Machine Learning-based Regression and Classification Models for Oil Assessment of Power Transformers

著录项

• 来源
  《IEEE International Conference on Informatics, IoT, and Enabling Technologies》|2020年|400-403|共4页
• 会议地点 Doha(QA)
• 作者

  Neha Kamalraj Bhatia; Ayman H. El-Hag; Khaled Bashir Shaban;

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• 作者单位

  University of Waterloo Department of Electrical and Computer Engineering Ontario Canada;

  Qatar University Computer Science and Engineering Department Doha Qatar;

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• 会议组织
• 原文格式 PDF
• 正文语种
• 中图分类
• 关键词

  learning (artificial intelligence); pattern classification; power distribution reliability; power engineering computing; power generation reliability; power grids; power transformer insulation; regression analysis; surface tension; transformer oil;

  机译：学习（人工智能）;模式分类配电可靠性;动力工程计算;发电可靠性;电网;电力变压器绝缘;回归分析;表面张力;变压器油;