摘要
为了对输电线路的运动趋势进行准确预测,提出一种基于惯性测量参数的Mann-Kendall(MK)输电线路运动趋势及断线预测方法。首先设计一种微惯性测量单元(MIMU),采集大量导线正常运动及断股时的加速度和角速度,构建时间序列并进行预处理;然后定义运动特征量,采用Mann-Kendall算法对预处理后的数据进行分析,获得输电线路运动趋势及改变时刻的临界值;最后构建输电线路运动模拟系统,通过对输电线平动运动和扭转运动动量的解算,对MK趋势预测曲线发生突变且其特征量呈断崖式增加至4*104以上的情况,可以判定发生断股并确定断股时刻,以此预测断线情况。实验结果表明,该方法可完成输电线运动趋势和断线预测。
In order to accurately predict the movement trend of transmission lines,a Mann-Kendall(MK)transmission line motion trend and disconnection prediction method based on inertial measurement parameters is proposed.Firstly,a Micro inertial measure⁃ment unit(MIMU)is designed to collect the acceleration of normal motion of a large number of wires and the angular velocity of the strands.Atime series is constructed and preprocessing is performed.The motion feature quantity is defined and the Mann-Kendall algo⁃rithm is employed.The pre-processed data is analyzed to obtain the trend of the transmission line movement and the critical value of the change time.Finally,the transmission line motion simulation system is constructed,and the MK trend prediction curve is abruptly transformed by the calculation of the transmission line translational motion and the torsional motion momentum.And the feature quanti⁃ty is increased to the above in the form of a cliff 4 times 4 times multiplied by 10,and the breakage occurrence and the break moment are verified.In this way,the situation of the disconnection is predicted.The experimental results show that the method can complete the trend of motion and the prediction of disconnection.
作者
杨金显
范耀辉
YANG Jin-xian;FAN Yao-hui(School of Electrical Engineering and Automation,Henan Polytechnic University,Jiaozuo 454003,China)
出处
《软件导刊》
2020年第1期135-139,共5页
Software Guide
基金
国家自然科学基金项目(U1404510,41672363,61440007)
河南省科技攻关项目(172102210289)
河南省创新型科技人才队伍建设工程项目(CXTD2016054)
河南省高校基本科研业务费专项资金项目(NSFRF1619)
河南理工大学杰出青年基金项目(J2017-5)
