Abstract: When all process variables are used to establish one data-based model, some variables have little contributions to the model. When these variables are grouped into a small local variable set ...

In today's competitive environment, process industry companies are focused on two key objectives: profitability and delivering value to customers. However, these objectives are often disparate goals ...

Before you can design quality into any process, there’s a moment where you need to step beyond mapping the workflow. Knowing what happens is good, but knowing why things happen the way they do is ...

Abstract: Soft sensors have been extensively developed to estimate the difficult-to-measure quality variables for real-time process monitoring and control. Process nonlinearities and dynamics are two ...

Refractance window (RW) drying is considered an emerging technique in the food field due to its scalability, energy efficiency, cost and end-product quality. It can be used for obtaining flakes from ...

If you're on your digital transformation journey and have moved beyond the initial stages, you’re likely at the point where a Plant-wide Information Management System (PIMS) and historian are in place ...

This project analyzes the SECOM semiconductor manufacturing dataset to identify process variables associated with manufacturing failures. The dataset is high-dimensional and strongly imbalanced, ...

Volumetric flow, flow velocity and temperature measurement – three of the most important variables which help to ensure efficient process control. So, wouldn’t it be convenient if you could measure ...

Based on a systematic review, 19 case studies were selected, focusing on the production of biochar through pyrolysis of five lignocellulosic biomasses (olive husk, beech wood, corncob, spruce wood, ...