GitHub / LGDiMaggio / Explainable-AI-for-Machine-Fault-Diagnosis

This project uses Explainable AI (XAI) to interpret machine learning models for diagnosing faults in industrial bearings. By applying SVM and kNN models and leveraging SHAP values, it enhances the transparency and reliability of machine learning in industrial condition monitoring.

JSON API: http://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/LGDiMaggio%2FExplainable-AI-for-Machine-Fault-Diagnosis
PURL: pkg:github/LGDiMaggio/Explainable-AI-for-Machine-Fault-Diagnosis

Topics: bearing-fault-diagnosis, condition-monitoring, explainable-ai, knn, rotating-machinery-fault-diagnosis, shap-values, shapely, svm

• Files
• Readme
• Dependencies