Zobrazeno 1 - 10
of 23
pro vyhledávání: '"Yutao Jiang"'
Publikováno v:
IEEE Access, Vol 12, Pp 158174-158188 (2024)
Due to limited network resources in internet of vehicles (IoV), vehicle’s heterogenous data, communication and computing resources significantly impact the training delay and model accuracy of federated learning (FL). To enhance resource utilizatio
Externí odkaz:
https://doaj.org/article/f826ea4d35da49c38214fa8a1ee9772e
Publikováno v:
World Electric Vehicle Journal, Vol 15, Iss 4, p 165 (2024)
This article provides a comprehensive overview of state-of-the-art techniques for detecting and diagnosing stator winding inter-turn short faults (ITSFs) in permanent-magnet synchronous motors (PMSMs) for electric vehicles (EVs). The review focuses o
Externí odkaz:
https://doaj.org/article/a7118e1467294c4ea0a9ebfb309098ff
Publikováno v:
Frontiers in Physics, Vol 11 (2023)
Variational mode decomposition (VMD) has been widely applied in sensors. However, the mode number and balance parameter seriously limit VMD application. To solve this problem, this study proposes a novel method, which combines an improved energy fluc
Externí odkaz:
https://doaj.org/article/6d5ce2f6beda43799d6b217ffa049cfb
Publikováno v:
Electronics; Volume 12; Issue 13; Pages: 2944
Permanent magnet metal flowmeters are implemented to monitor the flow of liquid metal coolant in a nuclear reactor, whose measurement accuracy plays a significant role to ensure the safety and normal operation of the nuclear reactor. According to a t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=multidiscipl::6910e2a8dd79379d7f2b7196fab1eee3
Publikováno v:
Electronics; Volume 11; Issue 23; Pages: 3993
In the recent years, deep learning has been widely used in process monitoring due to its strong ability to extract features. However, with the increasing layers of the deep network, the compression of features by the deep model will lead to the loss
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a485c34e4d7ebe9cc72b21a2753d7066
Publikováno v:
2022 IEEE International Performance, Computing, and Communications Conference (IPCCC).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6d39bce06a60b26e4484745241447519
https://doi.org/10.1109/ipccc55026.2022.9894332
https://doi.org/10.1109/ipccc55026.2022.9894332
Publikováno v:
CrystEngComm. 22:7082-7089
Hexagonal CuS nanosheets and microspheres composed of numerous flakes were successfully prepared by sonochemical and solvothermal methods, respectively. Ultrasonic radiation and templates of Cu(OH)2 nanoribbons play important roles in the growth of C
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::bc1ab62e978db664635bcbee31a5f091
https://doi.org/10.1039/d0ce01059f
https://doi.org/10.1039/d0ce01059f
Publikováno v:
SSRN Electronic Journal.
One-dimensional (1D) hollow CuxS nanotubes were obtained via a sacrificial template diffusion process by immersing 1D copper nanowires in thiourea solution. This structure exhibited excellent cycling stability when used as an electrode material for s
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7e2f70d6b24a2706b42d241b135e50c8
https://doi.org/10.2139/ssrn.4009625
https://doi.org/10.2139/ssrn.4009625
Publikováno v:
Lecture Notes in Electrical Engineering ISBN: 9789811962257
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::bf2c7cb27be81522e32d77930bf99a45
https://doi.org/10.1007/978-981-19-6226-4_25
https://doi.org/10.1007/978-981-19-6226-4_25
