Zobrazeno 1 - 10
of 10
pro vyhledávání: '"Chaoyu SHI"'
Autor:
Yuchun XU, Jianhui ZHU, Chaoyu SHI, Ningchang WANG, Yanjun ZHAO, Gaoliang ZHANG, Shuai QIAO, Chunqing GU
Publikováno v:
Jin'gangshi yu moliao moju gongcheng, Vol 44, Iss 3, Pp 346-353 (2024)
To improve the roughness prediction accuracy of Al2O3-based ceramic insulation coating on bearing surfaces, a method based on the spectral confocal principle was proposed for measuring the surface of grinding wheels and quantifying the characteristic
Externí odkaz:
https://doaj.org/article/eb9ff18ce943421eace3ba46c0339a04
Publikováno v:
Jin'gangshi yu moliao moju gongcheng, Vol 42, Iss 6, Pp 705-712 (2022)
In the process of free abrasive lapping, the driving mode and process parameters directly affect the flatness and surface roughness of the workpiece. To explore the effect of free abrasive lapping process parameters based on rotary swing drive on the
Externí odkaz:
https://doaj.org/article/38610994ffe0478ba616de80858fc162
Publikováno v:
Jin'gangshi yu moliao moju gongcheng, Vol 42, Iss 3, Pp 364-372 (2022)
In order to solve the difficult problem of dressing micro-grooves on the surface of metal-bonded diamond wheel, an infrared nanosecond laser was used to carry out the dressing test. The influences of laser average power, pulse repetition frequency, l
Externí odkaz:
https://doaj.org/article/dfb28594ef7041cba911ce08084fce9a
Publikováno v:
Frontiers in Energy Research, Vol 10 (2022)
Since deterministic prediction errors of wind power cannot be avoided, probabilistic prediction can adequately describe the uncertainty of wind power and, thus, provide further guidance to dispatching authorities for decision making. Current probabil
Externí odkaz:
https://doaj.org/article/98a687ced3664982880c3d9054c8333e
Publikováno v:
Frontiers in Energy Research, Vol 10 (2022)
As the wind power penetration increases, the short-term prediction accuracy of wind power is of great importance for the safe and cost-effective operation of the power grid in which the wind power is integrated. Traditional wind farm power prediction
Externí odkaz:
https://doaj.org/article/b67219b527c94276b6cd1ade9fbb5ec1
Experimental Study on the Grinding of an Fe-Cr-Co Permanent Magnet Alloy under a Small Cutting Depth
Publikováno v:
Micromachines, Vol 13, Iss 9, p 1403 (2022)
A small cutting depth is the key parameter to realize precision in the machining process. The stability of the machining process will directly affect the quality of machining. In this study, dry grinding experiments using an Fe-Cr-Co permanent magnet
Externí odkaz:
https://doaj.org/article/bfcb63cb30844667bae83390d9b7bbd0
Publikováno v:
2022 7th Asia Conference on Power and Electrical Engineering (ACPEE).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ddbd5d4aebd550d0bb9be51573912b41
https://doi.org/10.1109/acpee53904.2022.9783224
https://doi.org/10.1109/acpee53904.2022.9783224
Publikováno v:
Sensor Review. 39:495-503
Purpose This paper proposes a design of an efficient and automated experimental platform for frequency modulated continuous wave (FMCW) radars. The platform can quickly flexibly generate the waveform that meets measurement requirements and significan
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::09bf77ccee6df72c7f53a6a677b4537d
https://doi.org/10.1108/sr-07-2018-0169
https://doi.org/10.1108/sr-07-2018-0169
Publikováno v:
E3S Web of Conferences, Vol 260, p 02017 (2021)
The short-term probabilistic prediction of wind power has the characteristics of spatial dependence and time-series dependence. Considering the two characteristics at the same time can improve the prediction level. In this paper, a probabilistic shor
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::42959ce4f19d8ed102c4fccdfdf810a2
https://www.e3s-conferences.org/articles/e3sconf/pdf/2021/36/e3sconf_aepee2021_02017.pdf
https://www.e3s-conferences.org/articles/e3sconf/pdf/2021/36/e3sconf_aepee2021_02017.pdf
Publikováno v:
Energy. 218:119515
Wind power prediction (WPP) has developed in recent years into a way to solve the strong fluctuation problems that are caused by large-scale integration. Higher prediction accuracy is important to improve power grid security and economy. Wind turbine
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::89b145a8f5b546f0998eaf88aacc8c66
https://doi.org/10.1016/j.energy.2020.119515
https://doi.org/10.1016/j.energy.2020.119515