Term 232
Automated Dissolved Gas Analysis for Oil Filled Transformers
Project Type: Self-Initiated
Project Description
The project aims to develop an Automated Online Dissolved Gas Analysis (Online-DGA) device to automate transformer fault detection and provide real-time insights. The device will detect methane (CH4), ethylene (C2H4), acetylene (C2H2), hydrogen (H2), carbon monoxide (CO), and carbon dioxide (CO2) with ط¢آ±20 ppm precision, issuing alerts within seconds when gas thresholds exceed safe limits. Meeting specifications like early warning alerts, detecting multiple gases, and real-time monitoring. This project also addresses constraints such as junction box size, harsh environmental conditions, safety standards, and limited data storage. The impact of this project will enable proactive maintenance, extend transformer lifespan, and reduce reliance on manual sampling and expensive contracts.
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Project Team
Abdulaziz Marwan Bakhurji
Applied Mechanical Engineering
Mohammed Rakan Alyami
Industrial & Systems Engg.
Nasser Bader Alnasser
Electrical Engineering
Ali Abdulmonaem Aljulaih
Applied Electrical Engineering
Abdulrahim Nabeel Albedaiwi
Applied Mechanical Engineering
Ziyad Tariq Husain
Computer ScienceTeam Coach
Dr. Usman Ali
Assistant ProfessorMechanical Engineering Dept.
Interdisciplinary Research Center for Advanced Materials