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磁力泵滑动轴承磨损监测系统的设计
引用本文:曾培,肖开华,袁铁军,孔繁余.磁力泵滑动轴承磨损监测系统的设计[J].排灌机械,2006,24(5):36-39.
作者姓名:曾培  肖开华  袁铁军  孔繁余
作者单位:江苏大学,流体机械工程技术研究中心,江苏,镇江,212013
基金项目:江苏省高新技术项目;江苏省科技计划
摘    要:针对磁力泵滑动轴承磨损在线监测,设计制作了传感器数据采集试验台,大量采集各种工况下的数据,综合使用EXCEL,MATLAB,NEUROSHELL等数据处理软件,用神经网络法和回归分析法进行了数据分析.在此基础上,提出了一种多传感器数据采集系统和多神经网络模型迭代求解的方法,用该方法实现的磁力泵滑动轴承磨损检测,可消除磁力泵轴向窜动变量的影响.试验结果表明测量值与实际值很接近,建立的检测系统能检测滑动轴承的间隙,并达到一定的测量精度.

关 键 词:磁力泵  滑动轴承  神经网络  磨损监测
文章编号:1005-6254(2006)05-0036-04
收稿时间:2006-06-28
修稿时间:2006-06-28

Design of wear monitoring system for sliding bearings of magnetic drive pump
ZENG Pei,XIAO Kai-hua,YUAN Tie-jun,KONG Fan-yu.Design of wear monitoring system for sliding bearings of magnetic drive pump[J].Drainage and Irrigation Machinery,2006,24(5):36-39.
Authors:ZENG Pei  XIAO Kai-hua  YUAN Tie-jun  KONG Fan-yu
Institution:Technical and Research Center of Fluid Machinery Engineering, Jiangsu University, Zhenjiang, Jiangsu 212013, China
Abstract:An experimental device with data collecting sensors to on-line monitor sliding bearings of magnetic drive pump is developed and massive data under different work condition are gathered. The data are processed with data processing softwares such as EXCEL, MATLAB, NEUROSHELL, neural network and regression analysis. A method of multi-sensors data acquisition system and multi-neural network model iteration is proposed. This testing method can eliminate the effect caused by axial move of sliding bearings of magnetic drive pump. The experimental results indicate that the observed value and the actual value agree well.
Keywords:magnetic drive pump  sliding bearing  neural network  wear monitoring
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