球磨机筒体振动信号监测方法研究

王恒; 贾民平; 黄鹏; 陈左亮

球磨机筒体振动信号监测方法研究

1.
南通大学机械工程学院, 南通 226019;
2.
东南大学机械工程学院, 南京 211189;
3.
大唐南京下关发电厂, 南京 210011

基金项目:

国家自然科学基金项目(50775035)

江苏省自然科学基金项目(BK2011391)

南通市应用研究计划项目(BK2011036)资助

详细信息

作者简介:
王恒(1981-)，讲师，博士，研究方向为复杂系统建模与控制和机电测控技术，wangheng@ntu.edu.cn

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- 文章访问数: 107
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- 被引次数: 0
出版历程
- 收稿日期: 2012-08-27
- 刊出日期: 2015-06-10

On the Monitoring Method of Vibration Signal in the Ball Mill Shell

1.
College of Mechanical Engineering, Nantong University, Nantong 226019;
2.
College of Mechanical Engineering, Southeast University, Nanjing 211189;
3.
Datang Nanjing Xiaguan Power Plant, Nanjing 210011

摘要

摘要: 针对球磨机料位检测的现实需要,提出了一种球磨机筒体振动信号采集方法。结合筒内料位分布特点,确定了筒体振动传感器类型和测点位置;给出了筒体信号无线采集的总体结构;基于钢球冲击模型和理想化钢球分层模型,并结合采集的筒体实际振动数据确定了振动信号的采样频率、采样点数、采样区域等参数,某电厂现场采集球磨机筒体振动数据表明了该方法的有效性。
- 球磨机 /
- 料位 /
- 筒体振动信号 /
- 采集
Abstract: Aiming at the measurement requirement for the filling level of ball mill,a new monitoring approach for vibration signals of the mill shell is proposed. Firstly,the type and install position for sensors are determined combining the distribution of filling level in ball mill. Secondly,the main structure of wireless sampling system is given. Finally,the sampling frequency,number and region for the vibration signal of mill shell are obtained based on the steel ball impact model and the ideal layered model of the steel ball combining the practical vibration data of power plant. The results demonstrate that the present monitoring method is effective.
- cutoff frequency /
- calculations /
- mathematical models /
- measurements

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参考文献(13)

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