Zobrazeno 1 - 10
of 61
pro vyhledávání: '"Peter W. Haycock"'
The degradation of roads is an expensive problem: in the United Kingdom alone, £27 billion was spent on road repairs between 2013 and 2019. One potential cost-saver is the early, non-destructive detection of faults. There are many available techniqu
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8997c14cc47c88120d9d4bcc64170526
https://eprints.keele.ac.uk/10643/7/14759217221080718.pdf
https://eprints.keele.ac.uk/10643/7/14759217221080718.pdf
Publikováno v:
IJCNN
The cost of maintaining and repairing the world’s ageing reinforced concrete infrastructure continues to increase,\ud and is expected to cost the United States economy alone $58\ud billion by 2020. Consequently, the use of non-destructive testing t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::047c8a22bc41b5a394fff56c6d64f17b
https://eprints.keele.ac.uk/9052/1/woottondayhaycockfinal.pdf
https://eprints.keele.ac.uk/9052/1/woottondayhaycockfinal.pdf
Publikováno v:
Journal of the European Ceramic Society. 38:2202-2209
Failure mechanisms in AZS materials from the regenerators of two float glass furnaces are presented. Results of a post-mortem examination of materials are used to identify the physical and chemical changes during service. Methods used include bulk de
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1dd5a5cd2715fd71de567cb99dddd7a9
https://doi.org/10.1016/j.jeurceramsoc.2017.12.006
https://doi.org/10.1016/j.jeurceramsoc.2017.12.006
Publikováno v:
Cognitive Computation. 9:391-399
Static pattern recognition requires a machine to classify an object on the basis of a combination of attributes and is typically performed using machine learning techniques such as support vector machines and multilayer perceptrons. Unusually, in thi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5e3d6b5fc99ecf1095c6065cc3ffb632
https://doi.org/10.1007/s12559-017-9468-2
https://doi.org/10.1007/s12559-017-9468-2
Echo State Networks (ESNs) and a Nonlinear Auto-Regressive Moving Average model with eXogenous inputs (NARMAX) have been applied to multi-sensor time-series data arising from a test footbridge which has been subjected to multiple potentially damaging
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::441b336d9754121ed72a4ebb171c3295
https://eprints.keele.ac.uk/3707/1/EAAI_resubmission_final.pdf
https://eprints.keele.ac.uk/3707/1/EAAI_resubmission_final.pdf
Autor:
Benjamin Schrauwen, Charles R. Day, James C. Austin, Peter W. Haycock, John B. Butcher, David Verstraeten
Publikováno v:
Computer-Aided Civil and Infrastructure Engineering. 29:191-207
This article discusses how detecting defects within reinforced concrete is vital to the safety and durability of infrastructure. A non-invasive technique, ElectroMagnetic Anomaly Detection (EMAD) is used in this article to provide information into th
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2efb9435d668e54fafccc26e30043bc3
https://doi.org/10.1111/mice.12039
https://doi.org/10.1111/mice.12039
Publikováno v:
Neural Networks. 38:76-89
Random projection architectures such as Echo state networks (ESNs) and Extreme Learning Machines (ELMs) use a network containing a randomly connected hidden layer and train only the output weights, overcoming the problems associated with the complex
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b55f4b8a37962cf867c32b93e19a3b25
https://doi.org/10.1016/j.neunet.2012.11.011
https://doi.org/10.1016/j.neunet.2012.11.011
Publikováno v:
Insight - Non-Destructive Testing and Condition Monitoring. 52:140-143
X-radiography using the bremsstrahlung of a commercial broad spectrum X-ray source was used to quantify the differences and relationships between complex samples of unknown composition. The samples examined were painted and glazed ceramic mugs. The r
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::28650a936ec5d1a1cba974b08bfadc45
https://doi.org/10.1784/insi.2010.52.3.140
https://doi.org/10.1784/insi.2010.52.3.140
Publikováno v:
NDT & E International. 42:446-451
In this article, we report on the application of neural networks to the problem of making an element-specific determination of unknown metal targets based on the characteristics of their transmitted X-ray signatures. Our method was applied to two gro
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c5165ee90581429ead4671cfc6746c8c
https://doi.org/10.1016/j.ndteint.2009.02.005
https://doi.org/10.1016/j.ndteint.2009.02.005
Publikováno v:
Insight - Non-Destructive Testing and Condition Monitoring. 50:550-553
This article reports on the employment of X-radiography using the bremsstrahlung of a commercial broad-.spectrum X-ray source to quantify the differences and relationships between complex materials of unknown composition. The materials examined were
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e030150b79ff64ea71f7aa6b8dff8f0d
https://doi.org/10.1784/insi.2008.50.10.550
https://doi.org/10.1784/insi.2008.50.10.550