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Titel:

CREAM: CoffeemakeR Electrical Activity Measurements for Condition Monitoring

Dokumenttyp:
Forschungsdaten
Veröffentlichungsdatum:
20.08.2020
Verantwortlich:
Jorde, Daniel
Autorinnen / Autoren:
Jorde, Daniel; Jacobsen, Hans-Arno
Institutionszugehörigkeit:
TUM
Herausgeber:
TUM
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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rsync rsync://m1554766@dataserv.ub.tum.de/m1554766/
Sprache:
en
Rechte:
by, http://creativecommons.org/licenses/by/4.0
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