Reinforcement learning (RL) represents a paradigm shift in process control, offering adaptive and data‐driven strategies for the management and optimisation of complex industrial processes. By ...

When it comes to process-control systems, reliability is crucial and failure can be costly or dangerous. A combination of good design practices, component selection, and testing can enhance ...

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 ...

Embedding Methodology in the Control System of a Plant Increases Its Utility Biotech processes should be standardized as much as possible to produce optimum product yields. On-line off-gas analysis is ...

Currently, bioprocess monitoring and control systems rely on infrequent and time-consuming offline sampling methods. This can lead to loopholes in data and major gaps in knowledge, as well as ...

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 ...

Vacuum degassing processes in low carbon steel production improve material properties, with real-time gas analysis critical ...