Abstract:This paper proposes a new approach for detecting the time location of power disturbances by combining skeletonization and morphology edge detection. Signals with disturbances were filtered using morphology edge detection to find the time location of the disturbances; however the results were not very accurate. Adding skeletonization to the system after applying the morphology edge detection improved the accuracy in detecting the time location of the disturbances. A Matlab simulation has been undertaken and the… Show more
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