摘要
综述了基于油水物性机理、多维回归分析、多传感器信息融合、神经网络人工智能、电容层析成像、油水模态辨识等方法的含水率在线检测技术研究进展,剖析了影响原油含水率测量精度的多种因素,指出了原油含水率在线检测技术的发展趋势。
The recent progress on several dominant on-line measurement methods are reviewed, including detecting methods based on mechanism of oil-water property, multi-variable regression analysis, multi-sensor data fusion, artificial intelligence neural network, electrical capacitance tomography, oil-water modals identification. The multi-factor influences on water content measurement precision are analyzed, and the future development trend of on-line measurement techniques for water content in crude oil is presented.
出处
《传感器与微系统》
CSCD
北大核心
2009年第10期5-8,11,共5页
Transducer and Microsystem Technologies
关键词
在线检测
多维回归
信息融合
人工智能
层析成像
模态辨识
on-line measurement
multi-variable regression
data fusion
artificial intelligence
electrical capacitance tomography
modal identification
