MIDAS: A Modular Ice Cream Factory Dataset on Anomalies in Sensors
收藏DataCite Commons2022-12-23 更新2025-04-16 收录
下载链接：
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：
IEEE DataPort
创建时间：
2022-12-23
