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What is Alarm Prediction in Industrial Processes about?
This paper presents a study on alarm prediction and classification in industrial processes using supervised machine learning techniques, specifically focusing on a case study in an Algerian gas plant. The authors developed a Random Forest model that outperformed other classifiers in accuracy (98.32%) and F1-Score (0.988), while addressing the challenges of alarm floods that hinder operator response during critical situations. The findings highlight the potential of machine learning to enhance alarm manageme
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- adityasptr.work
- Language
- EN