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基于神经网络的腐蚀建模不钢316L肘部使用电场映射数据

Azhar M Memon1, Imil Hamda Imran2, Luai M Alhems3

  • 1Applied Research Center for Metrology, Standards, and Testing, Research Institute, King Fahd University of Petroleum and Minerals, Dhahran, 31261, Saudi Arabia. azhar.memon@kfupm.edu.sa.

Scientific reports
|August 11, 2023
PubMed
概括

这项研究使用人工神经网络 (ANN) 建模了不钢316L腐蚀. 该方法准确地预测盐水环境中的墙壁厚度损失,使工业资产的预测性维护成为可能.

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