ML Approaches for RUL Prediction, Anomaly Detection, Survival Analysis and Failure Classification

A data-driven deep learning based fault diagnosis application for radial, active distribution grids

Experimental bed to study Linux faults

Drone malfunction finder is an end-to-end system for fault-detection-from-uav-sounds, leveraging ML-based audio analysis to identify and classify drone faults.