XAI for CPS - Data and Trained Models

This artefact includes power traces compartmentalised into phase-specific cut files. The files are organised per experimentation scenario. They are intended to be used as the input for a data processing and Machine Learning (ML) pipeline that eventually generates SHAP scores for an XAI study. Alongside the data, three trained ML models are included, which play a role in the SHAP score calculation pipeline. These artefacts are utilised within the publication "Explainable AI to Improve Machine Learning Reliability for Industrial Cyber-Physical Systems". Refer to the provided README file for further details.