首页> 外文期刊>Network Daily News >New Findings from Harbin Institute of Technology in the Area of Structural Health Monitoring Published (Pitting corrosion prediction based on electromechanical impedance and convolutional neural networks)
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New Findings from Harbin Institute of Technology in the Area of Structural Health Monitoring Published (Pitting corrosion prediction based on electromechanical impedance and convolutional neural networks)

机译:哈尔滨工业大学结构健康监测领域新成果发表(基于机电阻抗和卷积神经网络的点蚀预测)

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摘要

By a News Reporter-Staff News Editor at Network Daily News – Data detailedon structural health monitoring have been presented. According to news reporting out of Shenzhen,People’s Republic of China, by NewsRx editors, research stated, “Corrosion induced thickness loss inmetallic structures is a common and crucial problem in multiple industries. Therefore, it is important toaccurately monitor the corrosion amount of the structure.”
机译:由一个新闻记者在网络新闻编辑每日新闻》,详细的数据监控已经提出。报告的深圳,中国NewsRx编辑、研究说,“腐蚀引起的厚度损失结构是一种常见的和重要的问题多个行业。来结构。”

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    《Network Daily News》 |2022年第26期|72-73|共2页
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