摘要
目的为解决切出的烟丝粗细不均、流量不稳定、空穴跑片等问题。针对切丝机在高速旋转的工作状态下,刀辊主轴及各传动部件的轴承更易出现磨损和故障的现象提出解决方案。方法通过构建实验平台分别采集正常轴承、内圈故障轴承、滚子故障轴承和外圈故障轴承的振动信号,在计算有效值、峰值、绝对均值、脉冲指标、峰值指标、峭度指标6个参数的基础上,提出切丝机轴承故障程度计算新方法。结果研究表明,当转速为1772 r/min和1797 r/min时,时域故障程度、频域故障程度和时频域故障程度3种分析类型的结果保持了高度一致性,即内圈故障程度均大于外圈故障程度,滚子故障程度最小。结论该方法表明时频特征分析综合了时域特征分析和频域特征分析的优点,能有效提高切丝机故障诊断的效率和准确性,并为其他旋转机械的故障诊断提供参考。
The work aims to propose a solution aiming at the condition of main shaft of cutter roller and bearings of driving parts being easy to wear and break down under high-speed rotation of tobacco cutter,so as to solve the prob-lems such as uneven tobacco thickness,unstable flow rate,cavity,missed tobacco,etc.The vibration signals of nor-mal bearing,bearing with faulted inner ring,bearing with faulted roller and bearing with faulted outer ring were col-lected respectively through the construction of experimental platform.Based on the calculation of six parameters in-cluding RMS,peak value,absolute mean value,pulse index,peak value index and kurtosis index,a new method for cal-culating the fault degree of the tobacco cutter bearing was proposed.When the speed was 1772 r/min and 1797 r/min,the analysis results of time-domain fault degree,frequency-domain fault degree and time-frequency domain fault degree were highly consistent,indicating that the fault degree of inner ring was higher than that of outer ring,and the fault degree of roller was the least.The method shows that the time-frequency characteristic analysis combines the ad-vantages of time-domain characteristic analysis and frequency-domain characteristic analysis,which can effectively improve the efficiency and accuracy of fault diagnosis of tobacco cutter and provide reference value for other rotating mechanical fault diagnosis.
作者
李准峰
范磊
赵旭东
徐晓光
LI Zhun-feng;FAN Lei;ZHAO Xu-dong;XU Xiao-guang(Xuchang Cigarette Factory of China Tobacco Henan Industrial Co.,Ltd.,Henan Xuchang 461000,China)
出处
《包装工程》
CAS
北大核心
2022年第15期322-329,共8页
Packaging Engineering
基金
河南省科技攻关项目(202102210087)。
关键词
切丝机
滚动轴承
时域
频域
tobacco cutter
rolling bearing
time domain
frequency domain
