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Towards digitalization of hydraulic systems using soft sensor networks

Pelz, Peter F. ; Dietrich, Ingo ; Schänzle, Christian ; Preuß, Nils (2022):
Towards digitalization of hydraulic systems using soft sensor networks. (Publisher's Version)
In: Fluid power networks : proceedings : 19th - 21th March 2018 : 11th International Fluid Power Conference, pp. 40-53,
Darmstadt, RWTH Aachen, 11th International Fluid Power Conference, Aachen, Germany, 19.-21.03.2018, ISBN 978-3-95886-215-9,
DOI: 10.26083/tuprints-00020820,
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Item Type: Conference or Workshop Item
Origin: Secondary publication service
Status: Publisher's Version
Title: Towards digitalization of hydraulic systems using soft sensor networks
Language: English
Abstract:

Today buzzwords like “smart machine” and “intelligent component” dominate the discussion about digitalization in the fluid power domain. However, the engineering fundamentals behind the words “smart” and “intelligent” often remain unclear. A common and target-oriented discussion needs transparent approaches including the applied technical system understanding. Therefore, t his paper presents new concepts of soft sensor networks which allow the aggregation of information about fluid systems from heterogeneous sources. Soft sensors presented in this paper are physical models of system components that ensure transparency. Soft sensors and soft sensor networks are applied on exemplary hydraulic systems on three different levels: (i) the sensor level, (ii) the component level and (iii) the system level.

Book Title: Fluid power networks : proceedings : 19th - 21th March 2018 : 11th International Fluid Power Conference
Place of Publication: Darmstadt
Publisher: RWTH Aachen
Classification DDC: 600 Technik, Medizin, angewandte Wissenschaften > 620 Ingenieurwissenschaften
Divisions: 16 Department of Mechanical Engineering > Institute for Fluid Systems (FST)
Event Title: 11th International Fluid Power Conference
Event Location: Aachen, Germany
Event Dates: 19.-21.03.2018
Date Deposited: 03 Mar 2022 12:17
Last Modified: 03 Mar 2022 12:18
DOI: 10.26083/tuprints-00020820
Corresponding Links:
URN: urn:nbn:de:tuda-tuprints-208208
URI: https://tuprints.ulb.tu-darmstadt.de/id/eprint/20820
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