Equipment damage prediction system using neural networks
US10268913B2 · kind B2 · utility
3Cited by
7References
20Claims
0Family size
Assignee
Inventors
Key dates
| Filing date | Apr 3, 2017 |
| Grant date | Apr 23, 2019 |
| Priority date | — |
| Expiry date | Jul 19, 2037 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06T2207/30164
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
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.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.