top of page
Case Studies & Resources
AI/ML for Process Monitoring
Machine Learning can help in process monitoring in various ways. In a typical process plant there are many process variable are to be...
Supervised vs Unsupervised Learning
In AI/ML domain, model development approaches can be segregated as "supervised" or "unsupervised". In supervised learning approach the...
What is an AI powered Soft-Sensor?
In process and manufacturing industries it is not always feasible to measure every variables of interest. In those scenarios soft sensors...
White-box/Grey-box/Black-box models for Digital Twins
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...
Fault Detection & Classification using Machine Learning
In process & manufacturing applications identifying the onset of system abnormality / failure at the earliest is very crucial. Models...
Machine Learning (ML) making Predictive Maintenance actually "predictive"
Unplanned down times and shut-downs, one of the major challenges industries face when disruptions happen due to an unanticipated...
bottom of page