High-solidifying Crude Oil Temperature Soft-sensing Based on RBF Neural Network

摘要：

In the underwater crude oil storage system which adopts oil-water separation method,in order to keep the oil fluid, make the oil storage and transport running smoothly, the oil temperature control becomes a crucial consideration. Measuring temperature directly exists some difficulty.RBF neural network soft-sensing model is established to obtain the temperature field distributing of crude oil in storage tank.

关键词： high-solidifying crude oil neural network softsensing modle

作者: Zhou Yilin Guo Huanran

作者单位: Institute of Automation and Electronic Engineering,Qingdao University of Science and Technology,Qingdao China

会议类型: 国际会议

会议名称: 2009 Second International Conference on Intelligent Computation Technology and Automation(2009 第二届IEEE智能计算与自动化国际会议 ICICTA 2009)

会议地点: 长沙

会议语种:英文

页码: 330-333

在线出版日期: 2009-10-10（万方平台首次上网日期，不代表论文的发表时间）