公开(公告)号：US07110394B1

公开(公告)日：2006-09-19

申请号：US09892216

申请日：2001-06-25

申请人： Joseph I. Chamdani ,  Michael Corwin ,  Matthew Rogge

发明人： Joseph I. Chamdani ,  Michael Corwin ,  Matthew Rogge

IPC分类号： H04L12/66 ,  H04L12/50

CPC分类号： H04L49/15 ,  H04L49/25 ,  H04L49/40

摘要： A switching device comprises at least two base racks, each base rack including a switch card in communication with a line card across a backplane, the line card having at least an external port. The at least two base racks are coupled such that the switch cards of each are linked. A method for switching a packet comprises introducing the packet into an external port on a first base rack, transmitting the packet from a first cascade port on the first base rack to a second cascade port on a second base rack, and sending the packet out of the second base rack through a second external port.

摘要翻译： 开关装置包括至少两个基架，每个底架包括与跨越背板的线卡通信的开关卡，该线卡具有至少一个外部端口。 所述至少两个基架被联接成使得每一个的交换卡被链接。 一种用于切换分组的方法包括将分组引入第一基架上的外部端口，将分组从第一基架上的第一级联端口传送到第二基架上的第二级联端口，并将分组从 第二个底架通过第二个外部端口。

公开(公告)号：US08146429B2

公开(公告)日：2012-04-03

申请号：US12534581

申请日：2009-08-03

申请人： Ifeanyi Charles Ume ,  Renfu Li ,  Matthew Rogge ,  Tsun-Yen Wu

发明人： Ifeanyi Charles Ume ,  Renfu Li ,  Matthew Rogge ,  Tsun-Yen Wu

IPC分类号： G01N29/04

CPC分类号： G01N29/4445 ,  G01N29/11 ,  G01N29/4481 ,  G01N2291/0258 ,  G01N2291/0427 ,  G01N2291/2675

摘要： A method for determining the type of a defect in a weld may include determining a defect location and a corresponding defect signal by analyzing ultrasonic response signals collected from a plurality of measurement locations along the weld. The defect signal and the plurality of defect proximity signals corresponding to ultrasonic response signals from measurement locations on each side of the defect location may then be input into a trained artificial neural network. The trained artificial neural network may be operable to identify the type of the defect located at the defect location based on the defect signal and the plurality of defect proximity signals and output the type of the defect located at the defect location. The trained artificial neural network may also be operable to determine a defect severity classification based on the defect signal and the plurality of defect proximity signals and output the severity classification.

摘要翻译： 用于确定焊缝中的缺陷类型的方法可以包括通过分析从沿着焊缝的多个测量位置收集的超声响应信号来确定缺陷位置和对应的缺陷信号。 然后可以将缺陷信号和对应于来自缺陷位置每侧的测量位置的超声波响应信号的多个缺陷接近信号输入到经过训练的人造神经网络中。 经训练的人造神经网络可以用于基于缺陷信号和多个缺陷接近信号来识别位于缺陷位置处的缺陷的类型，并输出位于缺陷位置处的缺陷的类型。 经训练的人造神经网络还可以用于基于缺陷信号和多个缺陷接近信号来确定缺陷严重性分类，并输出严重性分类。

公开(公告)号：US08297122B2

公开(公告)日：2012-10-30

申请号：US12488396

申请日：2009-06-19

申请人： Ifeanyi Charles Ume ,  Tsun-Yen Wu ,  Matthew Rogge

发明人： Ifeanyi Charles Ume ,  Tsun-Yen Wu ,  Matthew Rogge

IPC分类号： G01N29/04

CPC分类号： G01N29/07 ,  G01N29/12 ,  G01N29/4427 ,  G01N29/46 ,  G01N2291/267

摘要： A method for processing ultrasonic response signals collected from a plurality of measurement locations along a weld of a test sample to determine the presence of defects in the weld may include filtering an ultrasonic response signal from each measurement location to produce a plurality of filtered response signals for each measurement location, wherein each filtered response signal corresponds to specific types of defects. Thereafter, a plurality of energy distributions may be calculated for the weld based on the plurality of filtered response signals for each measurement location. The plurality of energy distributions may be compared to corresponding baseline energy distributions to determine the presence of defects in the weld.

摘要翻译： 一种用于处理从沿着测试样品的焊缝的多个测量位置收集的超声波响应信号以确定焊缝中缺陷的存在的方法可以包括从每个测量位置过滤超声波响应信号以产生多个经滤波的响应信号 每个测量位置，其中每个滤波的响应信号对应于特定类型的缺陷。 此后，可以基于针对每个测量位置的多个滤波响应信号来计算焊接的多个能量分布。 可以将多个能量分布与相应的基线能量分布进行比较，以确定焊缝中缺陷的存在。

公开(公告)号：US20100319456A1

公开(公告)日：2010-12-23

申请号：US12488396

申请日：2009-06-19

申请人： Ifeanyi Charles Ume ,  Tsun-Yen Wu ,  Matthew Rogge

发明人： Ifeanyi Charles Ume ,  Tsun-Yen Wu ,  Matthew Rogge

IPC分类号： G01N29/04

CPC分类号： G01N29/07 ,  G01N29/12 ,  G01N29/4427 ,  G01N29/46 ,  G01N2291/267

摘要： A method for processing ultrasonic response signals collected from a plurality of measurement locations along a weld of a test sample to determine the presence of defects in the weld may include filtering an ultrasonic response signal from each measurement location to produce a plurality of filtered response signals for each measurement location, wherein each filtered response signal corresponds to specific types of defects. Thereafter, a plurality of energy distributions may be calculated for the weld based on the plurality of filtered response signals for each measurement location. The plurality of energy distributions may be compared to corresponding baseline energy distributions to determine the presence of defects in the weld.

摘要翻译： 一种用于处理从沿着测试样品的焊缝的多个测量位置收集的超声波响应信号以确定焊缝中缺陷的存在的方法可以包括从每个测量位置过滤超声波响应信号以产生多个经滤波的响应信号 每个测量位置，其中每个滤波的响应信号对应于特定类型的缺陷。 此后，可以基于针对每个测量位置的多个滤波响应信号来计算焊接的多个能量分布。 可以将多个能量分布与相应的基线能量分布进行比较，以确定焊缝中缺陷的存在。

公开(公告)号：US20110023610A1

公开(公告)日：2011-02-03

申请号：US12534581

申请日：2009-08-03

申请人： Ifeanyi Charles Ume ,  Renfu Li ,  Matthew Rogge ,  Tsun-Yen Wu

发明人： Ifeanyi Charles Ume ,  Renfu Li ,  Matthew Rogge ,  Tsun-Yen Wu

IPC分类号： G01N29/024

CPC分类号： G01N29/4445 ,  G01N29/11 ,  G01N29/4481 ,  G01N2291/0258 ,  G01N2291/0427 ,  G01N2291/2675

摘要： A method for determining the type of a defect in a weld may include determining a defect location and a corresponding defect signal by analyzing ultrasonic response signals collected from a plurality of measurement locations along the weld. The defect signal and the plurality of defect proximity signals corresponding to ultrasonic response signals from measurement locations on each side of the defect location may then be input into a trained artificial neural network. The trained artificial neural network may be operable to identify the type of the defect located at the defect location based on the defect signal and the plurality of defect proximity signals and output the type of the defect located at the defect location. The trained artificial neural network may also be operable to determine a defect severity classification based on the defect signal and the plurality of defect proximity signals and output the severity classification.

摘要翻译： 用于确定焊缝中的缺陷类型的方法可以包括通过分析从沿着焊缝的多个测量位置收集的超声响应信号来确定缺陷位置和对应的缺陷信号。 然后可以将缺陷信号和对应于来自缺陷位置每侧的测量位置的超声波响应信号的多个缺陷接近信号输入到经过训练的人造神经网络中。 经训练的人造神经网络可以用于基于缺陷信号和多个缺陷接近信号来识别位于缺陷位置处的缺陷的类型，并输出位于缺陷位置处的缺陷的类型。 经训练的人造神经网络还可以用于基于缺陷信号和多个缺陷接近信号来确定缺陷严重性分类，并输出严重性分类。

公开(公告)号：US08256296B2

公开(公告)日：2012-09-04

申请号：US12534296

申请日：2009-08-03

申请人： Ifeanyi Charles Ume ,  Renfu Li ,  Matthew Rogge ,  Tsun-Yen Wu

发明人： Ifeanyi Charles Ume ,  Renfu Li ,  Matthew Rogge ,  Tsun-Yen Wu

IPC分类号： G01N29/00

CPC分类号： G01N29/449 ,  G01N29/11 ,  G01N2291/0258 ,  G01N2291/2675 ,  G01N2291/2694

摘要： A method for processing ultrasonic response signals collected from a plurality of measurement locations along a weld to determine the presence of a defect in the weld may include filtering an ultrasonic response signal from each of the measurement locations to produce a filtered response signal for each of the measurement locations. Thereafter, an ultrasonic energy for each of the measurement locations is calculated with the corresponding filtered response signal. The ultrasonic energy for each measurement location is then compared to the ultrasonic energy of adjacent measurement locations to identify potential defect locations. When the ultrasonic energy of a measurement location is less than the ultrasonic energy of the adjacent measurement locations, the measurement location is a potential defect location. The presence of a defect in the weld is then determined by analyzing fluctuations in the ultrasonic energy at measurement locations neighboring the potential defect locations.

摘要翻译： 一种用于处理从沿着焊缝的多个测量位置收集的超声波响应信号以确定焊缝中缺陷的存在的方法可以包括从每个测量位置过滤超声波响应信号，以产生经过滤波的响应信号， 测量位置。 此后，用相应的滤波响应信号计算每个测量位置的超声波能量。 然后将每个测量位置的超声能量与相邻测量位置的超声能量进行比较，以识别潜在的缺陷位置。 当测量位置的超声能量小于相邻测量位置的超声波能量时，测量位置是潜在的缺陷位置。 然后通过分析与潜在缺陷位置相邻的测量位置处的超声能量的波动来确定焊缝中存在缺陷。

公开(公告)号：US20110023609A1

公开(公告)日：2011-02-03

申请号：US12534296

申请日：2009-08-03

申请人： Ifeanyi Charles Ume ,  Renfu Li ,  Matthew Rogge ,  Tsun-Yen Wu

发明人： Ifeanyi Charles Ume ,  Renfu Li ,  Matthew Rogge ,  Tsun-Yen Wu

IPC分类号： G01N29/11

CPC分类号： G01N29/449 ,  G01N29/11 ,  G01N2291/0258 ,  G01N2291/2675 ,  G01N2291/2694

摘要： A method for processing ultrasonic response signals collected from a plurality of measurement locations along a weld to determine the presence of a defect in the weld may include filtering an ultrasonic response signal from each of the measurement locations to produce a filtered response signal for each of the measurement locations. Thereafter, an ultrasonic energy for each of the measurement locations is calculated with the corresponding filtered response signal. The ultrasonic energy for each measurement location is then compared to the ultrasonic energy of adjacent measurement locations to identify potential defect locations. When the ultrasonic energy of a measurement location is less than the ultrasonic energy of the adjacent measurement locations, the measurement location is a potential defect location. The presence of a defect in the weld is then determined by analyzing fluctuations in the ultrasonic energy at measurement locations neighboring the potential defect locations.

摘要翻译： 一种用于处理从沿着焊缝的多个测量位置收集的超声波响应信号以确定焊缝中缺陷的存在的方法可以包括从每个测量位置过滤超声波响应信号，以产生经过滤波的响应信号， 测量位置。 此后，用相应的滤波响应信号计算每个测量位置的超声波能量。 然后将每个测量位置的超声能量与相邻测量位置的超声能量进行比较，以识别潜在的缺陷位置。 当测量位置的超声能量小于相邻测量位置的超声波能量时，测量位置是潜在的缺陷位置。 然后通过分析与潜在缺陷位置相邻的测量位置处的超声能量的波动来确定焊缝中存在缺陷。