Research output per year
Research output per year
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Dive into the research topics where Bernhard Schober is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
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HVDC GIS/GIL – Classification of PD Defects using NoDi* Pattern and Machine Learning
Schober, B. & Schichler, U., 23 Nov 2021. 6 p.Research output: Contribution to conference › Paper › peer-review
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Reproducibility of Partial Discharge Measurements on Surface Discharges according to IEC 60270 at DC and AC Voltage
Hartje, M., Kumm, T., Schober, B., Schichler, U., Torres, J. & Werle, P., 24 Nov 2021.Research output: Contribution to conference › Paper › peer-review
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Feature-Analyse zur Klassifikation von Teilentladungen bei Gleichspannungsbeanspruchung mit Machine Learning
Schober, B. & Schichler, U., 11 Nov 2020, VDE High Voltage Technology. VDE Verlag GmbH, Vol. 2020. p. 435-440 6 p. (VDE High Voltage Technology).Research output: Chapter in Book/Report/Conference proceeding › Conference paper › peer-review
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Feature Extraction for Machine Learning Algorithms to Classify Partial Discharge under DC Voltage
Schober, B. & Schichler, U., 27 Oct 2020.Research output: Contribution to conference › Paper › peer-review
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Quo vadis? – Artificial Intelligence in der Hochspannungstechnik
Schober, B. & Schichler, U., 13 Feb 2020.Research output: Contribution to conference › Paper › peer-review
Activities
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HVDC GIS/GIL – Classification of PD Defects using NoDi* Pattern and Machine Learning
Bernhard Schober (Speaker)
23 Nov 2021Activity: Talk or presentation › Talk at conference or symposium › Science to science
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22nd International Symposium on High Voltage Engineering
Bernhard Schober (Participant)
21 Nov 2021 → 25 Nov 2021Activity: Participation in or organisation of › Conference or symposium (Participation in/Organisation of)
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Feature-Analyse zur Klassifikation von Teilentladungen bei Gleichspannungsbeanspruchung mit Machine Learning
Bernhard Schober (Speaker)
11 Nov 2020Activity: Talk or presentation › Talk at conference or symposium › Science to science
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Feature Extraction for Machine Learning Algorithms to Classify Partial Discharge under DC Voltage
Bernhard Schober (Speaker)
27 Oct 2020Activity: Talk or presentation › Talk at conference or symposium › Science to science
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16. Symposium Energieinnovation
Bernhard Schober (Participant)
12 Feb 2020 → 14 Feb 2020Activity: Participation in or organisation of › Conference or symposium (Participation in/Organisation of)
Prizes
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Best Paper Award: Feature Extraction for Machine Learning Algorithms to Classify Partial Discharge under DC Voltage
Schober, Bernhard (Recipient) & Schichler, Uwe (Recipient), 31 Oct 2020
Prize: Prizes / Medals / Awards