Application of the B-Spline wavelet in railway catenary intelligent fault diagnosis

被引：0

作者：

Gao, Yan-Ling ^{[1
]}

Zhang, De-Ying ^{[2
]}

机构：

[1] Beijing Inst Petrochem Technol, Dept Elect Engn, Beijing 102617, Peoples R China

[2] Shijiazhuang Railway Inst, Sch Civil Engn, Shijiazhuang, Peoples R China

来源：

2007 INTERNATIONAL CONFERENCE ON WAVELET ANALYSIS AND PATTERN RECOGNITION, VOLS 1-4, PROCEEDINGS | 2007年

关键词：

cubic B-Spline; mother wavelet; modulus maximum; feature extraction; BP neural network;

D O I：

暂无

中图分类号：

TP31 [计算机软件];

学科分类号：

081202 ; 0835 ;

摘要：

A new method based on cubic B-Spline dyadic mother wavelet of centro-symmetric about zero is presented, the Principle of singularity detection by using wavelet transform modulus maximum is applied in railway catenary fault feature extraction by using the mother wavelet, at last, the project is concluded by using BP neural network to recognize pattern. The result shows that it can confirm position accurately and identify the fault types effectively.

引用

页码：1853 / +

页数：2

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