登录 注册 会员服务 联系我们

Artificial neural network models for predicting condition of offshore oil and gas pipelines

  • Published:2014-09 Issue: Volume:45 Page:50-65
  • ISSN:0926-5805
  • Container-title:Automation in Construction
  • language:en
  • Short-container-title:Automation in Construction

Author:

El-Abbasy Mohammed S.,Senouci Ahmed,Zayed Tarek,Mirahadi Farid,Parvizsedghy Laya

Publisher

Elsevier BV

Subject

Building and Construction,Civil and Structural Engineering,Control and Systems Engineering

Reference41 articles.

1. Probabilistic estimation of remaining life of a pipeline in the presence of active corrosion defects;Ahammed;Int. J. Press. Vessel. Pip.,1998

2. Condition rating model for underground infrastructure sustainable water mains;Al-Barqawi;ASCE J. Perform. Constr. Facil.,2006

3. Leak detection in liquefied gas pipelines by artificial neural networks;Belsito;Am. Inst. Chem. Eng. J.,1998

4. Accident occurence evaluation in the pipeline transport dangerous goods;Bersani;Chem. Eng. Trans.,2010

5. Methodology and theory oil pipeline cause analysis a classification tree approach;Bertolini;J. Qual. Maint. Eng.,2006
同舟云学术

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