Optimal Design of Online Measuring System for Water Content of Lubricating Oil System
Nan Xie, Weimin Chen, Yijia Yuan
Available Online February 2016.
- https://doi.org/10.2991/emcm-15.2016.76How to use a DOI?
- Oil water content detection; Capacitor; Neural network; Data fusion processing; Optimal design
- 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.
- Open Access
- This is an open access article distributed under the CC BY-NC license.
Cite this article
TY - CONF AU - Nan Xie AU - Weimin Chen AU - Yijia Yuan PY - 2016/02 DA - 2016/02 TI - Optimal Design of Online Measuring System for Water Content of Lubricating Oil System BT - International Conference on Electronics, Mechanics, Culture and Medicine PB - Atlantis Press SP - 407 EP - 411 SN - 2352-538X UR - https://doi.org/10.2991/emcm-15.2016.76 DO - https://doi.org/10.2991/emcm-15.2016.76 ID - Xie2016/02 ER -