Chapter 10: Soft Sensors for NOx Emissions

Patrick BangertArtificial Intelligence Team, Samsung SDSA, San Jose, CA, United Statesalgorithmica technologies GmbH, Küchlerstrasse 7, Bad Nauheim, Germany


It is often difficult or expensive to measure a physical quantity with a regular sensor. Many sensors are fragile, especially in the harsh environments common in the oil and gas industry. The cost, both financial and in effort, to install and maintain a sensor over the long term can be entirely saved if it is possible to calculate the desired value, instead of measuring it. This calculation is called a soft sensor and can be based on known formulas or a machine learned model. In this chapter, we investigate the creation of a soft sensor for ...

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