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Updated: Jan 12, 2026

Design and Application of a Fault Detection Method Based on Adaptive Filters and Rotational Speed Estimation for an Electro-Hydrostatic Actuator
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Published on: October 28, 2022

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基于模糊的AHP框架的机器学习和贝叶斯网络,用于过程单位的风险评估.

Hassan Mandali1, Elham Keighobadi2, Hossein Ebrahimi3

  • 1Department of Occupational Health Engineering, School of Public Health, Iran University of Medical Sciences, Tehran, Iran.

Scientific reports
|November 7, 2025
PubMed
概括

人工智能,包括像Random Forest和XGBoost这样的机器学习模型,增强了过程安全风险评估. 这些人工智能技术与贝叶斯网络和多标准决策 (MCDM) 相结合,有效地优先考虑减轻风险.

关键词:
贝叶斯网络 贝叶斯网络 是一个贝叶斯网络.哈佐普 (Hazop) 是一个恶人.在MCDM中,MCDM是MCDM.机器学习是机器学习.风险评估 风险评估 风险评估

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