The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.

The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.

Date of Patent:
Sep. 05, 2023

Filed:

Nov. 19, 2020
Applicants:

Envision Digital International Pte. Ltd., Singapore, SG;

Shanghai Envision Digital Co., Ltd., Shanghai, CN;

Inventors:

Ao Dong, Shanghai, CN;

Qingsheng Zhao, Shanghai, CN;

Zhongji Yin, Shanghai, CN;

Yong Ai, Shanghai, CN;

Weiyu Cui, Shanghai, CN;

Attorneys:
Primary Examiner:
Int. Cl.
CPC ...
F03D 17/00 (2016.01); F03D 7/04 (2006.01);
U.S. Cl.
CPC ...
F03D 17/00 (2016.05); F03D 7/045 (2013.01); F05B 2260/80 (2013.01); F05B 2270/303 (2013.01); F05B 2270/304 (2013.01); F05B 2270/404 (2013.01); F05B 2270/803 (2013.01);
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.


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