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@article{194180,
        author = {ABHAY BINU and ABIN RAJAN and AMAL U and ANANDUKRISHNAN.B},
        title = {AI POWERED IOT TRANSFORMER HEALTH AND FAULT MONITORING SYSTEM USING ESP32},
        journal = {International Journal of Innovative Research in Technology},
        year = {2026},
        volume = {12},
        number = {10},
        pages = {2797-2801},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=194180},
        abstract = {AI-based health monitoring and automatic load sharing system for power transformers to improve operational reliability and efficiency in electrical power distribution networks. Transformers are critical components of power systems, and their failure can lead to significant power outages and economic losses. To address this issue, the proposed system continuously monitors important operating parameters such as voltage, current, oil and winding temperature, and load conditions using appropriate sensors. The collected data is processed using artificial intelligence techniques to analyze transformer health, identify abnormal patterns, and predict potential faults before they become severe. In addition, the system enables intelligent load sharing between multiple transformers by dynamically redistributing load based on real-time conditions. This prevents overloading, reduces thermal stress, and extends transformer lifespan. The system also provides timely alerts for maintenance, enabling condition-based maintenance instead of periodic manual inspection. Overall, the proposed solution enhances power system stability, reduces maintenance costs, and supports the development of smart and reliable electrical grids. The proposed system offers several advantages, including real-time monitoring, predictive maintenance, reduced downtime, cost efficiency, and improved transformer lifespan. It is scalable for deployment in smart grids and industrial power distribution networks. Furthermore, the integration of IoT and AI technologies supports automation and data-driven decision-making in modern power systems},
        keywords = {Transformer health monitoring, Fault dictection, Load sharing of a transformer.},
        month = {March},
        }