Papermaking industry can hardly monitor the dynamic of certain variables in the process
when the test can only be conducted offline or destroy samples. Soft sensor is a predictive …

The food industry needs tools to improve the efficiency of their production processes by
minimizing waste, detecting timely potential process issues, as well as reducing the efforts …

Background The study explores the challenges of handling multiblock data of different
natures (process and NIR sensors) for on-line quality prediction in a full-scale plant …

This study investigates the use of Raman spectroscopy fused with other types of data (eg,
pH, temperature and turbidity) for multivariate statistical process control of two …

The precise and prompt determination of quality control indicators such as moisture, stilbene
glycosides, and anthraquinone glycosides is crucial in assessing the quality of Polygoni …

Sensor data fusion analysis plays a pivotal role in a variety of fields by integrating data from
multiple sensors to produce more accurate, reliable, and comprehensive information than …

In the petrochemical industry, in order to control the final product quality over time and to
detect potential plant failures, the amount of lab (off-line) analysis performed every day is …