摘要
针对在铁塔加工过程中角钢在冲孔时会发出一定的声音,提出一种利用声音信号能量比在线识别Q235和Q345两种材质角钢的方法。搭建实验系统,现场采集加工Q235和Q345两种材质角钢的声音信号,分析不同型号角钢对应声音信号的频谱特征,计算信号在特定高频频带与低频频带的能量比值,以及能量比均值和标准差,找到其区别两种材质的能量比取值范围。并且现场采集一定量的信号样本,根据统计学原理并经过试验验证,识别两种钢材材质的正确率可达到95%以上。
In view of the sound from clamping,punching and shearing of angle steel in machining of iron tower,a method for on-line recognizing the steels of Q235 and Q345 by using the energy ratio of sound signal was put forward in this paper.The experiment system for data acquisition was set up.The sound signals from the two angle steels of Q235 and Q345 were collected.The energy ratio,especially high frequency band and low frequency band,and the mean energy ratio and standard deviation of the sound signal were calculated.The range in the energy ratio for the two kinds of angle steels would be found.In addition,a certain amount of sound signal samples in the sense of processing were collect.According to the statistics principle and the test verification,the accuracy for recognizing the two kinds of steels could be reach up to above 95%.
出处
《机械科学与技术》
CSCD
北大核心
2016年第5期800-804,共5页
Mechanical Science and Technology for Aerospace Engineering
基金
国家自然科学基金项目(11002046)
河北省自然科学基金项目(A2011208007)资助
关键词
声音信号
频谱
能量比
在线识别
energy ratio
on-line recognization
sound signal
spectrum
