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Updated: May 3, 2026

Predicting Catalyst Extrudate Breakage Based on the Modulus of Rupture
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通过象征性的贝叶斯网络对腐蚀管道进行物理可解释的残余强度预测

Menghan Chen1,2, Yuxuan Zhang3,4, Yanchen Ye5

  • 1College of Intelligent Science and Engineering, Beijing University of Agriculture, Beijing, China.

Scientific reports
|March 3, 2026
PubMed
概括

符号贝叶斯网络 (SyBN) 为腐蚀的管道提供可解释的剩余强度预测. 这种机器学习框架通过为关键基础设施安全提供透明,准确的模型来增强结构健康监测 (SHM).

关键词:
腐蚀的管道被腐蚀了可以解释的机器学习.预测剩余强度的预测结构性健康监测 结构性健康监测象征性的贝叶斯网络

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