Stress wave evaluation by accelerometer and acoustic emission sensor for thermally modified wood classification using three types of neural networks-Reference-Cited by-同舟云学术

Stress wave evaluation by accelerometer and acoustic emission sensor for thermally modified wood classification using three types of neural networks

Published:2018-11-22 Issue:1 Volume:77 Page:45-55
ISSN:0018-3768
Container-title:European Journal of Wood and Wood Products
language:en
Short-container-title:Eur. J. Wood Prod.

Author:

Nasir Vahid^ORCID,Nourian Sepideh,Avramidis Stavros,Cool Julie

Publisher

Springer Science and Business Media LLC

Subject

General Materials Science,Forestry

Link

http://link.springer.com/article/10.1007/s00107-018-1373-1/fulltext.html

Reference22 articles.

1. Bächle H, Zimmer B, Wegener G (2012) Classification of thermally modified wood by FT-NIR spectroscopy and SIMCA. Wood Sci Technol 46(6):1181–1192

2. Brischke C, Welzbacher CR, Brandt K, Rapp AO (2007) Quality control of thermally modified timber: Interrelationship between heat treatment intensities and CIE L* a* b* color data on homogenized wood samples. Holzforschung 61(1):19–22

3. Del Menezzi CHS, Amorim MR, Costa MA, Garcez LR (2014) Evaluation of thermally modified wood by means of stress wave and ultrasound nondestructive methods. Mater Sci 20(1):61–66

4. Diakhate M, Angellier N, Pitti RM, Dubois F (2017) On the crack tip propagation monitoring within wood material: Cluster analysis of acoustic emission data compared with numerical modelling. Constr Build Mater 156:911–920

5. Du X, Li S, Li G, Feng H, Chen S (2015) Stress wave tomography of wood internal defects using ellipse-based spatial interpolation and velocity compensation. BioResources 10(3):3948–3962

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