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 (30.01.2017-02.02.2017)
doi: 10.26083/tuprints-00020887
Konferenzveröffentlichung, Zweitveröffentlichung, Postprint
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Kurzbeschreibung (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.
Typ des Eintrags: | Konferenzveröffentlichung |
---|---|
Erschienen: | 2022 |
Autor(en): | Schänzle, Christian ; Dietrich, Ingo ; Corneli, Tobias ; Pelz, Peter F. |
Art des Eintrags: | Zweitveröffentlichung |
Titel: | Controlling Uncertainty in Hydraulic Drive Systems by Means of a Soft Sensor Network |
Sprache: | Englisch |
Publikationsjahr: | 2022 |
Ort: | Darmstadt |
Publikationsdatum der Erstveröffentlichung: | 2017 |
Verlag: | Springer |
Buchtitel: | Sensors and Instrumentation, Volume 5: Proceedings of the 35th IMAC, A Conference and Exposition on Structural Dynamics 2017 |
Reihe: | Conference Proceedings of the Society for Experimental Mechanics Series |
Band einer Reihe: | 5 |
Veranstaltungstitel: | 35th International Modal Analysis Conference (IMAC) |
Veranstaltungsort: | Anaheim, California, USA |
Veranstaltungsdatum: | 30.01.2017-02.02.2017 |
DOI: | 10.26083/tuprints-00020887 |
URL / URN: | https://tuprints.ulb.tu-darmstadt.de/20887 |
Zugehörige Links: | |
Herkunft: | Zweitveröffentlichungsservice |
Kurzbeschreibung (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 |
Sachgruppe der Dewey Dezimalklassifikatin (DDC): | 600 Technik, Medizin, angewandte Wissenschaften > 620 Ingenieurwissenschaften und Maschinenbau |
Fachbereich(e)/-gebiet(e): | 16 Fachbereich Maschinenbau 16 Fachbereich Maschinenbau > Institut für Fluidsystemtechnik (FST) (seit 01.10.2006) |
Hinterlegungsdatum: | 29 Apr 2022 12:32 |
Letzte Änderung: | 02 Mai 2022 05:37 |
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