Crystallization is one of the important unit operations for the separation and purification of
solid products in the chemical, pharmaceutical, and pesticide industries, especially for …

In situ monitoring and closed‐loop control of the solution crystallization process are the
modern trends for pharmaceutical development, in which the critical process parameters …

Deep learning methods based on supervised learning have various applications in chemical
process fault detection and diagnosis (FDD). However, these methods as black boxes are …

This study proposes the expert label that incorporates specific process knowledge into
sample labels to enhance the explainability of diagnostic results. Traditional sample label is …

Background Fault diagnosis rate (FDR) and fault diagnosis timeliness (FDT) are critical to a
fault diagnosis model applied to industrial processes. Generally, high FDR requires process …

This study explores the process intensification techniques and process control strategies on
the product properties optimization. α-PABA, a long needle-like shape, can cause problems …

Luminescent thermometry is a noninvasive method of temperature detection with high
sensitivity and response speed. The present study demonstrated the process‐intensified …

Due to the dynamic interactions of various crystallization phenomena, crystallization
processes are notoriously difficult to control. In some applications, supersaturation control is …

The growing demand for enantiomerically pure chiral materials has prompted the
exploration of innovative enantiomer separation techniques. Coupled-vessels temperature …

A novel feedback control strategy by semi-batch implementation for cooling crystallization is
proposed, in which the supersaturation is controlled by manipulating the feed flow rate of the …