Zobrazeno 1 - 10
of 111
pro vyhledávání: '"ZHAO Rongzhen"'
Publikováno v:
Zhejiang dianli, Vol 43, Iss 2, Pp 25-33 (2024)
Research findings indicate that in multi-unit systems experiencing subsynchronous oscillations （SSO）， the units tend to exhibit similar torsional vibration frequencies. Therefore， an analysis was conducted on the interactive effects among sha
Externí odkaz:
https://doaj.org/article/b56161c2f55d4f51a826c403dcc106af
Publikováno v:
电力工程技术, Vol 41, Iss 3, Pp 110-117 (2022)
Large scale new energy access to weak alternating current (AC) power grid is prone to transient overvoltage,phase-locked synchronous stability and other problems,which bring problems for the full use of new energy. In this paper,the influencing facto
Externí odkaz:
https://doaj.org/article/501121984f4e4b80a714143a210f00ba
Object-Centric Learning (OCL) can discover objects in images or videos by simply reconstructing the input. For better object discovery, representative OCL methods reconstruct the input as its Variational Autoencoder (VAE) intermediate representation,
Externí odkaz:
http://arxiv.org/abs/2411.02299
Representing images or videos as object-level feature vectors, rather than pixel-level feature maps, facilitates advanced visual tasks. Object-Centric Learning (OCL) primarily achieves this by reconstructing the input under the guidance of Variationa
Externí odkaz:
http://arxiv.org/abs/2410.01539
Object-Centric Learning (OCL) represents dense image or video pixels as sparse object features. Representative methods utilize discrete representation composed of Variational Autoencoder (VAE) template features to suppress pixel-level information red
Externí odkaz:
http://arxiv.org/abs/2409.03553
Similar to humans perceiving visual scenes as objects, Object-Centric Learning (OCL) can abstract dense images or videos into sparse object-level features. Transformer-based OCL handles complex textures well due to the decoding guidance of discrete r
Externí odkaz:
http://arxiv.org/abs/2407.01726
Publikováno v:
Jixie qiangdu, Vol 39, Pp 1468-1473 (2017)
In order to get the dynamic characteristics of wind turbinemain shaft bearing under different working conditions,tooka 1. 5 MW wind turbine manufactured by one turbine factoryas an example,the main shaftwassimplifiedabstractly and the axial and radia
Externí odkaz:
https://doaj.org/article/c20867a810024eb18b9951801cb7a3b6
Publikováno v:
Jixie chuandong, Vol 40, Pp 64-67 (2016)
Taking the large- scale wind power generator yaw bearing as studying object,the finite element model of the yaw bearing is established on the ANSYS platform. Considering the axial load and overturning moment coupling action on it,the static contact s
Externí odkaz:
https://doaj.org/article/3171ace773d24ceea5e9527430b238bb
Publikováno v:
Jixie chuandong, Vol 40, Pp 52-55 (2016)
Because of the output response of the wind turbine transmission system caused by the gear fault is not stable,the dynamic performance of the transmission system in fault state is studied. The transmission system dynamics models under normal condition
Externí odkaz:
https://doaj.org/article/74d39dc98dbf47db8dc88da10d52c722
Existing convolution techniques in artificial neural networks suffer from huge computation complexity, while the biological neural network works in a much more powerful yet efficient way. Inspired by the biological plasticity of dendritic topology an
Externí odkaz:
http://arxiv.org/abs/2301.05440