Burst detection with single-point velocity measurements
Burst detection with single-point velocity measurements
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DOI：
10.1017/s0022112086002094
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发表时间：
1986-01
影响因子：
3.7
通讯作者：
D. Bogard;W. G. Tiederman
中科院分区：
文献类型：
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作者：
D. Bogard;W. G. Tiederman
通过与流动可视化的直接比较，对VITA、Quadrant、TPAV、U -level、Positive slope和VITA边坡突发检测算法的有效性进行了评估。使用位于近壁区域的x型热膜探针在水道中进行测量。从接触探针的爆发中产生的单个喷射物使用染料流可视化来识别。发现每种检测算法的有效性高度依赖于操作参数，即阈值水平和平均或窗口时间。这些参数经过调整，使每个算法检测到的事件数量与流动可视化识别的弹射数量相对应，同时将错误检测的概率降至最低。比较使用这些最佳参数设置的检测算法，发现象限技术具有最高的可靠性，检测弹射的概率高，错误检测的概率低。此外，通过分析喷发间隔时间的概率分布，发现象限技术检测到的喷发可以归类为爆发。
An evaluation of the effectiveness of the VITA, Quadrant, TPAV, U -level, Positive slope, and VITA with slope burst-detection algorithms has been done by making direct comparisons with flow visualization. Measurements were made in a water channel using an X-type hot-film probe located in the near-wall region. Individual ejections from bursts which contacted the probe were identified using dye flow visualization. The effectiveness of each of the detection algorithms was found to be highly dependent on the operational parameters, i.e. threshold levels and averaging or window times. These parameters were adjusted so that the number of events detected by each of the algorithms corresponded to the number of ejections identified by flow visualization, while the probability of a false detection was minimized. Comparing the detection algorithm using these optimum parameter settings, the Quadrant technique was found to have the greatest reliability with a high probability of detecting the ejections and a low probability of false detections. Furthermore, it was found that the ejections detected by the Quadrant technique could be grouped into bursts by analysing the probability distribution of the time between ejections.