US 11,746,753 B2
Method and apparatus for detecting fault, method and apparatus for training model, and device and storage medium
Ao Dong, Shanghai (CN); Qingsheng Zhao, Shanghai (CN); Zhongji Yin, Shanghai (CN); Yong Ai, Shanghai (CN); and Weiyu Cui, Shanghai (CN)
Assigned to ENVISION DIGITAL INTERNATIONAL PTE. LTD., Singapore (SG); and SHANGHAI ENVISION DIGITAL CO., LTD., Shanghai (CN)
Appl. No. 17/779,968
Filed by ENVISION DIGITAL INTERNATIONAL PTE. LTD., Singapore (SG); and SHANGHAI ENVISION DIGITAL CO., LTD., Shanghai (CN)
PCT Filed Nov. 19, 2020, PCT No. PCT/SG2020/050674
§ 371(c)(1), (2) Date May 25, 2022,
PCT Pub. No. WO2021/107866, PCT Pub. Date Jun. 3, 2021.
Claims priority of application No. 201911163284.5 (CN), filed on Nov. 25, 2019.
Prior Publication US 2023/0003198 A1, Jan. 5, 2023
Int. Cl. F03D 17/00 (2016.01); F03D 7/04 (2006.01)
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)] 10 Claims
OG exemplary drawing
 
1. A method for detecting a fault in a wind turbine, comprising:
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 including a plurality of predicted temperatures by inputting the characteristic data of the first wind turbine into a plurality of temperature prediction models, each temperature prediction model corresponding to one 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.