A Novel Health Index Framework for Semiconductor Equipment using Multi-View Data

In semiconductor manufacturing, monitoring equipment status is vital in ensuring process stability and efficient equipment operation. Thus, there is an increasing need for a health index that can efficiently reflect the overall condition of the equipment as a unified metric. Previous studies have derived a health index based on real-time time-series data collected from single wafer processing, overlooking other significant perspectives essential for practical equipment monitoring. Parameters suc