首页> 美国卫生研究院文献>Sensors (Basel Switzerland) >Plug Regime Flow Velocity Measurement Problem Based on Correlability Notion and Twin Plane Electrical Capacitance Tomography: Use Case
【2h】

Plug Regime Flow Velocity Measurement Problem Based on Correlability Notion and Twin Plane Electrical Capacitance Tomography: Use Case

机译:基于可腐蚀性概念和双平面电容断层扫描的插头调节流程速度测量问题:用例

代理获取
本网站仅为用户提供外文OA文献查询和代理获取服务,本网站没有原文。下单后我们将采用程序或人工为您竭诚获取高质量的原文,但由于OA文献来源多样且变更频繁,仍可能出现获取不到、文献不完整或与标题不符等情况,如果获取不到我们将提供退款服务。请知悉。

摘要

In this paper, the authors present the flow velocity measurement based on twin plane sensor electrical capacitance tomography and the cross-correlation method. It is shown that such a technique has a significant restriction for its use, particularly for the plug regime of a flow. The major issue is with the irregular regime of the flow when portions of propagated material appear in different time moments. Thus, the requirement of correlability of analyzed input signal patterns should be met. Therefore, the checking of the correlability should be considered by such a technique. The article presents a study of the efficiency of the original algorithm of automatic extraction of the suitable signal patterns which has been recently proposed, to calculate flow velocity. The obtained results allow for choosing in practice the required parameters of the algorithm to correct the extraction of signal patterns in a proper and accurate way. Various examples of the application of the discussed algorithm were presented, along with the analysis of the influence of the parameters used on the quality of plugs identification and determination of material flow.
机译:本文介绍了基于双平面传感器电容断层扫描和互相关方法的流速测量。结果表明,这种技术对其使用具有显着的限制,特别是对于流程的插头状态。当传播材料的部分出现在不同的时间时刻时,主要问题是流量的不规则制度。因此,应满足分析的输入信号模式的可相关性的要求。因此,应通过这种技术考虑检查可相关性的检查。该物品呈现了最近提出的合适信号模式的自动提取原始算法的效率研究,以计算流速。所获得的结果允许在实践中选择算法所需参数以校正正确和准确的方式的信号模式的提取。介绍了讨论算法的应用的各种实例,以及分析了用于塞子质量的参数的影响和材料流的测定。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
代理获取

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号