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

• Updated Dec 5, 2023
• Jupyter Notebook

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

• Updated Mar 17, 2023
• Python

Experimental bed to study Linux faults

• Updated Jul 12, 2022
• OCaml

A Proof-of-Concept Prototype for detecting and classifying defects on high quality images of semiconductor wafers

• Updated Mar 3, 2026
• C++

The objective is to determine the operational status of each device based on the 47 input features. The classification label is represented by the variable Class, which indicates whether the device is functioning normally or experiencing a fault condition.

• Updated Mar 4, 2026
• Jupyter Notebook

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.

• Updated Feb 9, 2026
• Python