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Machine tool and process condition monitoring using Poincaré maps
University West, Department of Engineering Science, Division of Production Engineering. (PTW)ORCID iD: 0000-0002-3436-3163
University West, Department of Engineering Science, Division of Production Engineering. (PTW)
University West, Department of Engineering Science, Division of Production Engineering. (PTW)ORCID iD: 0000-0003-1408-2249
2010 (English)In: COMA'10, International Conference on Competitive Manufacturing: Stellenbosch, South Africa, 3-5 February 2010, 2010Conference paper, Published paper (Other academic)
Place, publisher, year, edition, pages
2010.
National Category
Materials Engineering
Research subject
ENGINEERING, Manufacturing and materials engineering
Identifiers
URN: urn:nbn:se:hv:diva-2430OAI: oai:DiVA.org:hv-2430DiVA, id: diva2:315958
Available from: 2010-04-29 Created: 2010-04-29 Last updated: 2016-02-09Bibliographically approved
In thesis
1. Condition monitoring of machine tools and machining processes using internal sensor signals
Open this publication in new window or tab >>Condition monitoring of machine tools and machining processes using internal sensor signals
2010 (English)Licentiate thesis, comprehensive summary (Other academic)
Publisher
p. 132
Series
Licentiate Thesis in Production Engineering KTH, Stockholm, ISSN 1650-1888
Keywords
Conditional monitoring, machine tool, machining process, milling, position encoders, signal analysis
National Category
Materials Engineering
Research subject
ENGINEERING, Manufacturing and materials engineering
Identifiers
urn:nbn:se:hv:diva-2431 (URN)978-91-7415-600-3 (ISBN)
Presentation
(English)
Available from: 2010-04-29 Created: 2010-04-29 Last updated: 2016-02-09Bibliographically approved

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Repo, JariPejryd, Lars

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