Probabilistic evaluation of EMAR signals to evaluate pipe wall thickness and its application to pipe wall thinning management
Author:
Publisher
Elsevier BV
Subject
Mechanical Engineering,Condensed Matter Physics,General Materials Science
Reference28 articles.
1. Development of wall-thinning evaluation procedure for nuclear power plant piping -- Part 1: quantification of thickness measurement deviation;Yun;Nuclear Engineering and Technology,2016
2. Evaluation of flow accelerated corrosion by coupled analysis of corrosion and flow dynamics. Relationship of oxide film thickness, hematite/magnetite ratio, ECP and wall thinning rate;Uchida;Nucl Eng Des,2011
3. Predicting and preventing flow accelerated corrosion in nuclear power plant;Poulson;International Journal of Nuclear Energy 2014,2014
4. A review on pipeline corrosion, in-line inspection (ILI), and corrosion growth rate models;Vanaei;Int J Pres Ves Pip,2017
5. Predictive modelling of flow-accelerated corrosion – unresolved problems and issues;Betova,2010
Cited by 8 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献
1. Non-contact and non-invasive water level measurement outside metal pipes with electromagnetic acoustic resonance;Measurement;2025-01
2. A novel laser-EMAT ultrasonic longitudinal wave resonance method for wall thickness measurement at high temperatures;Ultrasonics;2024-07
3. Thickness Measurements with EMAT Based on Fuzzy Logic;Sensors;2024-06-22
4. Empirical model of flow-accelerated corrosion at elbow of carbon steel pipeline based on dimensional analysis;Annals of Nuclear Energy;2024-06
5. Improved machine learning leak fault recognition for low-pressure natural gas valve;Process Safety and Environmental Protection;2023-10
1.学者识别学者识别
2.学术分析学术分析
3.人才评估人才评估
"同舟云学术"是以全球学者为主线，采集、加工和组织学术论文而形成的新型学术文献查询和分析系统，可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容，当前同舟云学术共收录了国内外主流学术期刊6万余种，收集的期刊论文及会议论文总量共计约1.5亿篇，并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询！咨询电话：010-8811{复制后删除}0370
www.globalauthorid.com
TOP
Copyright © 2019-2024 北京同舟云网络信息技术有限公司 京公网安备11010802033243号 京ICP备18003416号-3