-
公开(公告)号：US10197473B2
公开(公告)日：2019-02-05
申请号：US14963665
申请日：2015-12-09
Applicant: General Electric Company
Inventor： David Scott Diwinsky , Ser Nam Lim
IPC: G01N21/95 , G01M15/14 , F01D21/00 , G01N21/88 , G06T7/00 , F01D5/00 , G02B23/24 , G01N21/954 , F01D25/24
Abstract: A method for performing a visual inspection of a gas turbine engine may generally include inserting a plurality of optical probes through a plurality of access ports of the gas turbine engine. The access ports may be spaced apart axially along a longitudinal axis of the gas turbine engine such that the optical probes provide internal views of the gas turbine engine from a plurality of different axial locations along the gas turbine engine. The method may also include coupling the optical probes to a computing device, rotating the gas turbine engine about the longitudinal axis as the optical probes are used to simultaneously obtain images of an interior of the gas turbine engine at the different axial locations and receiving, with the computing device, image data associated with the images obtained by each of the optical probes at the different axial locations.
-
公开(公告)号：US20180336674A1
公开(公告)日：2018-11-22
申请号：US15600948
申请日：2017-05-22
Applicant: General Electric Company
Inventor： Ser Nam Lim , Xiao Bian , David Scott Diwinsky
IPC: G06T7/00
CPC classification number: G06T7/0006 , G06K9/00201 , G06K9/4628 , G06K9/6271 , G06T7/97 , G06T2207/20081 , G06T2207/20084 , G06T2207/30164
Abstract: 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.
-
公开(公告)号：US20180322366A1
公开(公告)日：2018-11-08
申请号：US15584129
申请日：2017-05-02
Applicant: General Electric Company
Inventor： Ser Nam Lim , Arpit Jain , David Scott Diwinsky , Sravanthi Bondugula
CPC classification number: G06K9/6259 , G06K9/6256 , G06K9/66 , G06T7/0004 , G06T7/0008 , G06T2207/20081 , G06T2207/20084 , G06T2207/30156 , G06T2207/30164
Abstract: A system that generates training images for neural networks includes one or more processors configured to receive input representing one or more selected areas in an image mask. The one or more processors are configured to form a labeled masked image by combining the image mask with an unlabeled image of equipment. The one or more processors also are configured to train an artificial neural network using the labeled masked image to one or more of automatically identify equipment damage appearing in one or more actual images of equipment and/or generate one or more training images for training another artificial neural network to automatically identify the equipment damage appearing in the one or more actual images of equipment.
-
公开(公告)号：US20180286034A1
公开(公告)日：2018-10-04
申请号：US15477517
申请日：2017-04-03
Applicant: General Electric Company
Inventor： Ser Nam Lim , Arpit Jain , David Diwinsky , Sravanthi Bondugula , Yen-Liang Lin , Xiao Bian
IPC: G06T7/00
CPC classification number: G06K9/00973 , G06K9/00771 , G06K9/6284 , G06K9/6296 , G06N3/0454 , G06T2207/20081 , G06T2207/20084 , G06T2207/30164
Abstract: 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.
-
公开(公告)号：US20170287124A1
公开(公告)日：2017-10-05
申请号：US15090646
申请日：2016-04-05
Applicant: General Electric Company
Inventor： Ser Nam Lim , Ning Zhou , Joao Vitor Baldini Soares
CPC classification number: G06T7/001 , E02F9/267 , E02F9/2808 , G06T7/248 , G06T7/254 , G06T7/269 , G06T7/74 , G06T7/90 , G06T2207/10016 , G06T2207/30164
Abstract: A method for detecting missing tooth in mining shovel, implemented using a processing device, includes receiving a pair of image frames from a camera disposed on a rope mine shovel configured to carry a mining load. A tooth line region corresponding to the pair of image frames is detected to generate a pair of tooth line regions based on a shovel template set. A difference image is determined based on the pair of image frames and the pair of tooth line regions. Further, a response map representative of possible tooth positions is determined based on the difference image using a tooth template matching technique. A tooth line is selected among a plurality of candidate tooth lines based on the response map. Further, a tooth condition is determined based on the tooth line and the difference image. The tooth condition is notified to an operator of the rope mine shovel.
-
Patent Agency Ranking
公开(公告)号：US20170167953A1
公开(公告)日：2017-06-15
申请号：US14963665
申请日：2015-12-09
Applicant: General Electric Company
Inventor： David Scott Diwinsky , Ser Nam Lim
CPC classification number: G01M15/14 , F01D5/005 , F01D21/003 , F01D25/24 , F05D2220/32 , F05D2260/80 , G01N21/8803 , G01N21/95 , G01N21/9515 , G01N21/954 , G01N2201/062 , G01N2201/12 , G02B23/2423 , G06T7/0008 , G06T2207/30164
Abstract: A method for performing a visual inspection of a gas turbine engine may generally include inserting a plurality of optical probes through a plurality of access ports of the gas turbine engine. The access ports may be spaced apart axially along a longitudinal axis of the gas turbine engine such that the optical probes provide internal views of the gas turbine engine from a plurality of different axial locations along the gas turbine engine. The method may also include coupling the optical probes to a computing device, rotating the gas turbine engine about the longitudinal axis as the optical probes are used to simultaneously obtain images of an interior of the gas turbine engine at the different axial locations and receiving, with the computing device, image data associated with the images obtained by each of the optical probes at the different axial locations.
-
公开(公告)号：US09305345B2
公开(公告)日：2016-04-05
申请号：US14260624
申请日：2014-04-24
Applicant: General Electric Company
Inventor： Ser Nam Lim , Jose Abiel Garza , David Scott Diwinsky , Li Guan , Shubao Liu , Xingwei Yang , Jens Rittscher
CPC classification number: G06T7/0004 , G01N2021/8896 , G06K9/52 , G06T7/001 , G06T7/80 , G06T17/00 , G06T19/00 , G06T2200/24 , G06T2207/30164 , G06T2207/30204 , G06T2219/012 , H04N17/00
Abstract: A method for image based inspection of an object includes receiving an image of an object from an image capture device, wherein the image includes a representation of the object with mil-level precision. The method further includes projecting a measurement feature of the object from the image onto a three-dimensional (3D) model of the object based on a final projection matrix; determining a difference between the projected measurement feature and an existing measurement feature on the 3D model; and sending a notification including the difference between the projected measurement feature and the existing measurement feature.
Abstract translation: 一种用于对对象进行图像检查的方法包括从图像捕获装置接收对象的图像，其中所述图像包括具有密度级精度的对象的表示。 所述方法还包括基于最终投影矩阵将所述对象的测量特征从所述图像投影到所述对象的三维（3D）模型上; 确定投影测量特征与3D模型上现有测量特征之间的差异; 并发送包括预测测量特征与现有测量特征之间的差异的通知。
-
38.发明授权Methods and systems for enhanced automated visual inspection of a physical asset 有权增强物理资产自动视觉检查的方法和系统公开(公告)号：US09251582B2
公开(公告)日：2016-02-02
申请号：US13731209
申请日：2012-12-31
Applicant: General Electric Company
Inventor： Ser Nam Lim , Vinod Padmanabhan Kumar , Russell Robert Irving , John Brandon Laflen , Li Guan , Shubao Liu , Xingwei Yang
CPC classification number: G06T7/001 , G06F17/30247 , G06T7/33 , G06T2207/30164 , G06T2207/30244
Abstract: A computer-implemented system for enhanced automated visual inspection of a physical asset includes a visual inspection device capable of generating images of the physical asset and a computing device including a processor and a memory device coupled to the processor. The computing device includes a storage device coupled to the memory device and coupled to the processor. The storage device includes at least one historic image of the physical asset and at least one engineering model substantially representing the physical asset. The computing device is configured to receive, from a present image source, at least one present image of the physical asset captured by the visual inspection device. The computing device is configured to identify at least one matching historic image corresponding to the at least one present image. The computing device is configured to identify at least one matching engineering model corresponding to the at least one present image.
Abstract translation: 用于增强物理资产的自动目视检查的计算机实现的系统包括能够产生物理资产的图像的视觉检查装置和包括耦合到处理器的处理器和存储器件的计算装置。 计算设备包括耦合到存储设备并耦合到处理器的存储设备。 存储设备包括物理资产的至少一个历史图像和基本上表示物理资产的至少一个工程模型。 计算设备被配置为从当前图像源接收由视觉检查设备捕获的物理资产的至少一个当前图像。 计算设备被配置为识别与至少一个当前图像相对应的至少一个匹配的历史图像。 计算设备被配置为识别与至少一个当前图像对应的至少一个匹配工程模型。
-
39.发明申请Methods and Systems for Enhanced Automated Visual Inspection of a Physical Asset 有权增强物理资产自动视觉检查的方法和系统公开(公告)号：US20140185912A1
公开(公告)日：2014-07-03
申请号：US13731209
申请日：2012-12-31
Applicant: GENERAL ELECTRIC COMPANY
Inventor： Ser Nam Lim , Vinod Padmanabhan Kumar , Russell Robert Irving , John Brandon Laflen , Li Guan , Shubao Liu , Xingwei Yang
IPC: G06T7/00
CPC classification number: G06T7/001 , G06F17/30247 , G06T7/33 , G06T2207/30164 , G06T2207/30244
Abstract: A computer-implemented system for enhanced automated visual inspection of a physical asset includes a visual inspection device capable of generating images of the physical asset and a computing device including a processor and a memory device coupled to the processor. The computing device includes a storage device coupled to the memory device and coupled to the processor. The storage device includes at least one historic image of the physical asset and at least one engineering model substantially representing the physical asset. The computing device is configured to receive, from a present image source, at least one present image of the physical asset captured by the visual inspection device. The computing device is configured to identify at least one matching historic image corresponding to the at least one present image. The computing device is configured to identify at least one matching engineering model corresponding to the at least one present image.
Abstract translation: 用于增强物理资产的自动目视检查的计算机实现的系统包括能够产生物理资产的图像的视觉检查装置和包括耦合到处理器的处理器和存储器装置的计算装置。 计算设备包括耦合到存储设备并耦合到处理器的存储设备。 存储设备包括物理资产的至少一个历史图像和基本上表示物理资产的至少一个工程模型。 计算设备被配置为从当前图像源接收由视觉检查设备捕获的物理资产的至少一个当前图像。 计算设备被配置为识别与至少一个当前图像相对应的至少一个匹配的历史图像。 计算设备被配置为识别与至少一个当前图像对应的至少一个匹配工程模型。
-
公开(公告)号：US11536670B2
公开(公告)日：2022-12-27
申请号：US17345133
申请日：2021-06-11
Applicant: General Electric Company
Inventor： Ser Nam Lim , Joseph Vincent Pawlowski , Li Guan , Yogesh Agarwal , Binod Pandey , Srivatsa Dhanvantri
Abstract: 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.
-
-
-
-
-
-
-
-
-
Search Results
53
records
(took 0.022 seconds)
