摘要
为解决目前各铁路车站传统时间参数测量方法准确度较低及容易受外界干扰的问题,提出了基于小波分析的交流灯丝转换继电器转换时间提取方法。通过采集继电器的线圈电流和触点电流信号,选取离散平稳小波变换对信号进行多尺度分解。根据小波系数尺度间相关性和尺度内小波熵变化,确定各尺度噪声阈值;利用约束函数提取代表有用突变信息的模极大值点,使用模极大值点间的采样点间隔确定转换时间。理论分析和测试数据验证对比的结果表明,该方法切实有效。
In order to solve the problems of low accuracy and easy to be interfered by the traditional time parameter measurement methods of railway stations,this paper presents a method of extracting the switching time of AC filament switching relay based on wavelet analysis.By collecting the coil current and contact current signals of relay,the discrete stationary wavelet transform method is selected to decompose the signals at multiple scales.According to the inter-scale correlation of wavelet coefficient and the change of wavelet entropy within the scale,the noise threshold of each scale is determined.The mode maximum points representing useful mutation information are extracted by constraint function,and the conversion time is determined by sampling interval between the mode maximum points.The theoretical analysis and verification results of test data show that the method is effective.
作者
庞涛
李志伟
朱均超
张宝峰
PANG Tao;LI Zhiwei;ZHU Junchao;ZHANG Baofeng(School of Electrical Engineering and Automation,Tianjin University of Technology,Tianjin 300384,China;Tianjin Key Laboratory for Control Theory&Applications in Complicated System,Tianjin 300384,China)
出处
《仪表技术》
2022年第4期43-48,共6页
Instrumentation Technology
基金
天津市科技计划项目(18YFCZZC00320)
天津市科技计划项目(20YDTPJC00020)。
关键词
小波系数相关性
突变信息
模极大值
时间参数
wavelet coefficient
mutation information
modulus maximum
time parameter
