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dc.contributor.author
Baensch, Franziska
dc.contributor.author
Sause, Markus G.R.
dc.contributor.author
Brunner, Andreas J.
dc.contributor.author
Niemz, Peter
dc.date.accessioned
2021-04-30T14:25:25Z
dc.date.available
2017-06-11T17:08:36Z
dc.date.available
2021-04-30T14:25:25Z
dc.date.issued
2015-03-27
dc.identifier.issn
0018-3830
dc.identifier.issn
1437-434X
dc.identifier.other
10.1515/hf-2014-0072
en_US
dc.identifier.uri
http://hdl.handle.net/20.500.11850/100326
dc.identifier.doi
10.3929/ethz-b-000100326
dc.description.abstract
Tensile tests on miniature spruce specimens have been performed by means of acoustic emission (AE) analysis. Stress was applied perpendicular (radial direction) and parallel to the grain. Nine features were selected from the AE frequency spectra. The signals were classified by means of an unsupervised pattern recognition approach, and natural classes of AE signals were identified based on the selected features. The algorithm calculates the numerically best partition based on subset combinations of the features provided for the analysis and leads to the most significant partition including the respective feature combination and the most probable number of clusters. For both specimen types investigated, the pattern recognition technique indicates two AE signal clusters. Cluster A comprises AE signals with a relatively high share of low-frequency components, and the opposite is true for cluster B. It is hypothesized that the signature of rapid and slow crack growths might be the origin for this cluster formation.
en_US
dc.format
application/pdf
en_US
dc.language.iso
en
en_US
dc.publisher
De Gruyter
en_US
dc.rights.uri
http://rightsstatements.org/page/InC-NC/1.0/
dc.subject
Acoustic emission
en_US
dc.subject
Crack growth
en_US
dc.subject
Damage evolution
en_US
dc.subject
Frequency spectrum
en_US
dc.subject
Microscopic damage mechanisms
en_US
dc.subject
Spruce
en_US
dc.subject
Unsupervised pattern recognition
en_US
dc.title
Damage evolution in wood - pattern recognition based on acoustic emission (AE) frequency spectra
en_US
dc.type
Journal Article
dc.rights.license
In Copyright - Non-Commercial Use Permitted
dc.date.published
2015-01-20
ethz.journal.title
Holzforschung
ethz.journal.volume
69
en_US
ethz.journal.issue
3
en_US
ethz.pages.start
357
en_US
ethz.pages.end
365
en_US
ethz.version.deposit
publishedVersion
en_US
ethz.notes
It was possible to publish this article open access thanks to a Swiss National Licence with the publisher.
en_US
ethz.identifier.wos
ethz.identifier.scopus
ethz.identifier.nebis
ethz.publication.place
Berlin
en_US
ethz.publication.status
published
en_US
ethz.date.deposited
2017-06-11T17:09:17Z
ethz.source
ECIT
ethz.identifier.importid
imp5936531f9551595245
ethz.ecitpid
pub:157389
ethz.eth
yes
en_US
ethz.availability
Open access
en_US
ethz.rosetta.installDate
2017-07-12T15:56:12Z
ethz.rosetta.lastUpdated
2024-02-02T13:36:12Z
ethz.rosetta.versionExported
true
ethz.COinS
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