摘要
提出了构造具有零点中心对称的二次B样条母函数的方法,利用该小波母函数把基于小波变换模极大值的信号奇异性检测理论应用于铁路接触网故障信号特征提取中,并利用Mallat算法对接触网故障后的瞬态行波信号实施多分辨率分析,实验结果表明,该方法能准确定位故障点,有效识别接触网故障类型。
A New method based on cubic B-Spline dyadic mother wavelet of centro-symmetric about zero is presented, the prineiple of singularity detection by using wavelet transform modulus maximum is applied in Overhead Catenary for Railway fault feature extraction by using the mother wavelet, and make used of Mallat algorithm to perform wavelet transform to fault traveling waves of Overhead Catenary for Railway. The result show that it can confirm position accurately and identify Overhead Catenary for Railway fault types effectively.
出处
《自动化与仪器仪表》
2014年第10期97-98,共2页
Automation & Instrumentation
关键词
接触网
二次B样条母函数
模极大值
MALLAT算法
特征提取
Overhead Catenary for Railway
cubic B-Spline mother wavelet
modulus maximum
Mallat algorithm
feature extraction