Inferential sensing, or soft sensing, gained popularity in recent years as an alternative to
continuous emission monitoring systems because of its simplicity, reliability, and cost …

Inferential or soft sensing techniques have been gaining momentum recently as viable
alternatives to hardware sensors in various situations, eg continuous emission monitoring …

The oxygen content of the gas-fired boiler flue gas is used to monitor boiler combustion
efficiency. Conventionally, this oxygen content is measured using an oxygen content sensor …

For combustion processes, it is important to monitor gases such as NO, in exhaust streams.
Traditional approaches for such emission monitoring use analytical instruments, which are …

Abstract Industry 4.0 and Industrial Internet of Things (IIoT) technologies are rapidly fueling
data and software solutions driven digitalization in many fields notably in industrial …

This work deals with the design and implementation of soft sensors for a Sulfur Recovery
Unit (SRU) in a refinery. Soft sensors are mathematical models able to emulate the behavior …

The energy efficiency in the debutanizer reboiler combustion can be monitored from the
oxygen content of the flue gas of the reboiler. The measurement of the oxygen content can …

The design and application of Soft Sensors (SSs) in the process industry is a growing
research field, which needs to mediate problems of model accuracy with data availability …

Integrating post-combustion carbon capture and storage (CCS) facilities into fossil fuel
power plants is considered an important step for reaching global carbon emission reduction …

Soft sensing of quality/key variables is critical to the control and optimization of industrial
processes. One of the main drawbacks of data-driven soft sensors is to deal with the …