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- Dokumenttyp:
- Forschungsdaten
- Veröffentlichungsdatum:
- 20.08.2020
- Verantwortlich:
- Jorde, Daniel
- Autorinnen / Autoren:
- Jorde, Daniel; Jacobsen, Hans-Arno
- Institutionszugehörigkeit:
- TUM
- Herausgeber:
- TUM
- Titel:
- CREAM: CoffeemakeR Electrical Activity Measurements for Condition Monitoring
- Identifikator:
- doi:10.14459/2020mp1554766
- Enddatum der Datenerzeugung:
- 05.08.2020
- Fachgebiet:
- DAT Datenverarbeitung, Informatik; ERG Energietechnik, Energiewirtschaft
- Quellen der Daten:
- Experimente und Beobachtungen / experiments and observations
- Datentyp:
- Datenbanken / data bases; Programme und Anwendungen / software and applications
- Anderer Datentyp:
- Electrical Time Series
- Methode der Datenerhebung:
- Measurements of voltage and current consumption, combined with machine-generated and expert-labeled events.
- Beschreibung:
- The CREAM dataset: continuous voltage and current measurements at high sampling rates of two different industry-grade coffeemaker, mimicking industrial processes. We provide the data sampled at 6.4 kSps and additional event information: 370600 expert-labeled component-level electrical events, 1734 machine-generated product events and 3646 machine-generated maintenance-related events.
- Schlagworte:
- energy consumption data; non-intrusive load monitoring; condition monitoring; predictive maintenance; appliance identification; industrial-like machinery
- Technische Hinweise:
- View and download (103 GB total, 1136 files)
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The data server also offers downloads with rsync (password m1554766):
rsync rsync://m1554766@dataserv.ub.tum.de/m1554766/ - Sprache:
- en
- Rechte:
- by, http://creativecommons.org/licenses/by/4.0
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