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 ...

Manufacturing process controls include all systems and software that exert control over production processes. Control systems include process sensors, data processing equipment, actuators, networks to ...

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 ...

At some point in our lives, we have dropped a drinking glass or knocked over a glass-blown knickknack, only to watch it hit the floor and shatter into pieces. We learn from any early age that glass is ...

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 ...

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 ...

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 ...

Coal-fired power plants can significantly improve wet limestone scrubbing with advanced process control. One optimization system implemented at a Japanese facility utilized enhanced regulatory control ...

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 ...

Across the semiconductor industry, both FD-SOI and finFET transistor technologies are in high volume production, with IC manufacturers looking to extend both technologies to gain additional ...

Fuzzy control charts represent a significant evolution in Statistical Process Control (SPC) by addressing intrinsic uncertainties in measurement and human evaluation that classical approaches often ...