节点文献
基于数据融合与互相关技术的气固两相流固相流速测量技术研究
Flow velocity measurement based on data fusion and correlation analysis
【摘要】 将信息处理技术引用到气固两相流参数检测中,初步探讨了应用数据融合技术及互相关技术进行固相颗粒界面平均速度的检测。采用两种方案确定上、下游传感器渡越时间,包括每对传感器采集的数据先进行互相关分析再进行数据加权融合,以及对所有传感器采集的数据先进行融合处理,再对其进行相关分析。通过对这两种信息处理方案进行仿真研究,得到稳定且正确的仿真结果。
【Abstract】 The information processing technology was used into parameter measurements of gas-solid flows.We presented a study on flow average velocity measurement based on data fusion together with correlation analysis.As mentioned in the paper,there were two methods used to determine the transition time of the forward and backward sensors.The research was focused on correlation analysis and data fusion based on collected data from sensors. Simulation results show that the presented methods are stable and effective.
【关键词】 相关技术;
流速测量;
数据融合;
仿真;
【Key words】 correlation analysis; flow velocity measurement; data fusion; simulation;
【Key words】 correlation analysis; flow velocity measurement; data fusion; simulation;
- 【文献出处】 深圳信息职业技术学院学报 ,Journal of Shenzhen Institute of Information Technology , 编辑部邮箱 ,2007年02期
- 【分类号】TP274
- 【被引频次】1
- 【下载频次】127