Faculty:
Faculty of Engineering Science



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 ING

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 Bayreuth,  Germany

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 Faculty of Engineering Science at the University of Bayreuth

 Fakultät für Ingenieurwissenschaften an der Universität Bayreuth

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Researcher: Valentin Sagstetter × Supervisor: Fischerauer, Gerhard ×

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    Telemetry-Based Operational Dataset for Condition Monitoring of Digitally Configurable DC/DC Converters
    (2025-12) Andreas Federl (https://orcid.org/0000-0002-4381-2653); Markus Böhmisch; Valentin Sagstetter; Gerhard Fischerauer; Robert Bösnecker
    This dataset contains time-resolved telemetry data acquired from a digitally configurable DC/DC converter supplying a mechatronic demonstrator system with dynamic load behavior. The data were recorded under controlled laboratory conditions and are intended for research on telemetry-based condition monitoring, embedded machine learning (TinyML), and sensorless load classification. In addition to the raw telemetry signals, the dataset includes features derived from the telemetry data. These features are directly applicable to telemetry-based condition monitoring, embedded machine learning (TinyML), and sensorless load classification tasks.