Deep learning application for monitoring degradation in nuclear safety systems

IF 2.2 4区工程技术 Q2 ENGINEERING, CIVIL

European Journal of Environmental and Civil Engineering Pub Date : 2024-09-01 DOI:10.1080/19648189.2024.2391944

Harleen Kaur Sandhu, Serena Sauers, Saran Srikanth Bodda, Abhinav Gupta

引用次数: 0

Abstract

The safe operation of nuclear power plants relies on maintaining the structural integrity of various systems and components, such as equipment-piping systems. Ageing and degradation from flow-accel...

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深度学习在监测核安全系统退化方面的应用

核电站的安全运行有赖于保持设备管道系统等各种系统和部件的结构完整性。流量加速造成的老化和降解会影响核电站的安全运行。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

European Journal of Environmental and Civil Engineering ENGINEERING, CIVIL-ENGINEERING, GEOLOGICAL

CiteScore

4.80

自引率

4.80%

发文量

153

审稿时长

6 months

期刊介绍： The European Research Area has now become a reality. The prime objective of the EJECE is to fully document advances in International scientific and technical research in the fields of sustainable construction and soil engineering. In particular regard to the latter, the environmental preservation of natural media (soils and rocks) and the mitigation of soil-related risks are now not only major societal challenges, but they are also the source of scientific and technical developments that could be extremely beneficial.