Predicting the Crunchiness of a Chip
Textural properties of snack foods are essential to customer satisfaction but they are very difficult to measure on-line. Multivariate modelling of acoustical sensor data can be used to predict these important properties in real-time at low cost.
Carbon Prediction For a Basic Oxygen Furnace
ProSensus developed an image-based soft sensor to predict the carbon content in a basic oxygen furnace using multivariate analysis.
Lime Kiln Soft Sensor: Real Time MVA
Irving Pulp & Paper chose ProSensus to create a soft sensor to stabilize their lime kiln process. Using real-time process measurements and images from a camera in the kiln, ProSensus developed a soft sensor that predicted kiln temperature hours in advance.
Rapid Product Development of Polyolefins
Multivariate analysis (MVA) is a powerful tool that leading polyolefin companies use to gain powerful insights into their process and advance their product development efforts. ProSensus has the expertise to build global multi-block models that [...]
Rapid Product Development of Bioplastics
ProSensus worked with its client to select the right blending ratios and process conditions to achieve target properties in the final product while minimizing raw material costs. What are bioplastics? The term "bioplastics" is often [...]