3) defect identification
缺陷识别
1.
The defect identification and positioning methods were discussed.
介绍了管道超声导波检测技术的理论基础,指出了这一检测方法的技术关键;同时对现有已用于工程应用的导波检测设备与导波检测实验系统作了描述和对比;总结了目前成熟的缺陷识别定位方法,在此基础上,对管道超声导波检测技术的广泛应用提出几点展望。
2.
A novel biological optimization algorithm,particle swarm optimization(PSO) algorithm,is applied in defect identification in the paper.
PSO算法可以不用计算梯度,因此可以和通用的有限元软件结合起来,对比较复杂的缺陷识别问题都可以采用同一手法进行求解,并使得优化算法和有限元编程实现了有效的隔离。
3.
This paper focus on solid propellant of rocket engine defects characteristics automatic extraction and identification technology, which is helpful for propellant automatic ultrasonic NDT and automatic defect identification.
本文围绕固体火箭发动机药柱内部缺陷超声无损自动检测与缺陷自动识别时所需的缺陷特征自动提取和自动识别技术,提出了一种利用小波变换分解所获得超声信号,得到的能量变化量作为药柱缺陷识别的特征量,并将此特征量与药柱缺陷的时域特征结合,用神经网络的方法进行药柱缺陷类型的定性识别。
4) Flaw recognition
缺陷识别
1.
In order to realize the flaw recognition,a special sensor which is composed of a rectangle exciting coil and a foursquare is designed to excite and induce the change of magnetic field,and a method based on the orthogonal LIA is applied to measure the mV-level change of the weak-induced voltage signal.
并在此基础上建立了基于频率扫描技术的缺陷识别模型,结果表明:该检测方法达到了对三维磁场微弱感应信号测量和对任意走向裂纹识别的目的。
5) flaw identification
缺陷识别
1.
Study on method for flaw identification based on support vector machine;
基于支持向量机的石油管线缺陷识别方法研究
2.
Study to the Flaw Identification of Ultrasonic Testing based on Optimal Support Vector Machines;
支持向量机超声缺陷识别法的研究
3.
New material, new method and new theory are the basis of the non-destructive testing(NDT)development, and credible flaw identification, quantitive analysis and non- destructiveevaluation(NDE) are the main research of NDT.
本文以电磁场理论为基础,以仿真分析和实验研究为手段,对缺陷的信号特征及其检测理论和方法进行了深入地研究,实现了不同方法对多种材料或制件的无损检测,主要研究及创新内容如下: 在对基于场量测量的涡流检测理论进行深入研究的基础上,提出了“缺陷环”识别模型的修正算法,建立了“斜率比值”缺陷识别模型及其实现算法,完成了不同类型缺陷的自动识别以及长度的精确测量,提高了检测的速度和可靠性。
6) defect recognition
缺陷识别
1.
Workpiece defect recognition methods based on industrial CT;
基于工业CT的工件缺陷识别方法
2.
Method of defect recognition in solid motor CT testing
固体发动机CT检测中的一种缺陷识别方法
3.
According to the characters and requirements of the nondestructive steel radial tire detection, an X-ray inspection and defect recognition system for all-steel radial tire is designed.
08mm;依据钢丝帘线缺陷的特质设计了相应的缺陷识别算法,在采集图像的同时对轮胎内部典型缺陷的自动识别检测。
补充资料：点缺陷(见晶体缺陷)
点缺陷(见晶体缺陷)
point defect
点缺陷point defeet见晶体缺陷。
说明：补充资料仅用于学习参考，请勿用于其它任何用途。
参考词条