Data-driven soft sensing refers to the use of statistical and machine-learning techniques to infer critical process variables that are difficult, costly or time-consuming to measure directly. By ...
The two most common categories of process responses in industrial manufacturing processes are self-regulating and integrating. A self-regulating process response to a step input change is ...
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