• 主题
高级搜索  >
历史搜索 清空历史
首页> 外文期刊>Journal of Nondestructive Evaluation >Identification of Depth and Size of Subsurface Defects by a Multiple-Voltage Probe Sensor: Analytical and Neural network Techniques
【24h】

Identification of Depth and Size of Subsurface Defects by a Multiple-Voltage Probe Sensor: Analytical and Neural network Techniques

机译：通过多电压探头传感器识别地下缺陷的深度和大小：分析和神经网络技术

获取原文
获取原文并翻译 | 示例
           
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

A theoretical study was conducted using a multiple-voltage probe sensor for detecting nonconducting inclusions in conducting media. Results show that the multiple-voltage probe sensor is capable of providing precise quantitative measurements of submerged nonconducting objects if the surface voltage response has a standard two-peak form. The standard response is observed for well-localized non-slender single inclusions below the sensor surface. In this case, the peak separation distance is associated with the inclusion depth whereas the peak magnitude is associated with the inclusion volume. Linear dependencies of the inclusion depth and the inclusion volume are observed for a wide variety of incursion shapes. The predefined form of the surface voltage response makes it feasible to identify useful signal responses at very high noise levels. This is accomplished by using a 2D neural network classifier, based on the probabilistic neural network. A reasonable recognition error of less than 20% is obtained if the signal-to-noise ratio is large than or equal to 1/10. A metal casting example shows that the multiple-voltage probe sensor can measure inclusion concentrations in hot conducting melts (gas bubbles and sludge) with inclusion radii in the range from 100 to 1000 μm. In contrast to existing particle counter technology, this sensor construction is simple to construct and does not require special aperture and vacuum treatment.
机译：使用多电压探针传感器进行理论研究，用于检测导电介质中的非导电夹杂物。结果表明，如果表面电压响应具有标准的双峰形式，则多电压探头传感器能够提供浸没式非导电物体的精确定量测量。在传感器表面下方的井局部的非细长单个夹杂物中观察到标准响应。在这种情况下，峰值分离距离与包含深度相关联，而峰值幅度与包含体积相关联。对于各种侵入形状，观察到夹杂物深度和包含体积的线性依赖性。表面电压响应的预定义形式使得可以在非常高的噪声水平下识别有用的信号响应。这是通过使用基于概率神经网络的2D神经网络分类器来实现的。如果信噪比大于或等于1/10，则获得合理的识别误差小于20％。金属铸件示例表明，多电压探针传感器可以在热导电熔体（气泡和污泥）中测量包含半径的包含半径的夹杂物浓度，其范围为100至1000μm。与现有的粒子计数器技术相比，该传感器结构易于构造，并且不需要特殊的孔径和真空处理。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

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