InfoPos - Model Training Data
Abstract
This data artefact provides four datasets for training Machine Learning (ML) models to detect and
identify anomalies. The records come from targeted metric collection during the operation of a
demonstrator platform representing industrial Cyber-Physical Systems (CPS). Each dataset is supplied
with extended headers and in a reduced version containing the columns needed for training. The
datasets accompany the publication "InfoPos: A Design Support Framework for ML-Assisted Fault
Detection and Identification in Industrial Cyber-Physical Systems".
Refer to the provided README file for further details.
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Licence
This data artefact is licenced under
CC BY 4.0.