Invention Grant
- Patent Title: Equipment damage prediction system using neural networks
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Application No.: US15477517Application Date: 2017-04-03
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Publication No.: US10268913B2Publication Date: 2019-04-23
- Inventor: Ser Nam Lim , Arpit Jain , David Diwinsky , Sravanthi Bondugula , Yen-Liang Lin , Xiao Bian
- Applicant: General Electric Company
- Applicant Address: US NY Schenectady
- Assignee: General Electric Company
- Current Assignee: General Electric Company
- Current Assignee Address: US NY Schenectady
- Agent Peter A. Flynn
- Main IPC: G06K9/00
- IPC: G06K9/00 ; G06N3/04 ; G06K9/62

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.
Public/Granted literature
- US20180286034A1 EQUIPMENT DAMAGE PREDICTION SYSTEM Public/Granted day:2018-10-04
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