Method and apparatus for detecting fault, method and apparatus for training model, and device and storage medium
US11746753B2 · kind B2 · utility
Assignees
Inventors
Key dates
| Filing date | Nov 19, 2020 |
| Grant date | Sep 5, 2023 |
| Priority date | — |
| Expiry date | Nov 19, 2040 |
Classification
- Technology area (CPC Y)Emerging Cross-Sectional Technologies
- CPC primaryY04S10/50
- WIPO fieldIT methods for management
- WIPO sectorElectrical engineering
Abstract
Disclosed are a method and apparatus for detecting a fault, and a method and apparatus for training a model. The method includes: acquiring characteristic data and actual temperature of a first wind turbine among n wind turbines, wherein the characteristic data of the first wind turbine is intended to characterize a working state of the first wind turbine, and n is an integer greater than 1; acquiring a prediction temperature set by inputting the characteristic data of the first wind turbine into a temperature prediction model corresponding to each of the n wind turbines; and detecting, based on the predicted temperature set and the actual temperature of the first wind turbine, whether the first wind turbine encounters a fault. Compared with the related art which depends on the working experience of the staff, the technical solution according to the embodiments of the present disclosure can more accurately detect whether a wind turbine encounters a fault, and provide early warning in time, so as to reduce the failure rate of the wind turbine.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.