Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Zheng Wei Chang"'
Autor:
Jin-Yu Zhan, An-Tai Yu, Wei Jiang, Yong-Jia Yang, Xiao-Na Xie, Zheng-Wei Chang, Jun-Huan Yang
Publikováno v:
Journal of Electronic Science and Technology, Vol 21, Iss 2, Pp 100204- (2023)
As a core component in intelligent edge computing, deep neural networks (DNNs) will increasingly play a critically important role in addressing the intelligence-related issues in the industry domain, like smart factories and autonomous driving. Due t
Externí odkaz:
https://doaj.org/article/8648fe8b51544030a6966c0840224f31
Autor:
Bo Pang, Hui-Hui Liang, Ling-Hao Zhang, Yu-Fei Teng, Zheng-Wei Chang, Ze-Wei Liu, Chun-Qiang Hu, Wen-Hao Mou
Publikováno v:
Applied Sciences, Vol 13, Iss 17, p 9813 (2023)
In the context of rapid advancements in artificial intelligence (AI) technology, new technologies, such as federated learning and edge computing, have been widely applied in the power Internet of Things (PIoT). When compared to the traditional centra
Externí odkaz:
https://doaj.org/article/130f2ae197604eafb258742cfc8b936a
Publikováno v:
2022 IEEE 22nd International Conference on Communication Technology (ICCT).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1d26d01968766767e29a9f571b5f7fa8
https://doi.org/10.1109/icct56141.2022.10073075
https://doi.org/10.1109/icct56141.2022.10073075
Publikováno v:
Applied Mechanics and Materials. :874-878
The paper proposes a Kohonen neural network to the MOA fault diagnosis. The data from MOA monitoring was trained by a Kohonen neural network in Matlab. By this way, the best weight matrix could be obtained. The trained Kohonen neural network is adopt
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ef8a6c1eddd7cff2a5c99c4e9d0089fd
https://doi.org/10.4028/www.scientific.net/amm.568-570.874
https://doi.org/10.4028/www.scientific.net/amm.568-570.874
Publikováno v:
Applied Mechanics and Materials. :842-847
Using the wide area information of the IED, the identification faulty components network is constructed based on RBF neural network. Using the state information collected by line IED as the input vector, training samples matrix of identification faul
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::de924a491bf746bdb30a25b9523ed5cc
https://doi.org/10.4028/www.scientific.net/amm.568-570.842
https://doi.org/10.4028/www.scientific.net/amm.568-570.842
Publikováno v:
Applied Mechanics and Materials. :2685-2688
The health of MOVA is very important for power system reliability and insulation coordination studies.MOVA is subjected to different kinds of stresses in services, which will cause degradation at early stage or in the long run.This paper present evid
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9262f937bd0683d3ae54ea7cf9f3577c
https://doi.org/10.4028/www.scientific.net/amm.556-562.2685
https://doi.org/10.4028/www.scientific.net/amm.556-562.2685