钢丝绳断丝信号处理技术  

The Signal Processing Technology of Stubble in Steel Rope

作　　者：田志勇[1] 谭继文[2] 文妍[2] 

机构地区：[1]浙江机电职业技术学院电气系,浙江杭州310053 [2]青岛理工大学,山东青岛266033

出　　处：《工矿自动化》2006年第4期13-15,共3页Journal Of Mine Automation

基　　金：国家自然科学基金项目(50475166)

摘　　要：针对目前国内各种钢丝绳检测仪器的不足之处,选定了钢丝绳断丝损伤信号识别的特征量,提出利用神经网络技术对检测信号进行分析处理,以提高检测的精度和灵敏度。并详细叙述了用BP网络建立钢丝绳断丝损伤识别模型的方法。Aiming at defects of all kinds of detector of steel rope at home, characteristic quantity of hurting signal recogniton of stubble in steel rope was selected. Neural network technology was used to analyse and process the signal from the stubble in steel rope in order to improve the accuracy and sensitivity. At the same time, the method of using BP network to establish the model of hurting recognition of stubble in steel rope was expounded.

关 键 词：钢丝绳 断丝 检测 信号处理 神经网络 

分 类 号：TD532[矿业工程—矿山机电]