摘要
以选煤机为研究对象,对其在工作状态下的振动特性进行分析和监测,从加速度振动信号中提取运行状态特征,根据小波包分解理论,提出一种选煤机工作状态监测新方法。结合能量理论对小波包分解重构信号进行分频段求取能量值,并将求得能量值写成向量形式,根据相关系数的概念,求取各小波包能量向量的相关系数,以判断选煤机的运行状态。结果表明,该方法可对选煤机状态进行有效预警,可以有效地选煤设备的安全运行。
This paper takes the coal separator as the research object,analyzes and monitors its vibration characteristics under the working state,extracts the operating state characteristics from the acceleration vibration signal,and proposes a new method for monitoring the working state of the coal separator according to the Wavelet packet decomposition theory.Combined with the energy theory,the Wavelet packet decomposition reconstruction signal is divided into frequency bands to obtain the energy value,and the obtained energy value is written in vector form.According to the concept of correlation coefficient,the correlation coefficient of each wavelet packet energy vector is calculated to judge the operating state of the coal separator.The results indicate that this method can effectively alert the status of the coal preparation machine and ensure the safe operation of the coal preparation equipment.
作者
田延锋
王安佳
TIAN Yanfeng;WANG Anjia(Shangwan Coal Preparation Plant,CHN Energy Shengdong Coal Preparation Center,Ordos 017209,China)
出处
《洁净煤技术》
CAS
CSCD
北大核心
2024年第S02期43-46,共4页
Clean Coal Technology
关键词
振动监测
选煤机
小波包分解
能量谱
vibration monitoring
coal separator
wavelet packet decomposition
spectrum of energy
