隨著電力系統電壓等級的提升與設備的長期運轉下，絕緣材料的特性會因不同的外在因素影響而逐漸劣化，當劣化部位之電場強度大於絕緣材料本身所能承受的絕緣強度時，即會產生局部放電現象。近年來，局部放電的檢測和圖譜辨識已成爲預防性設備故障診斷的最新發展趨勢，因此若能結合局部放電檢測與訊號分析，掌握電力設備的絕緣狀態，當能及時避免電力設備的無預警停機，提升電力的品質及供電的可靠度。
本研究多功能電氣即時波形檢測系統，運用嵌入式系統架構進行研製，主要採用ARM (Advanced RISC Machine)處理器、類比數位轉換器、電壓感測器、電流感測器及高頻電流感測器，再依據需求搭配可編成即時單元與工業通訊子系統、現場可程式化邏輯閘陣列或是數位訊號處理器等硬體元件，並撰寫相關硬體電路、韌體、驅動程式及應用程式，以模組化設計方式藉以發展網路雲端應用和觸控顯示單機應用，以符合在各種場域中使用。在前端部份的資料擷取裝置方面可分為電量資料擷取模組和局部放電擷取模組的研發領域，在後端部份建立雲端串流運算的資料處理流程，完成資料擷取硬體與雲端監控技術的整合。
本論文旨在建立一套多功能電氣即時波形檢測系統，分別為線上電量檢測系統和攜帶型局部放電檢測系統，利用電力品質分析、標準放電模型、高壓比流器作為本研究實際應用案例進行測試，並與市面上的商用儀器進行比對，以驗證本研究多功能電氣即時波形檢測系統的準確性，同時兼具成本低、體積小、攜帶方便等優勢，大幅提升其在未來使用上的普及性和替代性。

With increasing voltage level of electrical systems and under long-term operation of equipment, the insulating properties of materials deteriorate due to the influence of various external factors. Partial discharge occurs when the electric field strength of the deteriorated part exceeds the maximum insulation strength of the insulating material. In recent years, detection and pattern recognition of partial discharge have become the latest development trend of preventive equipment fault diagnosis. Therefore, partial discharge detection and signal analysis can be combined to determine the insulation status of electrical equipment, prevent unexpected shutdown of electrical equipment in a timely manner, and improve electric power quality and the reliability of power supply.
The multifunction real-time electrical waveform detection system proposed in this study was adopted an embedded system architecture. The system consists of an ARM (Advanced RISC Machine) processor, an analog-to-digital converter, a voltage sensor, a current sensor, and a high-frequency current transformer. The user can choose to use this system to develop cloud computing applications or stand-alone touch panel applications. These applications can be achieved by using hardware components incorporated along with programming of hardware circuits, firmware, device drivers, and application programs. Some examples of hardware components that can be used are programmable real-time unit and industrial communications subsystem, field programmable gate array, or digital signal processor. The front-end data acquisition device was designed to be made up of two modules: electricity data acquisition and partial discharge acquisition module. Regarding the system back-end, a cloud-based data stream processing procedure was created to integrate data acquisition hardware with cloud monitoring technology.
This study aimed to build a multifunction real-time electrical waveform detection system by combining an online power detection system and a portable partial discharge detection system. The system was tested, on the basis of the case study, using a power quality analysis, standard discharge model, and high-voltage current transformer. The proposed system was also compared with commercial instruments on the market to determine the system’s accuracy. The many advantages of the proposed system, such as the low cost, small size, and portability, greatly increase its potential to be widely adopted and to substitute products with similar functions in the future.

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