Title:
PREDICTIVE MODEL RESULTING FROM MACHINE LEARNING FOR PREDICTING THE TEMPERATURE OF AN ITEM OF EQUIPMENT
Document Type and Number:
WIPO Patent Application WO/2023/209050
Kind Code:
A1
Abstract:
The invention relates to a method for predicting a temperature of at least one first point of interest of an item of equipment, the method comprising the following steps: - obtaining (204) a set of current input data comprising at least one current input datum in relation to the item of equipment, the current input datum being representative of a control parameter of the item of equipment; - applying (205) a predictive model to the set of current input data in relation to the item of equipment and to at least one current temperature of the item of equipment, said predictive model resulting from machine learning applied to a set of training data; - following the application of the predictive model, predicting (206) a future temperature of the first point of interest of the item of equipment.
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Inventors:
CHAWA MOHAMED-MARWAN (FR)
EL-IDRISSI HAFID (FR)
ALMEHIO YASSER (FR)
EL-IDRISSI HAFID (FR)
ALMEHIO YASSER (FR)
Application Number:
PCT/EP2023/061036
Publication Date:
November 02, 2023
Filing Date:
April 26, 2023
Export Citation:
Assignee:
VALEO VISION (FR)
International Classes:
G05B23/02; G05B13/02
Foreign References:
| US20210307211A1 | 2021-09-30 | |||
| US20200041160A1 | 2020-02-06 | |||
| US20210190362A1 | 2021-06-24 | |||
| US20210056384A1 | 2021-02-25 | |||
| US4656829A | 1987-04-14 |
Attorney, Agent or Firm:
VALEO VISIBILITY (FR)
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