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Failure detection using support vector machine and artificial neural networks: a comparative study
Luleå University of Technology, Department of Civil, Environmental and Natural Resources Engineering, Operation, Maintenance and Acoustics.
Luleå University of Technology, Department of Civil, Environmental and Natural Resources Engineering, Operation, Maintenance and Acoustics.
Luleå University of Technology, Department of Civil, Environmental and Natural Resources Engineering, Operation, Maintenance and Acoustics.ORCID iD: 0000-0002-4107-0991
2011 (English)In: The Eighth International Conference on Condition Monitoring and Machinery Failure Prevention Technologies: St. David's Hotel, Cardiff, Wales, 20 - 22 June 2011 ; CM2011/MFPT2011, Longborough, Glos.: Coxmoor Publishing Co. , 2011, Vol. 1, p. 189-201Conference paper, Published paper (Refereed)
Place, publisher, year, edition, pages
Longborough, Glos.: Coxmoor Publishing Co. , 2011. Vol. 1, p. 189-201
National Category
Other Civil Engineering
Research subject
Operation and Maintenance
Identifiers
URN: urn:nbn:se:ltu:diva-27953Local ID: 192470e9-6ed6-4619-a1f0-d3902a144bd1ISBN: 978-1-901892-36-9 (electronic)OAI: oai:DiVA.org:ltu-27953DiVA, id: diva2:1001144
Conference
International Conference on Condition Monitoring and Machinery Failure Prevention Technologies : 20/06/2011 - 22/06/2011
Note
Godkänd; 2011; Bibliografisk uppgift: CD-ROM; 20110817 (ysko)Available from: 2016-09-30 Created: 2016-09-30 Last updated: 2017-11-25Bibliographically approved

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Fuqing, YuanKumar, UdayGalar, Diego

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