DocumentCode
2930690
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
fYear
2011
fDate
23-27 Oct. 2011
Firstpage
327
Lastpage
329
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;
fLanguage
English
Publisher
ieee
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
Type
conf
DOI
10.1109/ICEPE-ST.2011.6123000
Filename
6123000
Link To Document