AN INTEGRATED TECHNIQUE BASED ON NEURAL NETWORK AND WAVELET ANALYSIS FOR DETECTING AND CLASSIFYING HIGH IMPEDANCE FAULTS
IMAN MOHAMAD GALAL EL DIN CHADDAD;
Abstract
High impedance faults (HIFs) are a persistent problem on distribution systems because these faults do not draw sufficient fault current to be identified by conventional overcuirrent devices, mean while they may pose a serious hazard in the system.
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| Title | AN INTEGRATED TECHNIQUE BASED ON NEURAL NETWORK AND WAVELET ANALYSIS FOR DETECTING AND CLASSIFYING HIGH IMPEDANCE FAULTS | Authors | IMAN MOHAMAD GALAL EL DIN CHADDAD | Keywords | AN INTEGRATED TECHNIQUE BASED ON NEURAL NETWORK AND WAVELET ANALYSIS FOR DETECTING AND CLASSIFYING HIGH IMPEDANCE FAULTS | Issue Date | 2007 | Description | High impedance faults (HIFs) are a persistent problem on distribution systems because these faults do not draw sufficient fault current to be identified by conventional overcuirrent devices, mean while they may pose a serious hazard in the system. Many re |
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