Fault Diagnosis Employing Transfer Learning Techniques: Domain Adaptation and Domain Generalization
Kubernetes-native framework for declarative testing of distributed systems.
A python package to build portable Energy Management and Information Systems (EMIS) application in buildings.
Code repository for the online course 'Statistical Techniques for Monitoring Industrial Processes'
This repository contains some of the scripts and documentation from my PhD research on data-driven methodologies for building efficiency within the district heating sector. It includes R scripts for time series analysis, machine learning, and energy optimization using smart heat meter data.
Fault Detection Diagnostics (FDD) for HVAC datasets
An AI-driven Prognostics and Health Management (PHM) system for predictive maintenance. This project features a FastAPI for real-time condition monitoring, advanced models for fault detection, and Remaining Useful Life (RUL) prediction. It integrates digital twin concepts and Explainable AI (XAI) for transparent and reliable industrial asset manage
Detection and classification of anomalous events in oil extraction. Incremental learning methods applied to the Petrobras 3W dataset.
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