Damage Characterization of Composite Structures Using Difference Peak Signal-to-Noise Ratio as a Function of Variable Wavelets (ΔPSNR-ΔW)

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ISSN Print: 1947-3931
ISSN Online: 1947-394X
www.scirp.org/journal/eng
E-mail: eng@scirp.org

"Damage Characterization of Composite Structures Using Difference Peak Signal-to-Noise Ratio as a Function of Variable Wavelets (ΔPSNR-ΔW)"
written by Mahmoud Zaki Iskandarani,
published by Engineering, Vol.8 No.4, 2016

has been cited by the following article(s):

[1]	Data encoding and reconstruction of thermal imaging maps of impact damaged composite Structures using feature space and neural networks
	2019

[2]	A proper lifting scheme wavelet transform for vibration-based damage identification in composite laminates
	Journal of Thermoplastic Composite Materials, 2017

[3]	Damage detection in laminated composite plates via an optimal wavelet selection criterion
	Journal of Reinforced Plastics and Composites, 2016

[1]	Data encoding and reconstruction of thermal imaging maps of impact damaged composite Structures using feature space and neural networks MATEC Web of Conferences, 2019 DOI:10.1051/matecconf/201929203008

[2]	A proper lifting scheme wavelet transform for vibration-based damage identification in composite laminates Journal of Thermoplastic Composite Materials, 2018 DOI:10.1177/0892705717718239

[3]	A proper lifting scheme wavelet transform for vibration-based damage identification in composite laminates Journal of Thermoplastic Composite Materials, 2017 DOI:10.1177/0892705717718239

[4]	Damage detection in laminated composite plates via an optimal wavelet selection criterion Journal of Reinforced Plastics and Composites, 2016 DOI:10.1177/0731684416667563

[5]	Damage detection in laminated composite plates via an optimal wavelet selection criterion Journal of Reinforced Plastics and Composites, 2016 DOI:10.1177/0731684416667563

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