dissertation · Brno University of Technology Digital Library (Brno University of Technology) · 2021
Data-driven sensors and their applications
Pakr, Jiří
Cited by 0Abstract and details only
Abstract
Soft sensors are a gradually expanding technique in the field of industrial measurement. These sensors are computer programs that provide additional data using previously acquired data in a similar way to conventional hardware sensors. The additional data is obtained using predictive models based on machine learning methods such as neural networks or support vector machines. This work mainly includes a research on the function, structure and creation of soft sensors. It also describes machine learning, the distribution of its algorithms and introduces the methods commonly used in the field of virtual sensors. Towards the end, the author describes possible future development of soft sensors and the direction of further applications.
Cite this paper
Pakr, J. (2021). Data-driven sensors and their applications. Brno University of Technology Digital Library (Brno University of Technology).
Pakr, Jiří. “Data-driven sensors and their applications.” Brno University of Technology Digital Library (Brno University of Technology), 2021.
Pakr, Jiří. 2021. “Data-driven sensors and their applications.” Brno University of Technology Digital Library (Brno University of Technology).
Pakr, J. (2021) ‘Data-driven sensors and their applications’, Brno University of Technology Digital Library (Brno University of Technology).
@phdthesis{pakr2021data,
title = {{Data-driven sensors and their applications}},
author = {Pakr, Jiří},
school = {Brno University of Technology Digital Library (Brno University of Technology)},
year = {2021}
}Made from the index record. Check names, capitalisation and page numbers against the paper. Need another style? AI for Research has over 10,000.