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 this article, as in industry, advanced process control (APC) refers primarily to multi-variable control. Multivariable control means adjusting multiple single-loop controllers in unison, to meet ...

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 ...

Understanding how different units of an industrial production plant are operationally related is key to improving production quality and sustainability. Data science has proven indispensable in ...

Abstract: Root cause analysis helps industrial plant operators in finding possible root causes of alarms and their associated abnormalities, where one pre-requisite information is the set of ...

Statistical fault detection techniques are able to detect fault and diagnose root-cause(s) from the monitored process variables. For complex process operations, it is not feasible to screen all the ...

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 ...