由於變壓器使用數量龐大及運轉狀況不一，若僅以例行性維護，似無法全面確認變壓器運轉可靠度，故本論文研究提出應用無線資料傳輸及物聯網整合系統於變壓器匝間短路之監視及檢測，其中涵括資料取樣電路設計、無線資料傳輸、微控制器程式規劃及資料顯示視窗，並且輔以雲端資料庫將資料加以彙整，俾以提供工程人員遇到故障情形之輔助參考。本文於變壓器匝間短路檢測中，採用無線傳輸技術進行資料傳遞，有助於擴展監測範圍，同時輔以物聯網之協助，可加速掌握故障動態變化，進而提升變壓器供電效能。至為驗證本文所提之整合方法，本文已經由實際故障變壓器加以測試，測試結果應有助於佐證本文所提架構之可行性，研究成果並可擴展至電力設備故障預警功能之研發參考。

With a large number of usages and their different operation scenarios, the operation reliability of transformers seems limited if the routine maintenance is solely conducted. Therefore, this thesis proposes to integrate the wireless data transfer with the internet-of-things for the monitoring and detection of short-turns in transformers, where the data-sampling circuit design, wireless data transmission, microcontroller programming, and data display window are all included. Moreover, the cloud database is used for the collection of history data in order to serve as the reference for engineers to handle encountered fault cases. In the process of transformer short-turn detection, the wireless data transfer technique is utilized to extend the range of monitoring. In the men time, with the assistance of internet-of-things, the dynamic variation of faults can be better grasped, hence increasing the performance of supplying-power of transformers. The method proposed in this thesis has been validated through the real faulted transformers. The test outcome confirms the feasibility of the proposed approach, which can be also extended to early warning of other electric power equipment.

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