Fett, Michel ; Turner, Eleanor ; Breimann, Richard ; Kirchner, Eckhard (2025)
Extension of the system boundary of the Digital Twin onto the sensors of the Physical Twin through the introduction of redundant soft sensors.
In: Forschung im Ingenieurwesen = Engineering Research, 2023, 87 (1)
doi: 10.26083/tuprints-00028432
Artikel, Zweitveröffentlichung, Verlagsversion
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Kurzbeschreibung (Abstract)
The benefit of Digital Twins depends to a large extent on the quality of the sensor data provided. In many cases, sensor failures are only detected late in operation which can lead to serious consequences. For this reason, one approach to reduce the resulting safety issues is to use redundant sensor systems that monitor the same measureand. However, due to the additional sensors required, this is associated with additional financial and design effort.
In this publication an alternative strategy is presented, which provides a redundant sensor system with the help of soft sensors. Soft sensors use already installed physical sensors to anticipate a new measured variable via algorithms. They are often used to avoid placing sensors in inaccessible locations, but are used here to perform redundant computation of already existing metrics. The sensor data of physical and soft sensors are used as input variables for a Digital Twin. Here, these are compared with each other and can be critically questioned by the twin itself. This makes it possible to extend the system boundary of the Digital Twin to the sensors themselves and provided input variables can be checked for their validity. This allows sensor failures to be detected at an early stage and consequential damage to be averted.
Typ des Eintrags: | Artikel | ||||
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Erschienen: | 2025 | ||||
Autor(en): | Fett, Michel ; Turner, Eleanor ; Breimann, Richard ; Kirchner, Eckhard | ||||
Art des Eintrags: | Zweitveröffentlichung | ||||
Titel: | Extension of the system boundary of the Digital Twin onto the sensors of the Physical Twin through the introduction of redundant soft sensors | ||||
Sprache: | Englisch | ||||
Publikationsjahr: | 17 Januar 2025 | ||||
Ort: | Darmstadt | ||||
Publikationsdatum der Erstveröffentlichung: | März 2023 | ||||
Ort der Erstveröffentlichung: | Berlin ; Heidelberg | ||||
Verlag: | Springer | ||||
Titel der Zeitschrift, Zeitung oder Schriftenreihe: | Forschung im Ingenieurwesen = Engineering Research | ||||
Jahrgang/Volume einer Zeitschrift: | 87 | ||||
(Heft-)Nummer: | 1 | ||||
DOI: | 10.26083/tuprints-00028432 | ||||
URL / URN: | https://tuprints.ulb.tu-darmstadt.de/28432 | ||||
Zugehörige Links: | |||||
Herkunft: | Zweitveröffentlichung DeepGreen | ||||
Kurzbeschreibung (Abstract): | The benefit of Digital Twins depends to a large extent on the quality of the sensor data provided. In many cases, sensor failures are only detected late in operation which can lead to serious consequences. For this reason, one approach to reduce the resulting safety issues is to use redundant sensor systems that monitor the same measureand. However, due to the additional sensors required, this is associated with additional financial and design effort. In this publication an alternative strategy is presented, which provides a redundant sensor system with the help of soft sensors. Soft sensors use already installed physical sensors to anticipate a new measured variable via algorithms. They are often used to avoid placing sensors in inaccessible locations, but are used here to perform redundant computation of already existing metrics. The sensor data of physical and soft sensors are used as input variables for a Digital Twin. Here, these are compared with each other and can be critically questioned by the twin itself. This makes it possible to extend the system boundary of the Digital Twin to the sensors themselves and provided input variables can be checked for their validity. This allows sensor failures to be detected at an early stage and consequential damage to be averted. |
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Alternatives oder übersetztes Abstract: |
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Status: | Verlagsversion | ||||
URN: | urn:nbn:de:tuda-tuprints-284325 | ||||
Zusätzliche Informationen: | Part of a collection: CWD 2023 and DSEC 2023 |
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Sachgruppe der Dewey Dezimalklassifikatin (DDC): | 600 Technik, Medizin, angewandte Wissenschaften > 620 Ingenieurwissenschaften und Maschinenbau | ||||
Fachbereich(e)/-gebiet(e): | 16 Fachbereich Maschinenbau 16 Fachbereich Maschinenbau > Fachgebiet Produktentwicklung und Maschinenelemente (pmd) |
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Hinterlegungsdatum: | 17 Jan 2025 10:21 | ||||
Letzte Änderung: | 20 Jan 2025 07:46 | ||||
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