| 油水混合物含水率在线检测技术最新研究进展 |
| |
| 引用本文： | 张冬至,胡国清. 油水混合物含水率在线检测技术最新研究进展[J]. 传感器与微系统, 2009, 28(10): 5-8 |
| |
| 作者姓名： | 张冬至 胡国清 |
| |
| 作者单位： | 华南理工大学机械与汽车工程学院,广东,广州,510641 |
| |
| 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。
|
| 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 |
Recent progress of on-line measuring techniques for water content in oil-water mixture |
| |
| ZHANG Dong-zhi,HU Guo-qing. Recent progress of on-line measuring techniques for water content in oil-water mixture[J]. Transducer and Microsystem Technology, 2009, 28(10): 5-8 |
| |
| Authors: | ZHANG Dong-zhi HU Guo-qing |
| |
| Affiliation: | ZHANG Dong-zhi,HU Guo-qing(School of Mechanical , Automotive Engineering,South China University ofTechnology,Guangzhou 510641,China) |
| |
| Abstract: | 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. |
| |
| Keywords: | on-line measurement multi-variable regression data fusion artificial intelligence electrical capacitance tomography modal identification |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
