本文應用場規劃邏輯閘陣列實現斜向型小波轉換之硬體架構，並將其應用於擾動訊號之偵測。因斜向型小波轉換可以快速進行二階小波運算，其高運算效能之特性，頗適於即時擾動訊號之偵測，因此本文即經由硬體描述語言，將斜向型小波二階轉換演算法嵌入實現於場規劃邏輯閘陣列晶片，並配合類比至數位與數位至類比轉換電路，整合為一訊號擾動偵測之電路系統。文中首先應用軟體模擬電力系統發生之異常訊號，並透過斜向型小波二階轉換運算之助，確認所提方法之可行性；接著進行實體電路之研製，並另設計小型電路，以產生相關電壓擾動波形，再以此擾動訊號經由本文所架構之實體電路予以驗證測試。由各擾動波形之偵測結果，證實本電路確具有良好之偵測效能。

　　In this thesis, the field programmable gate array (FPGA) is employed for the hardware realization of slantlet transform. The realized product is then applied for the disturbance detection. Because the slantlet transform owns a high-performance computation feature that is suitable for the disturbance detection, the thesis is hence motivated to apply such technique for the detection application. In the implementation process, by use of the hardware description language, the slantlet transform algorithm has been embedded into the FPGA chip, which is also further integrated with the analog-to-digital conversion circuit in order to construct a disturbance detection system.

　　In the study, the software simulation is first made to generate different signals. These simulated signals are then processed through the slantlet transform in order to validate the effectiveness of the method. Besides, a hardware circuit is designed to generate various disturbance waveforms for different scenarios, by which the proposed scheme is prudently validated. From these simulation results and experimental outcome, they have demonstrated high detection-performance of the method suggested in the thesis.

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