PROBABILISTIC FATIGUE LIFE PREDICTION USING ULTRASONIC INSPECTION DATA CONSIDERING EIFS UNCERTAINTY
    16.
    发明申请
    PROBABILISTIC FATIGUE LIFE PREDICTION USING ULTRASONIC INSPECTION DATA CONSIDERING EIFS UNCERTAINTY 审中-公开
    使用超声波检查数据考虑EIFS不确定度的概率疲劳寿命预测

    公开(公告)号:US20130268214A1

    公开(公告)日:2013-10-10

    申请号:US13855130

    申请日:2013-04-02

    IPC分类号: G01N29/44

    摘要: A method for probabilistically predicting fatigue life in materials includes sampling a random variable for an actual equivalent initial flaw size (EIFS), generating random variables for parameters (ln C, m) of a fatigue crack growth equation  a  N = C  ( Δ   K ) m from a multivariate distribution, and solving the fatigue crack growth equation using these random variables. The reported EIFS data is obtained by ultrasonically scanning a target object, recording echo signals from the target object, and converting echo signal amplitudes to equivalent reflector sizes using previously recorded values from a scanned calibration block. The equivalent reflector sizes comprise the reported EIFS data.

    摘要翻译: 一种用于概率预测材料疲劳寿命的方法包括对实际等效初始缺陷尺寸(EIFS)采样随机变量,为疲劳裂纹扩展方程的参数(ln C,m)生成随机变量a N = C Delta多普勒K)m,并使用这些随机变量求解疲劳裂纹扩展方程。 报告的EIFS数据是通过超声扫描目标物体,记录来自目标物体的回波信号,并使用先前记录的来自扫描校准块的值将回波信号幅度转换为等效反射镜尺寸而获得的。 等效的反射器尺寸包括报告的EIFS数据。

    CONSTRUCTION OF ENTROPY-BASED PRIOR AND POSTERIOR PROBABILITY DISTRIBUTIONS WITH PARTIAL INFORMATION FOR FATIGUE DAMAGE PROGNOSTICS
    17.
    发明申请
    CONSTRUCTION OF ENTROPY-BASED PRIOR AND POSTERIOR PROBABILITY DISTRIBUTIONS WITH PARTIAL INFORMATION FOR FATIGUE DAMAGE PROGNOSTICS 有权
    基于熵的前期和后期概率分布的构建,具有部分信息用于疲劳损伤预处理

    公开(公告)号:US20140100827A1

    公开(公告)日:2014-04-10

    申请号:US14015084

    申请日:2013-08-30

    IPC分类号: G06F17/50

    摘要: A method for predicting fatigue crack growth in materials includes providing a prior distribution obtained using response measures from one or more target components using a fatigue crack growth model as a constraint function, receiving new crack length measurements, providing a posterior distribution obtained using the new crack length measurements, and sampling the posterior distribution to obtain crack length measurement predictions.

    摘要翻译: 用于预测材料中的疲劳裂纹扩展的方法包括使用疲劳裂纹扩展模型作为约束函数提供使用来自一个或多个目标部件的响应措施获得的先验分布,接收新的裂纹长度测量值,提供使用新裂纹获得的后验分布 长度测量,并对后验分布进行采样,以获得裂纹长度测量预测。

    TURBINE BLADE FATIGUE LIFE ANALYSIS USING NON-CONTACT MEASUREMENT AND DYNAMICAL RESPONSE RECONSTRUCTION TECHNIQUES
    18.
    发明申请
    TURBINE BLADE FATIGUE LIFE ANALYSIS USING NON-CONTACT MEASUREMENT AND DYNAMICAL RESPONSE RECONSTRUCTION TECHNIQUES 审中-公开
    使用非接触式测量和动态响应重构技术的涡轮叶片疲劳寿命分析

    公开(公告)号:US20140100798A1

    公开(公告)日:2014-04-10

    申请号:US14028594

    申请日:2013-09-17

    IPC分类号: G01L5/00

    摘要: A method dynamically reconstructing a stress and strain field of a turbine blade includes providing a set of response measurements from at least one location on a turbine blade, band-pass filtering the set of response measurements based on an upper frequency limit and a lower frequency limit, determining an upper envelope and a lower envelope of the set of response measurements from local minima and local maxima of the set of response measurements, calculating a candidate intrinsic mode function (IMF) from the upper envelope and the lower envelope of the set of response measurements, providing an N×N mode shape matrix for the turbine blade, where N is the number of degrees of freedom of the turbine blade, when the candidate IMF is an actual IMF, and calculating a response for another location on the turbine blade from the actual IMF and mode shapes in the mode shape matrix.

    摘要翻译: 动态重建涡轮叶片的应力和应变场的方法包括从涡轮叶片上的至少一个位置提供一组响应测量值,基于上限频率和较低频率限制对该组响应测量值进行带通滤波 从响应测量集合的局部最小值和局部最大值确定响应测量集合的上包络和下包络,从该响应集合的上包络和下包络计算候选固有模函数(IMF) 提供用于涡轮叶片的N×N模式形状矩阵,其中N是涡轮叶片的自由度的数量,当候选IMF是实际IMF时,以及计算涡轮机叶片上另一位置的响应 模式形状矩阵中的实际IMF和模式形状。

    Data transmission in remote computer assisted detection
    20.
    发明授权
    Data transmission in remote computer assisted detection 有权
    远程计算机辅助检测中的数据传输

    公开(公告)号:US08811697B2

    公开(公告)日:2014-08-19

    申请号:US13080891

    申请日:2011-04-06

    IPC分类号: G06K9/00 G06K9/62 G06T7/00

    摘要: For cloud-based computer assisted detection, hierarchal detection is used, allowing detection on data at progressively greater resolutions. Detected locations at coarser resolutions are used to limit the data transmitted at greater resolutions. Data is only transmitted for neighborhoods around the previously detected locations. Subsequent detection using higher resolution data refines the locations, but only for regions associated with previous detection. By limiting the number and/or size of regions provided at greater resolutions based on the previous detection, the progressive transmission avoids transmission of some data. Additionally, or alternatively, lossy compression may be used without or with minimal reduction in detection sensitivity.

    摘要翻译: 对于基于云的计算机辅助检测,使用层次检测,允许以逐渐更大的分辨率检测数据。 较粗分辨率下的检测位置用于限制以更高分辨率传输的数据。 仅针对先前检测到的位置周围的邻域发送数据。 使用较高分辨率数据的后续检测会优化位置,但仅适用于与先前检测相关的区域。 通过基于先前的检测限制以更大分辨率提供的区域的数量和/或尺寸,逐行传输避免了一些数据的传输。 另外或者可选地,可以使用有损压缩,而不用或以最小的检测灵敏度降低。