identifikatorer
URN: urn:nbn:se:ltu:diva-38327Lokal ID: caefaea0-aec5-11df-a707-000ea68e967bISBN: 978-91-7439-120-6 (digital)OAI: oai:DiVA.org:ltu-38327DiVA, id: diva2:1011827
Konferanse
International Workshop and Congress on eMaintenance : 22/06/2010 - 24/06/2010
Merknad
Godkänd; 2010; 20100823 (ysko)Tilgjengelig fra: 2016-10-03 Laget: 2016-10-03 Sist oppdatert: 2017-11-25bibliografisk kontrollert

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