Development of an Intelligent GUI with ChatGPT for Efficient and Accurate Transformer Fault Diagnosis Using DGA, Duval Triangle Method, and Machine Learning Automation

Created by W.Langdon from gp-bibliography.bib Revision:1.8415

@InProceedings{Babiker:2025:LT,

• author = "Safia Babiker and Jouri Jadalhaq and Jana Jadalhaq and Enfel Barkat",
• title = "Development of an Intelligent {GUI} with {ChatGPT} for Efficient and Accurate Transformer Fault Diagnosis Using {DGA}, Duval Triangle Method, and Machine Learning Automation",
• booktitle = "2025 22nd International Learning and Technology Conference (L\&T)",
• year = "2025",
• volume = "22",
• pages = "263--268",
• month = jan,
• keywords = "genetic algorithms, genetic programming, Gases, Accuracy, Oil insulation, Predictive models, Transformers, Chatbots, Minerals, Maintenance, Graphical user interfaces, Predictive maintenance, Transformer fault diagnosis, Dissolved Gas Analysis, Duval Triangle, Machine Learning, TPOTClassifier, Gradio, Artificial Intelligence, GUI, ChatGPT Integration",
• ISSN = "2996-2331",
• DOI = "doi:10.1109/LT64002.2025.10941322",
• abstract = "This study presents an intelligent graphical user interface (GUI) for transformer fault diagnosis, using Dissolved Gas Analysis (DGA), the Duval Triangle method, and automated machine learning model selection. Key gases-Methane (CH4), Ethylene (C2 H4), and Acetylene (C2 H2)-are analysed to classify fault types, including partial discharges and thermal/electrical faults, through gas concentration ratios. The system leverages TPOT's model selection capabilities, with the Multi-Layer Perceptron (MLP) emerging as the optimal classifier, achieving over 95percent accuracy. The GUI, developed using Gradio, enables CSV uploads for batch processing and real-time fault classification, complemented by ChatGPT-generated explanations and maintenance suggestions. A case study on mineral oil-based transformers demonstrates the tool's high diagnostic accuracy, user-friendly design, and potential for expanded applications in predictive maintenance.",
• notes = "Also known as \cite{10941322}",

}

Genetic Programming entries for Safia Babiker Jouri Jadalhaq Jana Jadalhaq Enfel Barkat

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