基于筒体振动信号的球磨机优化工况监测

Research on Optimize Monitoring Method for Ball Mill Based on Mill Shell Vibration Signal

针对球磨机优化工况监测的不足,提出了一种基于筒体振动信号的球磨机优化工况监测方法。首先,在球磨机运行特性分析基础上,研究了最大制粉出力与料位的关系,分析了基于振动信号进行优化工况监测的可能性。其次,基于钢球冲击模型和理想化钢球分层模型,结合筒体上的实际振动数据确定了筒体振动信号的采样参数,并通过与传统的轴承振动信号比较,证实了筒体振动信号更能反映出力的变化。最后,基于现场实测数据,验证了基于筒体振动信号监测球磨机优化工况的有效性。

Aiming at the disadvantage of optimize monitoring method for ball mill, a new approach was proposed based on vibration signals of the mill shell. Firstly, the characteristic curves of ball mill were analyzed, the relationship between maximum pul- verizing capacity and fill level were researched. Secondly, and the sampling parameters for mill shell vibration signal were obtained based on the steel ball impact model and the ideal layered model of the steel ball. The vibration signals of the mill shell were com- pared with the vibration signals of the bearing housing of the mill and reveals that the vibration signals of the mill shell present a higher sensitivity to change on the pulverizing capacity. Finally, experiment results demonstrate that effectively of optimize monito- ring method based on vibration signals of the mill shell.