基于振动信号小波分析的球磨机料位检测

作者：杨孝威,许飞云,贾民平 日期：2008-04-23/span> 浏览：4375 查看PDF文档

基于振动信号小波分析的球磨机料位检测
杨孝威,许飞云,贾民平
（东南大学 机械工程学院，江苏 南京 211189）

摘 要：球磨机料位的检测一直是制粉系统优化运行的难点。为了更准确地检测料位，对球磨机轴承座振动加速度信号进行采集，从振动信号中提取了反映料位信息的特征频段，利用小波分析技术对信号进行了能量分析，分离出反映滚筒内存煤量信息的信号，为实现球磨机料位的自动控制提供了理论依据。实际应用表明，该研究可以保证球磨机运行在最佳工况，实现电厂的节能降耗。
关键词：振动信号；球磨机；料位；小波分析；信号处理

Ball mill detecting coal level based on vibration signal wavelet analysis
YANG Xiaowei, XV Feiyun, JIA Minping
(College of Mechanical Engineering, Southeast University, Nanjing 211189, China)

Abstract: In milling system, ball mill load measurement was always a difficulty. In order to detect load in tumbling box correctly, the frequency band that could reflect information of mill ball load was obtained from the vibration signal collected from ball mill bearing block. The signal was analyzed by energy method based on wavelet transform, from which the frequency band signal was picked out to show the corresponding coal level in tumbling box. According to vibration signal collection, it can provide theoretic basis to realize the automatical control of the coal level, thus ensure that ball mill runs in optimal work as well as economize the energy for the plant.
Key words: vibration signal; ball mill; coal level; wavelet transform; signal analysis
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