Aero-engine fault diagnosis method based on fifth-generation telecommunication technology standard distributed computing framework and deep learning
US12112253B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Apr 2, 2022 |
| Grant date | Oct 8, 2024 |
| Priority date | — |
| Expiry date | Apr 2, 2042 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06N3/08
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
An aero-engine fault diagnosis method based on 5G edge computing and deep learning is provided. The method includes following steps: performing data acquisition, preprocessing, and storage based on a new 5th Generation Mobile Communication Technology (5G) cloud-edge-terminal network architecture; constructing a machine learning module in an edge cloud, where historical data stored in the aero-engine fault database management system is used as training samples of the machine learning module; and performing intelligent self-management of the aero-engine gear fault simulation platform and the aero-engine fault database management system.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.