Damage evolution in wood – pattern recognition based on acoustic emission (AE) frequency spectra
- Standort
-
Deutsche Nationalbibliothek Frankfurt am Main
- Umfang
-
Online-Ressource
- Sprache
-
Englisch
- Erschienen in
-
In: Holzforschung, 69, 3, S. 357-365
- Ereignis
-
Veröffentlichung
- (wo)
-
Augsburg, Berlin
- (wer)
-
Universität Augsburg, de Gruyter
- (wann)
-
2015
- Urheber
- DOI
-
10.1515/hf-2014-0072
- URN
-
urn:nbn:de:bvb:384-opus4-596509
- Rechteinformation
-
Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Letzte Aktualisierung
-
25.03.2025, 13:45 MEZ
Datenpartner
Dieses Objekt wird bereitgestellt von:
Deutsche Nationalbibliothek. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.
Deutsche Nationalbibliothek. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.
Beteiligte
- Baensch, Franziska
- Sause, Markus
- Brunner, Andreas J.
- Niemz, Peter
- Universität Augsburg, de Gruyter
Entstanden
- 2015
Ähnliche Objekte (12)
Identification of failure mechanisms in hybrid materials utilizing pattern recognition techniques applied to acoustic emission signals
![Identification of damage onset in CFRP laminates under tension-tension fatigue using acoustic emission analysis [Abstract]](/assets/placeholder/searchResultMediaUnknown.png)
Identification of damage onset in CFRP laminates under tension-tension fatigue using acoustic emission analysis [Abstract]
Quantification of the uncertainty of pattern recognition approaches applied to acoustic emission signals
Acoustic emission signal propagation in damaged composite structures
Finite Element Modelling of Cracks as Acoustic Emission Sources
Investigation of pencil-lead breaks as acoustic emission sources
Identification of failure mechanisms in hybrid materials utilizing pattern recognition techniques applied to acoustic emission signals
Modelling of crack growth based acoustic emission release in aluminum alloys
On use of signal features for acoustic emission source identification in fibre-reinforced composites
Comparison of predicted onset of failure mechanisms by nonlinear failure theory and by acoustic emission measurements
Pattern recognition approach to identify natural clusters of acoustic emission signals
Acoustic emission source localization by artificial neural networks
Identification of failure mechanisms in hybrid materials utilizing pattern recognition techniques applied to acoustic emission signals
Identification of damage onset in CFRP laminates under tension-tension fatigue using acoustic emission analysis [Abstract]
Quantification of the uncertainty of pattern recognition approaches applied to acoustic emission signals
Acoustic emission signal propagation in damaged composite structures
Finite Element Modelling of Cracks as Acoustic Emission Sources
Investigation of pencil-lead breaks as acoustic emission sources
Identification of failure mechanisms in hybrid materials utilizing pattern recognition techniques applied to acoustic emission signals
Modelling of crack growth based acoustic emission release in aluminum alloys
On use of signal features for acoustic emission source identification in fibre-reinforced composites
Comparison of predicted onset of failure mechanisms by nonlinear failure theory and by acoustic emission measurements
Pattern recognition approach to identify natural clusters of acoustic emission signals
Acoustic emission source localization by artificial neural networks
Identification of failure mechanisms in hybrid materials utilizing pattern recognition techniques applied to acoustic emission signals
Identification of damage onset in CFRP laminates under tension-tension fatigue using acoustic emission analysis [Abstract]
Quantification of the uncertainty of pattern recognition approaches applied to acoustic emission signals
Acoustic emission signal propagation in damaged composite structures
Finite Element Modelling of Cracks as Acoustic Emission Sources
Investigation of pencil-lead breaks as acoustic emission sources
Identification of failure mechanisms in hybrid materials utilizing pattern recognition techniques applied to acoustic emission signals
Modelling of crack growth based acoustic emission release in aluminum alloys
On use of signal features for acoustic emission source identification in fibre-reinforced composites
Comparison of predicted onset of failure mechanisms by nonlinear failure theory and by acoustic emission measurements
Pattern recognition approach to identify natural clusters of acoustic emission signals