Optimal Design of Online Measuring System for Water Content of Lubricating Oil System

被引：0
|
作者：
Xie, Nan [1 ]
Chen, Weimin [2 ]
Yuan, Yijia [1 ]
机构：
[1] Zhejiang Univ Water Resource & Elect Power, Hangzhou, Zhejiang, Peoples R China
[2] China Jiliang Univ, Coll Mech & Elect Engn, Hangzhou, Zhejiang, Peoples R China
来源：
PROCEEDINGS OF THE INTERNATIONAL CONFERENCE ON ELECTRONICS, MECHANICS, CULTURE AND MEDICINE | 2016年 / 45卷
关键词：
Oil water content detection; Capacitor; Neural network; Data fusion processing; Optimal design;
D O I：
暂无
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
The measuring of water content in oil products affects the reliability and safety of the steel high speed wire rod production. Based on the existing capacitance sensor online water content detector, the neural network algorithm is used to deal with the data fusion processing with the 3D temperature experimental calibration data of the capacitance value, speed and temperature of the lubricating oil and the corresponding dielectric constant of the speed of the rolling mill in the high speed wire mill. And then, we could design optimal for capacitance lubricating oil water content detecting system. The experimental results have indicated that the method can eliminate the influence of lubrication system's air bubble and greatly improve the detection accuracy of lubricating oil water content online. Also, it has a good market promotion and application value.
引用
收藏
页码：274 / 278
页数：5
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