The test data visualization is very useful to study the train aerodynamics.
列车气动试验数据可视化对列车空气动力学研究很重要。
In order to improve the efficiency of magnetic flux leakage (MFL) testing for tank floors, the flaw location, test data description and visualization from anomalistic signals are studied.
针对储罐底板漏磁检测的实际需要，研究了根据异常数据点进行缺陷自动定位、定量描述及可视化的基本方法。
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