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《Proceedings of the Chinese Society of Universities for Electric Power System and its Automation》 2008-05
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A Fractal Detection Method Based on Mathematical Morphology for Disturbance Signal

SHI Jia, HUANG Chun, LI Yang(College of Electric and Information Engineering, Hunan University,Changsha 410082, China)  
A novel approach based on adaptive morphology filter and grille fractal is presented to detect and locate the power quality (PQ) disturbance signals. At first, the signal is disposed by an improved morphology filter,which is composed of different structuring elements and adopts the least mean square (LMS) arithmetic the weight coefficients of open-closing (OC) filter and close-opening (CO) filter. So the improved filter has good performance for suppressing noise and preseruing defail information. And then, following the theory of grille fractal, PQ disturbance signals can be located exactly by analyzing the grille change regularity.Simulation results show that the proposed approach is practicable and valid.
【CateGory Index】: TM933.4
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【Citations】
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