Institute of Aircraft Propulsion Systems

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1 to 10 of 79 Results

Data for: "Machine Learning Based Virtual Sensor for the Shaft Torque during Helicopter Flight: Definition, Optimization and Uncertainty Analysis" Nov 2, 2026 - QUASAR (QUick and Assured system of Systems development with dAta-driven suRrogate models) Kajolli, Jonida; Varchev, Tihomir; Staudacher, Stephan, 2026, "Data for: "Machine Learning Based Virtual Sensor for the Shaft Torque during Helicopter Flight: Definition, Optimization and Uncertainty Analysis"", https://doi.org/10.18419/DARUS-6655, DaRUS, V1 This dataset contains surrogate data of a helicopter turboshaft engine for nominal and degraded engine states. It covers hover and dynamic flight phases as well as transitions from hover to dynamic flight and transitions from dynamic to hover flight. The dataset is used for the training and testing of the machine learning based virtual sensor for t...
degradation_0_995.zip Nov 2, 2026 - Data for: "Machine Learning Based Virtual Sensor for the Shaft Torque during Helicopter Flight: Definition, Optimization and Uncertainty Analysis" ZIP Archive - 59.2 MB - MD5: 126941d4ec4dde26e749d29231cc5bbe
degradation_0_997.zip Nov 2, 2026 - Data for: "Machine Learning Based Virtual Sensor for the Shaft Torque during Helicopter Flight: Definition, Optimization and Uncertainty Analysis" ZIP Archive - 59.2 MB - MD5: dcf38bc04aad4bc50ad31fa05af29c10
degradation_0_998.zip Nov 2, 2026 - Data for: "Machine Learning Based Virtual Sensor for the Shaft Torque during Helicopter Flight: Definition, Optimization and Uncertainty Analysis" ZIP Archive - 59.2 MB - MD5: 10151395fd140ac60499a50a982f2661
nominal.zip Nov 2, 2026 - Data for: "Machine Learning Based Virtual Sensor for the Shaft Torque during Helicopter Flight: Definition, Optimization and Uncertainty Analysis" ZIP Archive - 59.1 MB - MD5: eceed0eda963e7beb05f62b1640d2af4
README.md Nov 2, 2026 - Data for: "Machine Learning Based Virtual Sensor for the Shaft Torque during Helicopter Flight: Definition, Optimization and Uncertainty Analysis" Markdown Text - 890 B - MD5: 35df2b6cfab6cdb90cdf3f786f934d9c
QUASAR (QUick and Assured system of Systems development with dAta-driven suRrogate models)(Universität Stuttgart) Oct 27, 2026 With a new aerospace strategy, the state government is paving the way for a digital, sustainable, and cooperative aerospace industry: The research program "Aerospace Technology 2050 – Sustainable, Digital, Cooperative" is funding three projects at the Faculty of Aerospace Engineering and Geodesy at the University of Stuttgart. The ILS is involved w...
Data for: "The extent of the Rhine Glacier in eastern Upper Swabia (southern Germany) at the height of the Last Glacial Maximum: new morphological constraints from high-resolution digital terrain models" Aug 4, 2025 De Jong, Matheus Gerardus Gertrudis; Seyfried, Hartmut; Simon, Theo; Banzhaf, Roland; Schwab, Andreas; Holuba, Karl-Heinz; Müller, Thomas, 2025, "Data for: "The extent of the Rhine Glacier in eastern Upper Swabia (southern Germany) at the height of the Last Glacial Maximum: new morphological constraints from high-resolution digital terrain models"", https://doi.org/10.18419/DARUS-5195, DaRUS, V2 High-resolution LiDAR data of Upper Swabia. The files in the dataset represent the figures of the related publication in high resolution.
Fig 14 Version 250713_rb05.pdf Aug 4, 2025 - Data for: "The extent of the Rhine Glacier in eastern Upper Swabia (southern Germany) at the height of the Last Glacial Maximum: new morphological constraints from high-resolution digital terrain models" Adobe PDF - 1.1 GB - MD5: b8382d9443c0070e4f3251577918ad57
Fig 01 De Jong et al 2025.pdf Jul 31, 2025 - Data for: "The extent of the Rhine Glacier in eastern Upper Swabia (southern Germany) at the height of the Last Glacial Maximum: new morphological constraints from high-resolution digital terrain models" Adobe PDF - 93.7 MB - MD5: 0a231695297d60fa5bde94697fa23913

Data for: "Machine Learning Based Virtual Sensor for the Shaft Torque during Helicopter Flight: Definition, Optimization and Uncertainty Analysis"

Nov 2, 2026 - QUASAR (QUick and Assured system of Systems development with dAta-driven suRrogate models)

Kajolli, Jonida; Varchev, Tihomir; Staudacher, Stephan, 2026, "Data for: "Machine Learning Based Virtual Sensor for the Shaft Torque during Helicopter Flight: Definition, Optimization and Uncertainty Analysis"", https://doi.org/10.18419/DARUS-6655, DaRUS, V1

This dataset contains surrogate data of a helicopter turboshaft engine for nominal and degraded engine states. It covers hover and dynamic flight phases as well as transitions from hover to dynamic flight and transitions from dynamic to hover flight. The dataset is used for the training and testing of the machine learning based virtual sensor for t...

degradation_0_995.zip

Nov 2, 2026 - Data for: "Machine Learning Based Virtual Sensor for the Shaft Torque during Helicopter Flight: Definition, Optimization and Uncertainty Analysis"

ZIP Archive - 59.2 MB -

degradation_0_997.zip

Nov 2, 2026 - Data for: "Machine Learning Based Virtual Sensor for the Shaft Torque during Helicopter Flight: Definition, Optimization and Uncertainty Analysis"

ZIP Archive - 59.2 MB -

degradation_0_998.zip

Nov 2, 2026 - Data for: "Machine Learning Based Virtual Sensor for the Shaft Torque during Helicopter Flight: Definition, Optimization and Uncertainty Analysis"

ZIP Archive - 59.2 MB -

nominal.zip

Nov 2, 2026 - Data for: "Machine Learning Based Virtual Sensor for the Shaft Torque during Helicopter Flight: Definition, Optimization and Uncertainty Analysis"

ZIP Archive - 59.1 MB -

README.md

Nov 2, 2026 - Data for: "Machine Learning Based Virtual Sensor for the Shaft Torque during Helicopter Flight: Definition, Optimization and Uncertainty Analysis"

Markdown Text - 890 B -

QUASAR (QUick and Assured system of Systems development with dAta-driven suRrogate models)(Universität Stuttgart)

Oct 27, 2026

With a new aerospace strategy, the state government is paving the way for a digital, sustainable, and cooperative aerospace industry: The research program "Aerospace Technology 2050 – Sustainable, Digital, Cooperative" is funding three projects at the Faculty of Aerospace Engineering and Geodesy at the University of Stuttgart. The ILS is involved w...

Data for: "The extent of the Rhine Glacier in eastern Upper Swabia (southern Germany) at the height of the Last Glacial Maximum: new morphological constraints from high-resolution digital terrain models"

Aug 4, 2025

De Jong, Matheus Gerardus Gertrudis; Seyfried, Hartmut; Simon, Theo; Banzhaf, Roland; Schwab, Andreas; Holuba, Karl-Heinz; Müller, Thomas, 2025, "Data for: "The extent of the Rhine Glacier in eastern Upper Swabia (southern Germany) at the height of the Last Glacial Maximum: new morphological constraints from high-resolution digital terrain models"", https://doi.org/10.18419/DARUS-5195, DaRUS, V2

High-resolution LiDAR data of Upper Swabia. The files in the dataset represent the figures of the related publication in high resolution.

Fig 14 Version 250713_rb05.pdf

Aug 4, 2025 - Data for: "The extent of the Rhine Glacier in eastern Upper Swabia (southern Germany) at the height of the Last Glacial Maximum: new morphological constraints from high-resolution digital terrain models"

Adobe PDF - 1.1 GB -

Fig 01 De Jong et al 2025.pdf

Jul 31, 2025 - Data for: "The extent of the Rhine Glacier in eastern Upper Swabia (southern Germany) at the height of the Last Glacial Maximum: new morphological constraints from high-resolution digital terrain models"

Adobe PDF - 93.7 MB -

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