公开(公告)号：US09792555B2

公开(公告)日：2017-10-17

申请号：US14106919

申请日：2013-12-16

申请人： Xuefei Guan ,  Jingdan Zhang ,  Shaohua Kevin Zhou ,  Kai Kadau ,  Yan Guo ,  El Mahjoub Rasselkorde ,  Waheed A. Abbasi ,  Chin-Sheng Lee ,  Ashley L. Lewis ,  Steve H. Radke

发明人： Xuefei Guan ,  Jingdan Zhang ,  Shaohua Kevin Zhou ,  Kai Kadau ,  Yan Guo ,  El Mahjoub Rasselkorde ,  Waheed A. Abbasi ,  Chin-Sheng Lee ,  Ashley L. Lewis ,  Steve H. Radke

IPC分类号： G06N7/00 ,  G06F17/50 ,  G01N29/44

CPC分类号： G06N7/005 ,  G01N29/4472 ,  G01N2203/0066 ,  G01N2203/0073 ,  G01N2203/0214 ,  G01N2291/0258 ,  G06F17/5009

摘要： A method for probabilistic fatigue life prediction using nondestructive testing data considering uncertainties from nondestructive examination (NDE) data and fatigue model parameters. The method utilizes uncertainty quantification models for detection, sizing, fatigue model parameters and inputs. A probability of detection model is developed based on a log-linear model coupling an actual flaw size with a nondestructive examination (NDE) reported size. A distribution of the actual flaw size is derived for both NDE data without flaw indications and NDE data with flaw indications by using probabilistic modeling and Bayes theorem. A turbine rotor example with real world NDE inspection data is presented to demonstrate the overall methodology.

公开(公告)号：US20140200853A1

公开(公告)日：2014-07-17

申请号：US14146751

申请日：2014-01-03

申请人： Xuefei Guan ,  Jingdan Zhang ,  Shaohua Kevin Zhou ,  El Mahjoub Rasselkorde ,  Waheed A. Abbasi ,  Steve H. Radke ,  Chin-Sheng Lee ,  Ashley L. Lewis

发明人： Xuefei Guan ,  Jingdan Zhang ,  Shaohua Kevin Zhou ,  El Mahjoub Rasselkorde ,  Waheed A. Abbasi ,  Steve H. Radke ,  Chin-Sheng Lee ,  Ashley L. Lewis

IPC分类号： G01N29/44

CPC分类号： G01N29/4445 ,  G01N29/069 ,  G01N2291/2693 ,  G06T17/00

摘要： A method and software system for flaw identification, grouping and sizing for fatigue life assessment for rotors used in turbines and generators. The method includes providing ultrasonic data of a plurality of rotor slices and providing volume reconstruction of the ultrasonic data. The method also includes providing in-slice identification, grouping and sizing of flaw indications in the rotor based on the volume reconstruction. Further, the method includes providing inter-slice identification, grouping and sizing of the flaw indications based on the in-slice flaw indications and providing flaw location and size information. The method can be used in both phased-array and A-scan inspections.

摘要翻译： 用于涡轮机和发电机中使用的转子的疲劳寿命评估的缺陷识别，分组和尺寸的方法和软件系统。 该方法包括提供多个转子切片的超声波数据并提供超声波数据的体积重建。 该方法还包括基于体积重建提供转子中的缺陷指示的片内识别，分组和尺寸。 此外，该方法包括基于片内缺陷指示提供缺陷指示的片间识别，分组和大小，并提供缺陷位置和大小信息。 该方法可用于相控阵和A扫描检查。

公开(公告)号：US09835596B2

公开(公告)日：2017-12-05

申请号：US14146751

申请日：2014-01-03

申请人： Xuefei Guan ,  Jingdan Zhang ,  Shaohua Kevin Zhou ,  El Mahjoub Rasselkorde ,  Waheed A. Abbasi ,  Steve H. Radke ,  Chin-Sheng Lee ,  Ashley L. Lewis

发明人： Xuefei Guan ,  Jingdan Zhang ,  Shaohua Kevin Zhou ,  El Mahjoub Rasselkorde ,  Waheed A. Abbasi ,  Steve H. Radke ,  Chin-Sheng Lee ,  Ashley L. Lewis

IPC分类号： G01N29/44 ,  G01N29/06 ,  G06T17/00

CPC分类号： G01N29/4445 ,  G01N29/069 ,  G01N2291/2693 ,  G06T17/00

摘要： A method and software system for flaw identification, grouping and sizing for fatigue life assessment for rotors used in turbines and generators. The method includes providing ultrasonic data of a plurality of rotor slices and providing volume reconstruction of the ultrasonic data. The method also includes providing in-slice identification, grouping and sizing of flaw indications in the rotor based on the volume reconstruction. Further, the method includes providing inter-slice identification, grouping and sizing of the flaw indications based on the in-slice flaw indications and providing flaw location and size information. The method can be used in both phased-array and A-scan inspections.

公开(公告)号：US20140229149A1

公开(公告)日：2014-08-14

申请号：US14106919

申请日：2013-12-16

申请人： Xuefei Guan ,  Jingdan Zhang ,  Shaohua Kevin Zhou ,  Kai Kadau ,  Yan Guo ,  El Mahjoub Rasselkorde ,  Waheed A. Abbasi ,  Chin-Sheng Lee ,  Ashley L. Lewis ,  Steve H. Radke

发明人： Xuefei Guan ,  Jingdan Zhang ,  Shaohua Kevin Zhou ,  Kai Kadau ,  Yan Guo ,  El Mahjoub Rasselkorde ,  Waheed A. Abbasi ,  Chin-Sheng Lee ,  Ashley L. Lewis ,  Steve H. Radke

IPC分类号： G06N7/00 ,  G06F17/50

CPC分类号： G06N7/005 ,  G01N29/4472 ,  G01N2203/0066 ,  G01N2203/0073 ,  G01N2203/0214 ,  G01N2291/0258 ,  G06F17/5009

摘要： A method for probabilistic fatigue life prediction using nondestructive testing data considering uncertainties from nondestructive examination (NDE) data and fatigue model parameters. The method utilizes uncertainty quantification models for detection, sizing, fatigue model parameters and inputs. A probability of detection model is developed based on a log-linear model coupling an actual flaw size with a nondestructive examination (NDE) reported size. A distribution of the actual flaw size is derived for both NDE data without flaw indications and NDE data with flaw indications by using probabilistic modeling and Bayes theorem. A turbine rotor example with real world NDE inspection data is presented to demonstrate the overall methodology.

摘要翻译： 考虑非破坏性检查（NDE）数据和疲劳模型参数的不确定性，使用非破坏性测试数据的概率疲劳寿命预测方法。 该方法利用不确定性量化模型进行检测，大小，疲劳模型参数和输入。 基于将实际缺陷大小与非破坏性检查（NDE）报告的大小相联系的对数线性模型开发了检测概率。 通过使用概率建模和贝叶斯定理，可以为无缺陷指示的NDE数据和缺陷指示的NDE数据导出实际缺陷大小的分布。 提出了具有真实世界NDE检测数据的涡轮转子实例，以演示整体方法。

公开(公告)号：US09541530B2

公开(公告)日：2017-01-10

申请号：US13743601

申请日：2013-01-17

申请人： Xuefei Guan ,  Hui Zhen ,  Jingdan Zhang ,  Shaohua Kevin Zhou ,  Ashley L. Lewis ,  Steve H. Radke ,  Chin-Sheng Lee

发明人： Xuefei Guan ,  Hui Zhen ,  Jingdan Zhang ,  Shaohua Kevin Zhou ,  Ashley L. Lewis ,  Steve H. Radke ,  Chin-Sheng Lee

IPC分类号： G01N29/34 ,  G06F17/00 ,  G01N17/00

CPC分类号： G01N29/34 ,  G01N17/00 ,  G06F17/00

摘要： A method of fatigue life prediction including: calculating a critical crack size of an object of interest; identifying a first flaw in ultrasound data of the object of interest; determining that the first flaw interacts with a second flaw, the first flaw is to be merged with the second flaw, or the first flaw is isolated; calculating an initial crack size based on the determination; and calculating an increase in the initial crack size due to fatigue and creep to determine a number of load cycles until the initial crack size reaches the critical crack size.

摘要翻译： 一种疲劳寿命预测方法，包括：计算感兴趣对象的临界裂纹尺寸; 识别感兴趣对象的超声数据中的第一缺陷; 确定第一缺陷与第二缺陷相互作用，第一缺陷将与第二缺陷合并，或者第一缺陷被隔离; 基于确定计算初始裂纹尺寸; 并计算由于疲劳和蠕变引起的初始裂纹尺寸的增加，以确定直到初始裂纹尺寸达到临界裂纹尺寸为止的负载循环次数。

公开(公告)号：US20130191039A1

公开(公告)日：2013-07-25

申请号：US13743601

申请日：2013-01-17

申请人： Xuefei Guan ,  Hui Zhen ,  Jingdan Zhang ,  Shaohua Kevin Zhou ,  Ashley L. Lewis ,  Steve H. Radke ,  Chin-Sheng Lee

发明人： Xuefei Guan ,  Hui Zhen ,  Jingdan Zhang ,  Shaohua Kevin Zhou ,  Ashley L. Lewis ,  Steve H. Radke ,  Chin-Sheng Lee

IPC分类号： G01N29/34 ,  G06F17/00

CPC分类号： G01N29/34 ,  G01N17/00 ,  G06F17/00

摘要： A method of fatigue life prediction including: calculating a critical crack size of an object of interest; identifying a first flaw in ultrasound data of the object of interest; determining that the first flaw interacts with a second flaw, the first flaw is to be merged with the second flaw, or the first flaw is isolated; calculating an initial crack size based on the determination; and calculating an increase in the initial crack size due to fatigue and creep to determine a number of load cycles until the initial crack size reaches the critical crack size.

摘要翻译： 一种疲劳寿命预测方法，包括：计算感兴趣对象的临界裂纹尺寸; 识别感兴趣对象的超声数据中的第一缺陷; 确定第一缺陷与第二缺陷相互作用，第一缺陷将与第二缺陷合并，或者第一缺陷被隔离; 基于确定计算初始裂纹尺寸; 并计算由于疲劳和蠕变引起的初始裂纹尺寸的增加，以确定直到初始裂纹尺寸达到临界裂纹尺寸为止的负载循环次数。

公开(公告)号：US08699817B2

公开(公告)日：2014-04-15

申请号：US13245003

申请日：2011-09-26

申请人： Jingdan Zhang ,  Moritz Michael Knorr ,  Guozhen Li ,  Shaohua Kevin Zhou ,  El Mahjoub Rasselkorde ,  Waheed A. Abbasi ,  Michael J. Metala

发明人： Jingdan Zhang ,  Moritz Michael Knorr ,  Guozhen Li ,  Shaohua Kevin Zhou ,  El Mahjoub Rasselkorde ,  Waheed A. Abbasi ,  Michael J. Metala

IPC分类号： G06K9/36

CPC分类号： G06T17/00

摘要： An image reconstruction method includes receiving volume data comprising a plurality of sampling points, determining a first conditioning of the sampling points suppressing low amplitudes and conserving maximum amplitudes, determining a second conditioning of the sampling points wherein an influence of a sampling point depends on its distance to a grid point in a sampling grid, determining a kernel comprising a plurality of weighting functions for the first conditioning and the second conditioning to determine an energy spread of each of the plurality of sampling points without determining a shape or size of the kernel, and outputting a reconstructed volume according to the energy spread of each of the plurality of sampling points.

摘要翻译： 图像重建方法包括：接收包含多个采样点的音量数据，确定抑制低振幅的采样点和节省最大振幅的第一调节，确定采样点的影响取决于其距离的采样点的第二调节 到采样网格中的网格点，确定包含用于所述第一调节的多个加权函数的内核和所述第二调节，以确定所述多个采样点中的每一个的能量扩展，而不确定所述内核的形状或大小，以及 根据所述多个采样点中的每一个的能量扩展输出重构的音量。

公开(公告)号：US08525831B2

公开(公告)日：2013-09-03

申请号：US12897821

申请日：2010-10-05

申请人： Jingdan Zhang ,  Moritz Michael Knorr ,  Shaohua Kevin Zhou ,  Waheed A. Abbasi ,  Michael F. Fair ,  Larry C. Himes ,  Michael J. Metala ,  El Mahjoub Rasselkorde

发明人： Jingdan Zhang ,  Moritz Michael Knorr ,  Shaohua Kevin Zhou ,  Waheed A. Abbasi ,  Michael F. Fair ,  Larry C. Himes ,  Michael J. Metala ,  El Mahjoub Rasselkorde

IPC分类号： G06T17/00

CPC分类号： G06T17/00 ,  G01N29/0654 ,  G01N29/262 ,  G01N2291/2693 ,  G06T2200/08

摘要： A method and apparatus for three-dimensional visualization and analysis for automatic non-destructive examination of a solid Rotor using ultrasonic phased array is disclosed. Data is acquired by scanning a solid rotor with a phased array ultrasound transducer producing a plurality of two dimensional ultrasound scans. Each of a plurality of sample points of a plurality of two dimensional ultrasound scans are associated with a corresponding 3D image point of a regular grid. A kernel function for each of the plurality of sample points defining a size and shape of a kernel located at the corresponding image point is determined. A weight is assigned to each kernel which, in one embodiment, is based on the sample point value. A value for each image point of the regular 3D grid is determined based on kernels overlapping each image point. A three-dimensional volume representing the solid rotor is then visualized.

摘要翻译： 公开了一种用于使用超声波相控阵列对固体转子进行自动无损检测的三维可视化和分析的方法和装置。 通过用产生多个二维超声扫描的相控阵超声换能器扫描实体转子来获取数据。 多个二维超声波扫描中的多个采样点中的每一个都与规则网格的对应3D图像点相关联。 确定定义位于相应图像点的内核的大小和形状的多个采样点中的每一个的核函数。 将权重分配给每个内核，其在一个实施例中基于采样点值。 基于与每个图像点重叠的内核来确定常规3D网格的每个图像点的值。 然后显现代表固体转子的三维体积。

公开(公告)号：US20110109627A1

公开(公告)日：2011-05-12

申请号：US12897821

申请日：2010-10-05

申请人： Jingdan Zhang ,  Moritz Michael Knorr ,  Shaohua Kevin Zhou ,  Waheed A. Abbasi ,  Michael F. Fair ,  Larry C. Himes ,  Michael J. Metala ,  El Mahjoub Rasselkorde

发明人： Jingdan Zhang ,  Moritz Michael Knorr ,  Shaohua Kevin Zhou ,  Waheed A. Abbasi ,  Michael F. Fair ,  Larry C. Himes ,  Michael J. Metala ,  El Mahjoub Rasselkorde

IPC分类号： G06T17/00

CPC分类号： G06T17/00 ,  G01N29/0654 ,  G01N29/262 ,  G01N2291/2693 ,  G06T2200/08

摘要： A method and apparatus for three-dimensional visualization and analysis for automatic non-destructive examination of a solid Rotor using ultrasonic phased array is disclosed. Data is acquired by scanning a solid rotor with a phased array ultrasound transducer producing a plurality of two dimensional ultrasound scans. Each of a plurality of sample points of a plurality of two dimensional ultrasound scans are associated with a corresponding 3D image point of a regular grid. A kernel function for each of the plurality of sample points defining a size and shape of a kernel located at the corresponding image point is determined. A weight is assigned to each kernel which, in one embodiment, is based on the sample point value. A value for each image point of the regular 3D grid is determined based on kernels overlapping each image point. A three-dimensional volume representing the solid rotor is then visualized.

摘要翻译： 公开了一种用于使用超声波相控阵列对固体转子进行自动无损检测的三维可视化和分析的方法和装置。 通过用产生多个二维超声扫描的相控阵超声换能器扫描实体转子来获取数据。 多个二维超声波扫描中的多个采样点中的每一个都与规则网格的对应3D图像点相关联。 确定定义位于相应图像点的内核的大小和形状的多个采样点中的每一个的核函数。 将权重分配给每个内核，其在一个实施例中基于采样点值。 基于与每个图像点重叠的内核来确定常规3D网格的每个图像点的值。 然后显现代表固体转子的三维体积。

公开(公告)号：US20120128266A1

公开(公告)日：2012-05-24

申请号：US13245003

申请日：2011-09-26

申请人： Jingdan Zhang ,  Moritz Michael Knorr ,  Guozhen Li ,  Shaohua Kevin Zhou ,  El Mahjoub Rasselkorde ,  Waheed A. Abbasi ,  Michael J. Metala

发明人： Jingdan Zhang ,  Moritz Michael Knorr ,  Guozhen Li ,  Shaohua Kevin Zhou ,  El Mahjoub Rasselkorde ,  Waheed A. Abbasi ,  Michael J. Metala

IPC分类号： G06K9/36

CPC分类号： G06T17/00

摘要： An image reconstruction method includes receiving volume data comprising a plurality of sampling points, determining a first conditioning of the sampling points suppressing low amplitudes and conserving maximum amplitudes, determining a second conditioning of the sampling points wherein an influence of a sampling point depends on its distance to a grid point in a sampling grid, determining a kernel comprising a plurality of weighting functions for the first conditioning and the second conditioning to determine an energy spread of each of the plurality of sampling points without determining a shape or size of the kernel, and outputting a reconstructed volume according to the energy spread of each of the plurality of sampling points.

摘要翻译： 图像重建方法包括：接收包含多个采样点的音量数据，确定抑制低振幅的采样点和节省最大振幅的第一调节，确定采样点的影响取决于其距离的采样点的第二调节 到采样网格中的网格点，确定包含用于所述第一调节的多个加权函数的内核和所述第二调节，以确定所述多个采样点中的每一个的能量扩展，而不确定所述内核的形状或大小，以及 根据所述多个采样点中的每一个的能量扩展输出重构的音量。