CREAM, a component level coffeemaker electrical activity measurement dataset.

ABSTRACT: Monitoring the internal conditions of a machine is essential to increase its production efficiency and to reduce energy waste. Non-intrusive condition monitoring techniques, such as analysing electrical signals, provide insights by disaggregating a composite signal of a machine as a whole into the individual components to determine their states. Developing and evaluating new algorithms for condition monitoring and maintenance-related analysis tasks require a fully-labelled dataset for a machine, which comprises standard industrial components that are triggered following a typical manufacturing process to produce goods. For this purpose, we introduce CREAM, a component level electrical measurement dataset for two industrial-grade coffeemakers, simulating industrial processes. The dataset co

SUBMITTER: Jorde D 

PROVIDER: S-EPMC7747629 | biostudies-literature | 2020 Dec

REPOSITORIES: biostudies-literature