Machine Learning Approaches for Phase Identification Using Process Variables in Batch Processes

Specialty and fine chemicals are often manufactured in multipurpose batch production plants. Compared to continuous production, these plants offer increased flexibility at the cost of operational complexity. A recipe defines sequence process parameters different phases that needed transform raw materials into desired product. In some detailed information about executed is not always captured by data acquisition systems. Knowledge essential for optimizing quality throughput. State-of-the-art data-driven machine learning techniques can recognize recurrent patterns noisy time series data, enabling automatic labeling based on widely available sensor data. this review paper, we provide an overview several approaches be used industrial setting.