Case Studies & Resources
AI/ML
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 monitored. Identifying the...
AI/ML
Supervised vs Unsupervised Learning
In AI/ML domain, model development approaches can be segregated as "supervised" or "unsupervised". In supervised learning approach the...
AI/ML
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 can be really helpful....
AI/ML, System Modeling
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...
AI/ML
Fault Detection & Classification using Machine Learning
In process & manufacturing applications identifying the onset of system abnormality / failure at the earliest is very crucial. Models which help in determining ...
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AI/ML
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 break-down event. So plants alw...
CFD
Velocity non-uniformity issue inside Electro-static precipitators (ESP)
Electro-Static Precipitators (ESPs) remove particulate matter from a gas stream by a series of corona generating electrodes and collector...
CFD
CFD Analysis of Cyclone Separators
Blog Summary Cyclone separators are prevalent in process industries for separating oil droplets or dust particles from gases. hese work on the principle that ce...