Zhenxiang Feng

Iron ore pellet firing temperature prediction and abnormality diagnosis based on interpretable machine learning

Accurate control of firing temperature is essential for quality, efficiency and energy consumption in iron ore pellet production. Traditional methods that rely on measured temperatures are limited by sparse measurement points, time lag and signal fluctuations. This study proposes...