Measurement systems and sensors with cognitive features-Reference-Cited by-同舟云学术

Measurement systems and sensors with cognitive features

Published:2022-03-17 Issue:4 Volume:89 Page:211-213
ISSN:2196-7113
Container-title:tm - Technisches Messen
language:en
Short-container-title:

Author:

Sommer Klaus-Dieter¹,Heizmann Michael²,Schütze Andreas³^ORCID

Affiliation:

1. Technische Universität Ilmenau , Institute of Process Measurement and Sensor Technology , Gustav-Kirchhoff-Strasse , Ilmenau , Germany

2. Karlsruhe Institute of Technology (KIT) , Institute of Industrial Information Technology (IIIT) , Hertzstraße 16 , Karlsruhe , Germany

3. Universität des Saarlandes , Lab for Measurement Technology , Campus A5.1 , Saarbrücken , Germany

Publisher

Walter de Gruyter GmbH

Subject

Electrical and Electronic Engineering,Instrumentation

Link

https://www.degruyter.com/document/doi/10.1515/teme-2022-0036/pdf

Reference4 articles.

1. Heizmann, M.; Puente Leon, F.: Modellbildung in der Mess- und Automatisierungstechnik. tm – Technisches Messen, 83 (2): 63–65, 2016.

2. Stark, R. et al.: WiGeP-Positionspapier “Digitaler Zwilling”. http://www.wigep.de/fileadmin/Positions-_und_Impulspapiere/Positionspapier_Gesamt_20200401_V11_final.pdf (Download: 2020.05.08).

3. Boschert, St., Heinrich, Chr., Rosen, R.: Next Generation Digital Twin. Proceedings of TMCE 2018, 7–11 May, 2018, Las Palmas de Gran Canaria, Spain. ISBN 978-94-6186-910-4.

4. National Institute of Standards and Technology (NIST). NIST-on-a-Chip Portal. https://www.nist.gov/pml/productsservices/nist-chip-portal, 2018. (Access: 2019.08.14).

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