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Nonparametric identificationof stiffness and damping in nonlinear machining systems
KTH, Skolan för industriell teknik och management (ITM), Industriell produktion. (Maskin och processteknologi)ORCID-id: 0000-0001-9185-4607
KTH, Skolan för industriell teknik och management (ITM), Industriell produktion. (Maskin och processteknologi)
2013 (engelsk)Inngår i: / [ed] Andreas Archenti, Antonio Maffei, 2013, s. 317-327Konferansepaper, Publicerat paper (Fagfellevurdert)
Abstract [en]

The demand for enhanced performance of production systems in terms of quality, cost and reliability is ever increasing while, at the same time, there is a demand for shorter design cycles, longer operating life, minimisation of inspection and maintenanceneeds. Experimental testing and system identification in operational conditions still represent an important technique for monitoring, control and optimization. The term identification refers in the present paper to theextraction of information from experimental data and is used to estimate operational dynamic parameters for machining system. Such approach opens up the possibility of monitoring the dynamics of machining system during operational conditions, and to be used for control and/or predictive purposes

sted, utgiver, år, opplag, sider
2013. s. 317-327
Emneord [en]
machining systems, self-excited vibrations, operational dynamic parameters
HSV kategori
Forskningsprogram
SRA - Produktion
Identifikatorer
URN: urn:nbn:se:kth:diva-136747ISBN: 978-91-7501-893-5 (tryckt)OAI: oai:DiVA.org:kth-136747DiVA, id: diva2:677020
Konferanse
International Conference on Advanced Manufacturing Engineering and Technologies NEWTECH 2013; Stockholm, Sweden, 27-30 October 2013
Forskningsfinansiär
XPRES - Initiative for excellence in production research
Merknad

QCR 20160622

Tilgjengelig fra: 2013-12-09 Laget: 2013-12-09 Sist oppdatert: 2016-06-22bibliografisk kontrollert

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Totalt: 324 treff
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