MIDAS: A Modular Ice Cream Factory Dataset on Anomalies in Sensors
收藏IEEE2026-04-17 收录
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https://ieee-dataport.org/documents/midas-modular-ice-cream-factory-dataset-anomalies-sensors
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资源简介：
The dataset is generated from the ice-cream factory simulation environmen that is composed of six modules (Mixer, Pasteurizer, Homogenizer, Aeging Cooling, Dynamic Freezer, and Hardening). The values of analog sensors for level and temperature are modified using three anomaly injection options: freezing value, step change and ramp change. The dataset is composed of 1000 runs, out of which 258 were executed without anomalies.Link to github: https://github.com/vujicictijana/MIDAS
提供机构：
Leander, Bjorn; Markovic, Tijana; Leon, Miguel; Punnekkat, Sasikumar
