Enhanced oxy-fuel combustion monitoring in FCC regenerators through deep learning and sensor drift compensation

Key Points

• Improved monitoring of oxy-fuel combustion significantly enhances operational efficiency in regenerators.
• The method employs deep learning to analyze combustion data, resulting in better accuracy of combustion metrics.
• Addressing sensor drift compensates for inaccuracies, increasing the reliability of the monitoring system.
• Finding indicates a need for advanced monitoring solutions in industrial environments to optimize processes.