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Applications of Extreme Value Theory in Corrosion Engineering
In the context of corrosion engineering it is often natural to be concerned with extreme events. This is because, firstly, it is these extreme events that often lead to failure and, secondly, it may only be possible to measure the extremes, with much of the underlying measurements by their very natu...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
[Gaithersburg, MD] : U.S. Dept. of Commerce, National Institute of Standards and Technology
1994
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8345290/ https://www.ncbi.nlm.nih.gov/pubmed/37405284 http://dx.doi.org/10.6028/jres.099.028 |
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author | Scarf, Philip A. Laycock, Patrick J. |
author_facet | Scarf, Philip A. Laycock, Patrick J. |
author_sort | Scarf, Philip A. |
collection | PubMed |
description | In the context of corrosion engineering it is often natural to be concerned with extreme events. This is because, firstly, it is these extreme events that often lead to failure and, secondly, it may only be possible to measure the extremes, with much of the underlying measurements by their very nature unobservable Statistical methods relating to extreme value theory can be used to model and predict the statistical behaviour of extremes such as the largest pit, thinnest wall, maximum penetration or similar assessment of a corrosion phenomenon. These techniques can be applied to the single largest value, or to a given number of the largest values, measured over individual areas or coupons; or to all values exceeding a given threshold. The data can be modeled to account for dependence on environmental conditions, surface area examined, and the duration of exposure or of experimentation. The application of a selection of these techniques is demonstrated on data from industry and from laboratory experiments. |
format | Online Article Text |
id | pubmed-8345290 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 1994 |
publisher | [Gaithersburg, MD] : U.S. Dept. of Commerce, National Institute of Standards and Technology |
record_format | MEDLINE/PubMed |
spelling | pubmed-83452902023-07-03 Applications of Extreme Value Theory in Corrosion Engineering Scarf, Philip A. Laycock, Patrick J. J Res Natl Inst Stand Technol Article In the context of corrosion engineering it is often natural to be concerned with extreme events. This is because, firstly, it is these extreme events that often lead to failure and, secondly, it may only be possible to measure the extremes, with much of the underlying measurements by their very nature unobservable Statistical methods relating to extreme value theory can be used to model and predict the statistical behaviour of extremes such as the largest pit, thinnest wall, maximum penetration or similar assessment of a corrosion phenomenon. These techniques can be applied to the single largest value, or to a given number of the largest values, measured over individual areas or coupons; or to all values exceeding a given threshold. The data can be modeled to account for dependence on environmental conditions, surface area examined, and the duration of exposure or of experimentation. The application of a selection of these techniques is demonstrated on data from industry and from laboratory experiments. [Gaithersburg, MD] : U.S. Dept. of Commerce, National Institute of Standards and Technology 1994 /pmc/articles/PMC8345290/ /pubmed/37405284 http://dx.doi.org/10.6028/jres.099.028 Text en https://creativecommons.org/publicdomain/zero/1.0/The Journal of Research of the National Institute of Standards and Technology is a publication of the U.S. Government. The papers are in the public domain and are not subject to copyright in the United States. Articles from J Res may contain photographs or illustrations copyrighted by other commercial organizations or individuals that may not be used without obtaining prior approval from the holder of the copyright. |
spellingShingle | Article Scarf, Philip A. Laycock, Patrick J. Applications of Extreme Value Theory in Corrosion Engineering |
title | Applications of Extreme Value Theory in Corrosion Engineering |
title_full | Applications of Extreme Value Theory in Corrosion Engineering |
title_fullStr | Applications of Extreme Value Theory in Corrosion Engineering |
title_full_unstemmed | Applications of Extreme Value Theory in Corrosion Engineering |
title_short | Applications of Extreme Value Theory in Corrosion Engineering |
title_sort | applications of extreme value theory in corrosion engineering |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8345290/ https://www.ncbi.nlm.nih.gov/pubmed/37405284 http://dx.doi.org/10.6028/jres.099.028 |
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