Title:
METHOD FOR DIAGNOSING MACHINE FAILURE ON BASIS OF DEEP-LEARNING BY USING SOUNDS AND VIBRATIONS, AND DIAGNOSIS DEVICE USING SAME
Document Type and Number:
WIPO Patent Application WO/2023/096185
Kind Code:
A1
Abstract:
The present invention pertains to a method for diagnosing machine failure on the basis of deep-learning by using sounds or vibrations. The method comprises the steps in which: (a) when sound data or vibration data detected from a machine is acquired, a diagnosis device inputs the sound data or the vibration data to a feature extraction unit so that the feature extraction unit extracts features 1 to m from the sound data or the vibration data; (b) the diagnosis device inputs features 1 to m to deep-learning models 1 to n so as to cause deep-learning models 1 to n to learn features 1 to m and output failure classification information 1_1 to n_m classifying failure states for features 1 to m; and (c) the diagnosis device outputs failure diagnosis information diagnosing the failure of the machine by ensembling failure classification information 1_1 to n_m.
Inventors:
KIM BYOUNG HEE (KR)
LEE CHUNG YEON (KR)
LEE CHUNG YEON (KR)
Application Number:
PCT/KR2022/016624
Publication Date:
June 01, 2023
Filing Date:
October 27, 2022
Export Citation:
Assignee:
SURROMIND INC (KR)
International Classes:
G05B23/02; G01M13/00; G06N20/20
Foreign References:
| KR20210081145A | 2021-07-01 | |||
| KR20210055992A | 2021-05-18 | |||
| KR20210077389A | 2021-06-25 | |||
| KR20210082596A | 2021-07-06 | |||
| KR102027389B1 | 2019-10-01 |
Attorney, Agent or Firm:
SU INTELLECTUAL PROPERTY (KR)
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