The wavelets transformation fault line selection method based on rough sets signal enhancement

摘要：

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 zerosequence-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.

作者: Lingling Li Shanshan Huang Fengqiang Li Hua Li Huijuan Zhang

作者单位: School of Electrical Engineering, Hebei University of Technology, 300130 Tianjin, China School of El School of Electrical Engineering, Hebei University of Technology, 300130 Tianjin, China School of Electrical Engineering,Hebei University of Technology, 300130 Tianjin, China

会议类型: 国际会议

会议名称: 2011 1st International Conference on Electric Power Equipment-Switching Technology(第一届电力设备开断技术国际会议 ICEPE)

会议地点: 西安

会议语种:英文

页码: 327-329

在线出版日期: 2011-10-23（万方平台首次上网日期，不代表论文的发表时间）