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Controlling Uncertainty in Hydraulic Drive Systems by Means of a Soft Sensor Network

Schänzle, Christian ; Dietrich, Ingo ; Corneli, Tobias ; Pelz, Peter F. (2022):
Controlling Uncertainty in Hydraulic Drive Systems by Means of a Soft Sensor Network. (Postprint)
In: Conference Proceedings of the Society for Experimental Mechanics Series, 5, In: Sensors and Instrumentation, Volume 5: Proceedings of the 35th IMAC, A Conference and Exposition on Structural Dynamics 2017, pp. 1-6,
Darmstadt, Springer, 35th International Modal Analysis Conference (IMAC), Anaheim, California, USA, 30.01.–02.02.2017, ISSN 2191-5644, e-ISSN 2191-5652, ISBN 978-3-319-54987-3,
DOI: 10.26083/tuprints-00020887,
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Item Type: Conference or Workshop Item
Origin: Secondary publication service
Status: Postprint
Title: Controlling Uncertainty in Hydraulic Drive Systems by Means of a Soft Sensor Network
Language: English
Abstract:

High power density, high reliability and good controllability for varying load requirements are typical characteristics of hydraulic drive systems used for power transmission in stationary and mobile applications. Furthermore, hydraulic systems are usually safety related systems. Consequently, the handling of uncertainties in hydraulic systems is essential. A major source of uncertainty is, in particular, the wear induced change of the system behavior. Nowadays, the most common way to face uncertainty is the oversized system design to ensure reliable system operation. However, the uncertainty remains. In the first part of the paper we present a general approach to face uncertainty by means of a soft sensor network. Soft sensor networks make it possible to gather system information redundantly. In this way the occurrence of data conflicts are allowed which serve as an indicator of uncertainty. The resolution of these conflicts either lead to increased confidence for the model-based system information or allows the detection of changing component characteristics. The application of a soft sensor network to a hydraulic drive system is illustrated and discussed in the second part of this paper.

Book Title: Sensors and Instrumentation, Volume 5: Proceedings of the 35th IMAC, A Conference and Exposition on Structural Dynamics 2017
Series: Conference Proceedings of the Society for Experimental Mechanics Series
Series Volume: 5
Place of Publication: Darmstadt
Publisher: Springer
Classification DDC: 600 Technik, Medizin, angewandte Wissenschaften > 620 Ingenieurwissenschaften
Divisions: 16 Department of Mechanical Engineering > Institute for Fluid Systems (FST)
Event Title: 35th International Modal Analysis Conference (IMAC)
Event Location: Anaheim, California, USA
Event Dates: 30.01.–02.02.2017
Date Deposited: 29 Apr 2022 12:32
Last Modified: 29 Apr 2022 12:32
DOI: 10.26083/tuprints-00020887
Corresponding Links:
URN: urn:nbn:de:tuda-tuprints-208879
URI: https://tuprints.ulb.tu-darmstadt.de/id/eprint/20887
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