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Data processing method for evaluating pipe wall thinning in nuclear secondary systems using SVM regression algorithm

Nuclear power plants have been experiencing continuous pipe wall thinning in carbon steel materials used in the secondary system, potentially leading to pipe rupture. To prevent the sudden pipe rupture caused by this thinning, pipe thinning management programs have been conducted which include perio...

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Hlavní autoři: Seongbin Mun, Young-jin Oh, Sanghoon Lee
Médium: Artigo
Jazyk:Inglês
Vydáno: Elsevier 2025-07-01
Edice:Nuclear Engineering and Technology
Témata:
Pipe wall thickness
Pipe wall thinning
Measurement error
Data processing
Kernel regression
Support vector machine regression
On-line přístup:http://www.sciencedirect.com/science/article/pii/S1738573325000853
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