2015
DOI: 10.1016/j.ceramint.2015.06.083
|View full text |Cite
|
Sign up to set email alerts
|

Characterisation, significance and detection of manufacturing defects in Reaction Sintered Silicon Carbide armour materials

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1
1

Citation Types

0
8
0
2

Year Published

2018
2018
2021
2021

Publication Types

Select...
5
3

Relationship

0
8

Authors

Journals

citations
Cited by 38 publications
(10 citation statements)
references
References 5 publications
0
8
0
2
Order By: Relevance
“…Among the various methods used to extract features in the NDT signal processing, most success reports relate to the use of wavelet transform (Liu et al 2013, Farley et al 2012, Acciani et al 2010, Barry et al 2015, Crouch et al 2015, Duda et al 2001, Vejdannik and Sadr 2016d. In fact, due to the properties of most NDT signals (these signals are non-stationary) which often led to the distribution of information at specific resolution levels, energy is often concentrated in a small number of samples.…”
Section: 3features Extraction Methodsmentioning
confidence: 99%
See 1 more Smart Citation
“…Among the various methods used to extract features in the NDT signal processing, most success reports relate to the use of wavelet transform (Liu et al 2013, Farley et al 2012, Acciani et al 2010, Barry et al 2015, Crouch et al 2015, Duda et al 2001, Vejdannik and Sadr 2016d. In fact, due to the properties of most NDT signals (these signals are non-stationary) which often led to the distribution of information at specific resolution levels, energy is often concentrated in a small number of samples.…”
Section: 3features Extraction Methodsmentioning
confidence: 99%
“…But depending on the signal and the specific features that it has, each of these classifiers can achieve better result. For example, each of the MLP, RBF (Su et al 2013), PNN, FCM (Karray and De Silva 2004), SVM, OPF (Nunes et al 2013), LDA (Crouch et al 2015) and Bayesian (Nunes et al 2013, Bustillo et al 2014a classifiers can, in turn, have successful results by taking into account the characteristics of their classes. However, the reports obtained in (Nunes et al 2013) demonstrate that the Bayesian classifier has a higher accuracy than the OPF, and the OPF classifier provides a higher accuracy than the SVM classifier.…”
Section: 5classification Methodsmentioning
confidence: 99%
“…O desenvolvimento de blindagens cerâmicas tornou os sistemas de proteção mais leves e eficientes em comparação com as blindagens metálicas convencionais [1][2][3]. As blindagens cerâmicas geralmente são compostas por duas partes: uma camada de cerâmica apoiada e uma placa de apoio metálica (liga de alumínio ou aço) ou um polímero reforçado com fibra [4]. A cerâmica constitui a primeira camada da armadura, sua função é fragmentar o projétil e absorver a energia inicial do impacto.…”
Section: Introductionunclassified
“…Over the last several years, ceramic materials have been used more frequently in various industrial sectors, including the medical (femoral heads and acetabular cups for total hip replacement, dental implants and restorations, bone fillers and scaffolds for tissue engineering), 1 automotive (knock sensors, oxygen sensors, exhaust gas catalysts, and silicon nitride parts for automotive engines), 2 or military (opaque and transparent armors). 3,4 These materials are primarily oxide ceramics [5][6][7] as well as some non-oxide ceramics, such as carbides, nitrides, borides, or a combination of these. [8][9][10][11] In terms of the price-performance ratio, one of the most cost-effective ceramic materials is alumina.…”
Section: Introductionmentioning
confidence: 99%