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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.
35th International Modal Analysis Conference (IMAC). Anaheim, California, USA (30.01.–02.02.2017)
doi: 10.26083/tuprints-00020887
Conference or Workshop Item, Secondary publication, Postprint

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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.

Item Type: Conference or Workshop Item
Erschienen: 2022
Creators: Schänzle, Christian ; Dietrich, Ingo ; Corneli, Tobias ; Pelz, Peter F.
Type of entry: Secondary publication
Title: Controlling Uncertainty in Hydraulic Drive Systems by Means of a Soft Sensor Network
Language: English
Date: 2022
Place of Publication: Darmstadt
Year of primary publication: 2017
Publisher: Springer
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
Event Title: 35th International Modal Analysis Conference (IMAC)
Event Location: Anaheim, California, USA
Event Dates: 30.01.–02.02.2017
DOI: 10.26083/tuprints-00020887
URL / URN: https://tuprints.ulb.tu-darmstadt.de/20887
Corresponding Links:
Origin: Secondary publication service
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.

Status: Postprint
URN: urn:nbn:de:tuda-tuprints-208879
Classification DDC: 600 Technology, medicine, applied sciences > 620 Engineering and machine engineering
Divisions: 16 Department of Mechanical Engineering
16 Department of Mechanical Engineering > Institute for Fluid Systems (FST) (since 01.10.2006)
Date Deposited: 29 Apr 2022 12:32
Last Modified: 02 May 2022 05:37
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