With the advent of Industry 4.0, the automation and monitoring of manufacturing and process
industries became a necessary requirement. The estimation of the plant working process …

In process industries, there is a great demand for additional process information such as the
product quality level or the exact process state estimation. At the same time, there is a large …

Soft Sensors (SSs) are inferential dynamical models employed in industries to perform
prediction of process hard-to-measure variables based on their relation with easily …

Data-driven soft sensors are inferential models that use on-line available sensors (eg
temperature, pressure, flow rate, etc) to predict quality variables which cannot be …

Soft (software) sensors are widely used in modern industrial manufacturing and processing
units due to their advantages over traditional only hardware-based sensing devices. They …

Increasing demands for on-line monitoring and control of industrial processes and their
associated variables, and the limitations of the available measuring systems have led to the …

Present contribution discusses the application of soft sensing in the process industry, as an
indirect monitoring technique for the on-line assessment of non-accessible process …

Automatic data acquisition systems provide large amounts of streaming data generated by
physical sensors. This data forms an input to computational models (soft sensors) routinely …

In the last two decades Soft Sensors established themselves as a valuable alternative to the
traditional means for the acquisition of critical process variables, process monitoring and …

It is often difficult or expensive to directly measure product properties or qualities in real time,
and soft sensors provide a way to infer critical process variables for process monitoring and …