Title :
The wavelets transformation fault line selection method based on rough sets signal enhancement
Author :
Li, Lingling ; Huang, Shanshan ; Li, Fengqiang ; Li, Hua ; Zhang, Huijuan
Author_Institution :
Sch. of Electr. Eng., Hebei Univ. of Technol., Tianjin, China
Abstract :
The wavelets transformation theory is a powerful way to process transient information in small current grounding system. But the limitation of sampling frequency may lead the information dropout of zero-sequence-current. Rough set has great abilities of knowledge discovery and data mining. It can enhance zero-sequence-current and overcome the boundedness of wavelets fault line selection method. The MATLAB simulation results proved through the preproceses by rough set, the accuracy of the wavelets fault line selection method was improved.
Keywords :
fault location; rough set theory; signal sampling; wavelet transforms; data mining; knowledge discovery; rough sets signal enhancement; sampling frequency; small current grounding system; wavelets transformation fault line selection method; zero-sequence-current; Circuit faults; Data mining; Grounding; Transient analysis; Wavelet transforms;
Conference_Titel :
Electric Power Equipment - Switching Technology (ICEPE-ST), 2011 1st International Conference on
Conference_Location :
Xi´an
Print_ISBN :
978-1-4577-1273-9
DOI :
10.1109/ICEPE-ST.2011.6123000
