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1. 发明授权

US10445871B2 Image analysis neural network systems 有权
公开(公告)号：US10445871B2
公开(公告)日：2019-10-15
申请号：US15600948
申请日：2017-05-22
申请人： General Electric Company
发明人： Ser Nam Lim , Xiao Bian , David Scott Diwinsky
IPC分类号： G06K9/62 , G06T7/00 , G06K9/00 , G06K9/46
摘要： A method includes obtaining a series of images of a rotating target object through multiple revolutions of the target object. The method includes grouping the images into multiple, different sets of images. The images in each of the different sets depict a common portion of the target object. At least some of the images in each set are obtained during a different revolution of the target object. The method further includes examining the images in at least a first set of the multiple sets of images using an artificial neural network for automated object-of-interest recognition by the artificial neural network.

2. 发明申请

US20160180199A1 AUTOMATIC SURVEILLANCE VIDEO MATTING USING A SHAPE PRIOR 审中-公开
标题翻译：使用形状的自动监视视频匹配
公开(公告)号：US20160180199A1
公开(公告)日：2016-06-23
申请号：US15056669
申请日：2016-02-29
申请人： General Electric Company
发明人： Ting Yu , Peter Henry Tu , Xiaoming Liu , Ser Nam Lim
IPC分类号： G06K9/62 , G06T11/60 , G06K9/52 , G06T7/00 , H04N5/272
CPC分类号： G06K9/6256 , G06K9/52 , G06K9/621 , G06T7/11 , G06T7/194 , G06T7/33 , G06T11/60 , G06T2207/20081 , G06T2207/20221 , G06T2207/30196 , G06T2207/30204 , H04N5/272
摘要： A novel technique for performing video matting, which is built upon a proposed image matting algorithm that is fully automatic is disclosed. The disclosed methods utilize a PCA-based shape model as a prior for guiding the matting process, so that manual interactions required by most existing image matting methods are unnecessary. By applying the image matting algorithm to these foreground windows, on a per frame basis, a fully automated video matting process is attainable. The process of aligning the shape model with the object is simultaneously optimized based on a quadratic cost function.
摘要翻译：公开了一种用于执行视频消隐的新技术，其基于所提出的全自动图像消隐算法。所公开的方法利用基于PCA的形状模型作为先前指导消光处理，使得大多数现有图像消光方法所需的手动交互是不必要的。通过将图像消隐算法应用于这些前景窗口，在每帧的基础上，可以实现完全自动化的视频消隐处理。基于二次成本函数，同时优化了形状模型与对象的对齐过程。

3. 发明申请

US20160178532A1 SYSTEM AND METHOD FOR ENGINE INSPECTION 审中-公开
标题翻译：发动机检查系统与方法
公开(公告)号：US20160178532A1
公开(公告)日：2016-06-23
申请号：US14577255
申请日：2014-12-19
申请人： GENERAL ELECTRIC COMPANY
发明人： Ser Nam Lim , Joseph Vincent Pawlowski , Li Guan , Yogesh Agarwal , Binod Pandey , Srivatsa Dhanvantri
IPC分类号： G01N21/88 , G01N21/954
CPC分类号： G01N21/8851 , F01D21/003 , F05D2260/80 , G01B11/24 , G01B2210/52 , G01N21/9515 , G01N21/954
摘要： An optical imaging and processing system includes an optical connection and an optical element disposed at a first end of the optical connection. The first end of the optical connection is configured to extend into a turbine component interior such that the optical element is disposed within the turbine component interior. The system also includes a photodiode array disposed at a second end of the optical connection, where the optical element is configured to transmit a video stream of the turbine component interior to the photodiode array as the optical element is moved within the turbine component interior between multiple vantage points. The system also includes a processor coupled to the photodiode array, wherein the processor is configured to process the video stream to generate a three-dimensional model of at least a portion of the turbine component interior without utilizing a previously defined three-dimensional model input of the turbine component interior.
摘要翻译：光学成像和处理系统包括光学连接和设置在光学连接的第一端的光学元件。光学连接的第一端构造成延伸到涡轮机部件内部，使得光学元件设置在涡轮机部件内部内。该系统还包括设置在光学连接的第二端处的光电二极管阵列，其中光学元件被配置为当光学元件在涡轮机部件内部在多个之间移动时将涡轮机部件内部的视频流传输到光电二极管阵列有利点。该系统还包括耦合到光电二极管阵列的处理器，其中处理器被配置为处理视频流以生成涡轮机部件内部的至少一部分的三维模型，而不利用先前定义的三维模型输入涡轮机组件内部。

4. 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。

5. 发明申请

US20220374003A1 APPARATUS, SYSTEM AND METHOD FOR DEVELOPING INDUSTRIAL PROCESS SOLUTIONS USING ARTIFICIAL INTELLIGENCE 有权
公开(公告)号：US20220374003A1
公开(公告)日：2022-11-24
申请号：US16245404
申请日：2019-01-11
申请人： General Electric Company
发明人： Mustafa Gokhan Uzunbas , Ser Nam Lim , Ashish Jain , Vladimir Shapiro , Weiwei Qian , Mohamad Bagheri Esfe
IPC分类号： G05B19/418
摘要： An apparatus, system and method of providing industrial analytics. The apparatus, system and method include at least a plurality of sensors sensing performance indicators for an industrial process across multiple nodes, wherein ones of the multiple nodes are remote from each other; at least one machine learning module comprising non-transitory computing code executed by a processor. When executed by the processor, the code causes the steps of: receiving user input regarding at least the industrial process and a data set; selecting a model based on at least the user input, wherein the selected model comprises a plurality of learnings based on the performance indicators sensed by multiple sensors across at least multiple ones of the multiple nodes; applying the selected model to the data set; assessing at least the performance indicators for the data set upon application of the selected model; and outputting the assessed performance indicator.

6. 发明申请

US20210302327A1 SYSTEM AND METHOD FOR ENGINE INSPECTION 有权
公开(公告)号：US20210302327A1
公开(公告)日：2021-09-30
申请号：US17345133
申请日：2021-06-11
申请人： General Electric Company
发明人： Ser Nam Lim , Joseph Vincent Pawlowski , Li Guan , Yogesh Agarwal , Binod Pandey , Srivatsa Dhanvantri
IPC分类号： G01N21/88 , G01N21/954 , G01N21/95 , F01D21/00 , G01B11/24
摘要： An optical imaging and processing system includes an optical element and a processor configured to process the plurality of image frames to generate a three-dimensional model of at least a portion of the turbine component interior. The system may also include a display coupled to the processor to display the three-dimensional model. An operator may view and analyze the three-dimensional model on the display for defects. The processor may further be configured to automatically navigate the three-dimensional model to determine defects within the turbine component interior. The system may also include a repositioning device configured to reposition the optical element such that the optical element may capture the plurality of image frames from multiple vantage points within the turbine component interior.

7. 发明授权

US10475174B2 Visual anomaly detection system 有权
公开(公告)号：US10475174B2
公开(公告)日：2019-11-12
申请号：US15480670
申请日：2017-04-06
申请人： General Electric Company
发明人： Ser Nam Lim , David Diwinsky , Yen-Liang Lin , Xiao Bian
IPC分类号： G06T7/194 , G06T7/00 , G06N3/08 , G06K9/00 , G06K9/62 , G06N3/04
摘要： A generative adversarial network (GAN) system includes a generator neural sub-network configured to receive one or more images depicting one or more objects. The generator neural sub-network also is configured to generate a foreground image and a background image based on the one or more images that are received, the generator neural sub-network configured to combine the foreground image with the background image to form a consolidated image. The GAN system also includes a discriminator neural sub-network configured to examine the consolidated image and determine whether the consolidated image depicts at least one of the objects. The generator neural sub-network is configured to one or more of provide the consolidated image or generate an additional image as a training image used to train another neural network to automatically identify the one or more objects in one or more other images.

8. 发明授权

US10268913B2 Equipment damage prediction system using neural networks 有权
公开(公告)号：US10268913B2
公开(公告)日：2019-04-23
申请号：US15477517
申请日：2017-04-03
申请人： General Electric Company
发明人： Ser Nam Lim , Arpit Jain , David Diwinsky , Sravanthi Bondugula , Yen-Liang Lin , Xiao Bian
IPC分类号： G06K9/00 , G06N3/04 , G06K9/62
摘要： A generative adversarial network (GAN) system includes a generator sub-network configured to examine one or more images of actual damage to equipment. The generator sub-network also is configured to create one or more images of potential damage based on the one or more images of actual damage that were examined. The GAN system also includes a discriminator sub-network configured to examine the one or more images of potential damage to determine whether the one or more images of potential damage represent progression of the actual damage to the equipment.

9. 发明授权

US10196927B2 System and method for locating a probe within a gas turbine engine 有权
公开(公告)号：US10196927B2
公开(公告)日：2019-02-05
申请号：US15041160
申请日：2016-02-11
申请人： General Electric Company
发明人： David Scott Diwinsky , Ser Nam Lim
IPC分类号： F01D17/02 , F01D21/00 , G02B23/24 , F01D5/00 , G01N21/95 , G01N21/954
摘要： A method for locating probes within a gas turbine engine may generally include positioning a plurality of location transmitters relative to the engine and inserting a probe through an access port of the engine, wherein the probe includes a probe tip and a location signal receiver configured to receive location-related signals transmitted from the location transmitters. The method may also include determining a current location of the probe tip within the engine based at least in part on the location-related signals and identifying a virtual location of the probe tip within a three-dimensional model of the engine corresponding to the current location of the probe tip within the engine. Moreover, the method may include providing for display the three-dimensional model of the engine, wherein the virtual location of the probe tip is displayed as a visual indicator within the three-dimensional model.

10. 发明授权

US10147021B2 Automatic surveillance video matting using a shape prior 有权
公开(公告)号：US10147021B2
公开(公告)日：2018-12-04
申请号：US15056669
申请日：2016-02-29
申请人： General Electric Company
发明人： Ting Yu , Peter Henry Tu , Xiaoming Liu , Ser Nam Lim
IPC分类号： G06K9/62 , H04N5/272 , G06K9/52 , G06T11/60 , G06T7/33 , G06T7/11 , G06T7/194
摘要： A novel technique for performing video matting, which is built upon a proposed image matting algorithm that is fully automatic is disclosed. The disclosed methods utilize a PCA-based shape model as a prior for guiding the matting process, so that manual interactions required by most existing image matting methods are unnecessary. By applying the image matting algorithm to these foreground windows, on a per frame basis, a fully automated video matting process is attainable. The process of aligning the shape model with the object is simultaneously optimized based on a quadratic cost function.

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