In process automation, an alarm is defined as an audible and/or visible means of indicating to the operator an equipment malfunction, process deviation, or abnormal condition requiring an operator ...

Aim: To demonstrate the potential of in-line nanoparticle size measurements using the NanoFlowSizer (NFS) as a PAT method. To achieve real-time process control by establishing automated regulation of ...

The concept of hybrid AI in PM, highlighting the connections between the various components of hybrid AI tools for PSE (left), the four selected PM topics (middle), and examples of problems (right) ...

Compared to factory automation, process control places additional demands on communication technology. Process plants, which extend over wide areas, have a lifespan of 20+ years. They invariably run ...

Author Patrick Bouwman explains how his book, Fundamentals of Process Control: Principles and Concepts, helps up-and-coming automation professionals build a solid foundation. What inspired you to ...

Marcus Hoversland, a UW graduate and process engineer at HF Sinclair in Casper, interacts with UW students in an “Intro to Chemical Engineering” class. UW has received a generous investment from HF ...

The process control and instrumentation minor emphasizes developing skills and knowledge in theory, software and in the field. Students graduate ready to solve complex control problems in the chemical ...

Oscillation detection in process control systems remains of paramount importance in ensuring operational efficiency and maintaining product quality. The ability to accurately identify and characterise ...

How self-tuning can support an adaptive control strategy. How Model Reference Adaptive Control can improve adaptability. The different types of MRAC. A certain amount of flexibility is always good to ...

No one is suggesting that familiar physical interfaces or screens and keyboards in process industries are obsolete. However, the rapid evolution in voice processing, virtual reality, and artificial ...

Author Dr. R. Russell Rhinehart discusses his new book, Nonlinear Model-Based Control: Using First-Principles Models in Process Control, and explains why nonlinear first-principles models should be ...

Process control and simulation lie at the heart of modern industrial operations, enabling continuous monitoring, dynamic adjustment, and predictive optimisation of complex process systems.