基于BFGS算法的铁路区间老化电缆故障检测仿真  

Fault Detection Simulation of Aging Cable in Railway Section Based on Broyden-Fletcher-Goldfarb-Shanno Algorithm

作　　者：李雪 何涛[2] 樊泽园 宋晓娟 LI Xue;HE Tao;FAN Ze-yuan;SONG Xiao-juan(School of Rail Transit,Shandong Jiaotong University,Jinan Shandong 250357,China;Institute of Automatic Control,Research Institute of Lanzhou Jiaotong University,Lanzhou Gansu 730000,China)

机构地区：[1]山东交通学院轨道交通学院,山东济南250357 [2]兰州交通大学研究院自动控制研究所,甘肃兰州730000

出　　处：《计算机仿真》2024年第10期106-109,264,共5页Computer Simulation

摘　　要：信号区间电缆数量众多,分布范围广,且存在噪声干扰,使得检测难度加大。为了尽量避免老化电缆所带来的不良影响,提出基于BFGS算法的铁路区间老化电缆故障检测方法。通过高斯滤波的方式对采集的电缆故障信号实施去噪处理,避免噪声干扰,利用S变换实现对去噪后的老化电缆故障特征进行提取,将提取特征输入值BFGS算法中展开计算,以此达到故障检测的目的。经实验验证,所提方法抗噪声干扰能力较强,利用该方法获取的铁路信号区间老化电缆故障检测效果较好。At present,numerous and wide-range distribution of signal cables in railway sections,as well as the interference of noise make detection more difficult.In order to avoid the adverse effects of aging cables as much as possible,this paper put forward a fault detection method for aging cables in railway sections based on the BFGS(Broyden-Fletcher-Goldfarb-Shanno)algorithm.The method first used a Gaussian filter to denoise the collected cable fault signals,thus avoiding the interference of noise.Moreover,the method used S transform to extract the fault features of the denoised aging cables,and then input the extracted features into the BFCS algorithm for calculation,so as to achieve fault detection.Experimental results prove that the proposed method has strong anti-noise-interference ability.And the effect of aging cable fault detection obtained by this method is better.

关 键 词：铁路信号区间内 老化电缆 故障检测 信号去噪 特征提取 

分 类 号：TP393[自动化与计算机技术—计算机应用技术]