Title:
PREDICTIVE MAINTENANCE METHOD, FOR DEVICE, USING GAN ALGORITHM
Document Type and Number:
WIPO Patent Application WO/2023/120888
Kind Code:
A1
Abstract:
The present invention relates to a predictive maintenance method, for a device, using a GAN algorithm, the method in which a decision module learns a large amount of normal image information, which is collected when the device is in a normal state, and a large amount of quasi-defect image information which is generated by a generation module on the basis of defect image information collected from the device before a malfunction occurs, thereby deciding whether real-time image information, which is collected from the device operating in real time, is a normal image or a defect image. If the real-time image information is decided to be a defect image, the method detects the abnormal state of the device and provides a guide to perform maintenance and replacement of the device at an appropriate time, thereby preventing huge losses due to a malfunction of the device.
Inventors:
LEE YOUNG KYU (KR)
Application Number:
PCT/KR2022/014427
Publication Date:
June 29, 2023
Filing Date:
September 27, 2022
Export Citation:
Assignee:
ITS CO LTD (KR)
International Classes:
G05B23/02; G06N20/00
Foreign References:
| KR102095389B1 | 2020-03-31 | |||
| JP2018206061A | 2018-12-27 | |||
| KR20210061517A | 2021-05-28 | |||
| KR20210141087A | 2021-11-23 | |||
| JP2021157303A | 2021-10-07 |
Attorney, Agent or Firm:
KIM, Dae Young et al. (KR)
Download PDF: