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1. 发明授权

US09483820B2 Method and system for detecting a damaged component of a machine 有权
标题翻译：用于检测机器损坏部件的方法和系统
公开(公告)号：US09483820B2
公开(公告)日：2016-11-01
申请号：US14282296
申请日：2014-05-20
申请人： General Electric Company
发明人： Ser Nam Lim , Jilin Tu , Li Guan , Craig Ronald Hoffmann
IPC分类号： G06K9/00 , G06T7/00 , G06K9/62 , G06K9/52 , G06K9/46
CPC分类号： G06T7/001 , G06K9/46 , G06K9/4642 , G06K9/4671 , G06K9/52 , G06K9/62 , G06K9/6215 , G06K9/6218 , G06K9/6267 , G06K2209/19 , G06T2207/10016 , G06T2207/30164
摘要： A method and system for detecting a damaged machine component during operation of the machine are provided. The damaged machine component detection system includes one or more processors, one or more memory devices communicatively coupled to the one or more processors, an image capture device configured to generate a stream of temporally-spaced images of a scene including a machine component of interest, the images generated in real-time, and a grouping model configured to compare features of a current image of the stream of images to features of previously captured images sorted into a plurality of groups of images having similar features, generate an alert if predetermined features of the current image deviate from corresponding features of the grouped images by a predetermined amount, and update the groups with the current image if the predetermined features of the current image are similar to corresponding features of the grouped images by a predetermined amount. The system also includes an output device configured to output at least one of the alert and the current image.
摘要翻译：提供了一种用于在机器运行期间检测损坏的机器部件的方法和系统。损坏的机器部件检测系统包括一个或多个处理器，通信地耦合到一个或多个处理器的一个或多个存储器设备，被配置为生成包括感兴趣的机器部件的场景的时间间隔图像的图像捕获设备，实时生成的图像，以及分组模型，其被配置为将图像流的当前图像的特征与排列成具有相似特征的多组图像的先前拍摄图像的特征进行比较，如果预定特征如果当前图像的预定特征与分组图像的对应特征类似于预定量，则当前图像与分组图像的相应特征偏离预定量，并且更新具有当前图像的组。该系统还包括被配置为输出警报和当前图像中的至少一个的输出设备。

2. 发明申请

US20150339810A1 METHOD AND SYSTEM FOR DETECTING A DAMAGED COMPONENT OF A MACHINE 有权
标题翻译：用于检测机器损坏部件的方法和系统
公开(公告)号：US20150339810A1
公开(公告)日：2015-11-26
申请号：US14282296
申请日：2014-05-20
申请人： General Electric Company
发明人： Ser Nam Lim , Jilin Tu , Li Guan , Craig Ronald Hoffmann
IPC分类号： G06T7/00 , G06K9/52 , G06K9/46 , G06K9/62
CPC分类号： G06T7/001 , G06K9/46 , G06K9/4642 , G06K9/4671 , G06K9/52 , G06K9/62 , G06K9/6215 , G06K9/6218 , G06K9/6267 , G06K2209/19 , G06T2207/10016 , G06T2207/30164
摘要： A method and system for detecting a damaged machine component during operation of the machine are provided. The damaged machine component detection system includes one or more processors, one or more memory devices communicatively coupled to the one or more processors, an image capture device configured to generate a stream of temporally-spaced images of a scene including a machine component of interest, the images generated in real-time, and a grouping model configured to compare features of a current image of the stream of images to features of previously captured images sorted into a plurality of groups of images having similar features, generate an alert if predetermined features of the current image deviate from corresponding features of the grouped images by a predetermined amount, and update the groups with the current image if the predetermined features of the current image are similar to corresponding features of the grouped images by a predetermined amount. The system also includes an output device configured to output at least one of the alert and the current image.
摘要翻译：提供了一种用于在机器运行期间检测损坏的机器部件的方法和系统。损坏的机器部件检测系统包括一个或多个处理器，通信地耦合到一个或多个处理器的一个或多个存储器设备，被配置为生成包括感兴趣的机器部件的场景的时间间隔图像的图像捕获设备，实时生成的图像，以及分组模型，其被配置为将图像流的当前图像的特征与排列成具有相似特征的多组图像的先前拍摄图像的特征进行比较，如果预定特征如果当前图像的预定特征与分组图像的对应特征类似于预定量，则当前图像与分组图像的相应特征偏离预定量，并且更新具有当前图像的组。该系统还包括被配置为输出警报和当前图像中的至少一个的输出设备。

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