机械与电子2017，Vol.35Issue(12)：47-50,4.
时间序列特征提取的高压输电线电压等级识别方法
Voltage Level Identification for High Voltage Transmission Line Based on Time Series Feature Extraction
摘要
Abstract
As the safety distance of the high voltage transmission line varies between different voltage levels,it is of vital importance for the electric construction personnel to identify the voltage level when climbing the tower.For the voltage levels and the electric field distribution of the transmission line are different,the electric field sensors were used respectively to collect the data of electric field intensity in the process of tower climbing of 10 kV,35 kV and 110 kV transmission lines.Defined as time series of electric field,the data was filtered by Kalman filter algorithm,and then,the features were extracted by using the method of piecewise aggregation approximation.Finally,the voltage level was identified by SVM classifier.The results show that the identification accuracy is 93.3％.关键词
时间序列/特征提取/高压输电线/电压等级识别/SVMKey words
sequentially/feature extraction/high voltage transmission line/voltage level identification/SVM分类
信息技术与安全科学引用本文复制引用
杨纯平,张文斌,周年荣,唐立军..时间序列特征提取的高压输电线电压等级识别方法[J].机械与电子,2017,35(12):47-50,4.基金项目
中国南方电网有限责任公司科研资助项目(2016KF00035) （2016KF00035）
