InfoPos - Model Training Data

This artefact includes four datasets intended for Machine Learning (ML) model training. The aim is to train ML models for anomaly detection and identification. The data instances are sourced from targeted metric collections during the operation of a demonstrator platform, as a representative example of industrial Cyber-Physical Systems (CPS). These datasets are utilised within the publication "InfoPos: A Design Support Framework for ML-Assisted Fault Detection and Identification in Industrial Cyber-Physical Systems". Datasets are provided in both extended and reduced header, i.e., minimal columns for training, versions.

Refer to the provided README file for further details.