Please use this identifier to cite or link to this item: doi:10.22028/D291-37319
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Title: Sensors 4.0 – smart sensors and measurement technology enable Industry 4.0
Author(s): Schütze, Andreas
Helwig, Nikolai
Schneider, Tizian
Language: English
Title: Journal of sensors and sensor systems : JSSS
Volume: 7
Issue: 1
Pages: 359-371
Publisher/Platform: Copernicus Publications
Year of Publication: 2018
DDC notations: 621.3 Electrical engineering, electronics
Publikation type: Journal Article
Abstract: “Industrie 4.0” or the Industrial Internet of Things (IIoT) are two terms for the current (r)evolution seen in industrial automation and control. Everything is getting smarter and data generated at all levels of the production process are used to improve product quality, flexibility, and productivity. This would not be possible without smart sensors, which generate the data and allow further functionality from self-monitoring and self-configuration to condition monitoring of complex processes. In analogy to Industry 4.0, the development of sensors has undergone distinctive stages culminating in today's smart sensors or “Sensor 4.0”. This paper briefly reviews the development of sensor technology over the last 2 centuries, highlights some of the potential that can be achieved with smart sensors and data evaluation, and discusses success requirements for future developments. In addition to magnetic sensor technologies which allow self-test and self-calibration and can contribute to many applications due to their wide spectrum of measured quantities, the paper discusses condition monitoring as a primary paradigm for introducing smart sensors and data analysis in manufacturing processes based on two projects performed in our group.
DOI of the first publication: 10.5194/jsss-7-359-2018
URL of the first publication: https://jsss.copernicus.org/articles/7/359/2018/
Link to this record: urn:nbn:de:bsz:291--ds-373194
hdl:20.500.11880/33800
http://dx.doi.org/10.22028/D291-37319
ISSN: 2194-878X
2194-8771
Date of registration: 21-Sep-2022
Faculty: NT - Naturwissenschaftlich- Technische Fakultät
Department: NT - Systems Engineering
Professorship: NT - Prof. Dr. Andreas Schütze
Collections:SciDok - Der Wissenschaftsserver der Universität des Saarlandes

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