Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Chun-Bo Shi"'
Autor:
Kai Liu, Xin Sun, Wei-Jiang Hu, Liang-Ying Mei, Heng-Dong Zhang, Shi-Biao Su, Kang Ning, Yun-Feng Nie, Le-Ping Qiu, Ying Xia, Lei Han, Qiang Zhi, Chun-Bo Shi, Geng Wang, Wei Wen, Jian-Qiong Gao, Bing Yu, Xin Wang, Yi-Wen Dong, Ning Kang, Feng Han, Hong-Ying Bian, Yong-Qing Chen, Meng Ye
Publikováno v:
JMIR Public Health and Surveillance, Vol 10, p e56283 (2024)
BackgroundDespite increasing awareness, silica dust–induced silicosis still contributes to the huge disease burden in China. Worryingly, recent silica dust exposure levels and silicosis risk in Chinese noncoal mines remain unclear. ObjectiveWe aim
Externí odkaz:
https://doaj.org/article/61d72802b70f449390bda4c152638d7f
Publikováno v:
2021 6th International Conference on Smart Grid and Electrical Automation (ICSGEA).
Rapid and accurate detection of partial discharge (PD) of metal enclosed AC switchgear (HV switch cabinet for short) is of great significance for safe operation of the power grid and high reliability of power supply. The existing methods such as tran
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9898cb905cc2f8a1ac94165080dfd6bc
https://doi.org/10.1109/icsgea53208.2021.00017
https://doi.org/10.1109/icsgea53208.2021.00017
Publikováno v:
2020 12th International Conference on Measuring Technology and Mechatronics Automation (ICMTMA).
This paper describes the application of wavelet denoising technique in HV standard lightning impulse before its parameter evaluation. Some typical impulse waveforms are processed to test the suitability, which are produced by the last test date gener
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::20a0a9d5656c4c57c0d0eb6a05c47f3b
https://doi.org/10.1109/icmtma50254.2020.00050
https://doi.org/10.1109/icmtma50254.2020.00050
Publikováno v:
2018 International Conference on Engineering Simulation and Intelligent Control (ESAIC).
In this paper, development of a data processing software for grounding grid fault diagnosis of power substation based on the state response analysis (SRA) with impulse current is introduced. The SRA method with impulse current for grounding grid of p
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::01cf2794bd0f55fad649285ba0cff835
https://doi.org/10.1109/esaic.2018.00083
https://doi.org/10.1109/esaic.2018.00083
Publikováno v:
2018 International Conference on Engineering Simulation and Intelligent Control (ESAIC).
Automatic detection and recognition of the switches of high-voltage (HV) cabinet is an important problem for on-line inspection of power equipments. Aiming at this problem, this paper introduced a deep learning method of artificial intelligence (AI)
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::075ac96dc05dc00c1523bf9762c3a18a
https://doi.org/10.1109/esaic.2018.00027
https://doi.org/10.1109/esaic.2018.00027
Publikováno v:
SPIE Proceedings.
A BP neural network method for the recognition of sea state in laser altimeter is presented in this paper. Sea wave is the typical stochastic disturbance factor of laser altimeter effecting on low-altitude defense penetration of the intelligent antis
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3b76aee10b263d555cfcae3460eb2ac9
https://doi.org/10.1117/12.836356
https://doi.org/10.1117/12.836356