Title:
PREDICTIVE MAINTENANCE METHOD AND APPARATUS FOR INDUSTRIAL EQUIPMENT BASED ON HEALTH STATUS INDEX, AND ELECTRONIC DEVICE
Document Type and Number:
WIPO Patent Application WO/2023/165006
Kind Code:
A1
Abstract:
A predictive maintenance method and apparatus for industrial equipment based on a health status index, and an electronic device. The method comprises: acquiring operation data at each time point in the operation process of equipment to be tested, and importing the operation data into a pre-trained reconstruction model to obtain reconstruction data corresponding to the operation data; obtaining a health status index according to the reconstruction data and the operation data, and determining a degradation point according to the health status index; and importing a health status index corresponding to a time point after the degradation point into a pre-trained prediction model for fitting, obtaining an extension curve, comparing the predicted health status data at each time point in the extension curve with a preset threshold, and determining a time point when the predicted health status data is consistent with the preset threshold as a failure time point. The pre-trained reconstruction model and prediction model are used, so that the determination of the degradation point and the prediction of the data can be accurately realized by learning the characteristics of the operation data, and the method can be suitable for predictive maintenance based on a small amount of data.
Inventors:
GUO XIAOHUI (CN)
MOU XUDONG (CN)
WANG RUI (CN)
LIU XUDONG (CN)
MOU XUDONG (CN)
WANG RUI (CN)
LIU XUDONG (CN)
Application Number:
PCT/CN2022/089549
Publication Date:
September 07, 2023
Filing Date:
April 27, 2022
Export Citation:
Assignee:
HANGZHOU INNOVATION INSTITUTE BEIHANG UNIV (CN)
International Classes:
G06N3/04; G06Q10/04
Foreign References:
| CN114298443A | 2022-04-08 | |||
| CN113434970A | 2021-09-24 | |||
| CN104166787A | 2014-11-26 | |||
| CN113469300A | 2021-10-01 | |||
| US20220004182A1 | 2022-01-06 |
Attorney, Agent or Firm:
CHOFN INTELLECTUAL PROPERTY (CN)
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