Case Studies & Resources

Machine Learning can help in process monitoring in various ways. In a typical process plant there are many process variable are to be...

In AI/ML domain, model development approaches can be segregated as "supervised" or "unsupervised". In supervised learning approach the...

In process and manufacturing industries it is not always feasible to measure every variables of interest. In those scenarios soft sensors...

There are techniques in AI/ML to solve all of the above challenges. For example Recurrent Neural Network (RNN) can be used to process the...

In process & manufacturing applications identifying the onset of system abnormality / failure at the earliest is very crucial. Models...

Unplanned down times and shut-downs, one of the major challenges industries face when disruptions happen due to an unanticipated...

Electro-Static Precipitators (ESPs) remove particulate matter from a gas stream by a series of corona generating electrodes and collector...

Cyclone separators are prevalent in process industries for separating oil droplets or dust particles from gases. These work on the...