Zobrazeno 1 - 10
of 54
pro vyhledávání: '"Jianfang Jia"'
A hybrid prediction approach for enhancing heat transfer efficiency of coal-fired power plant boiler
Publikováno v:
Energy Reports, Vol 9, Iss , Pp 658-668 (2023)
Predicting future fouling status is a crucial but tough topic in the applications of energy conservation and pollution reduction at coal-fired power plants because of the significant influence that ash slag has on the heat transfer efficiency of boil
Externí odkaz:
https://doaj.org/article/391dbd18efa74fcc9887d435d87ab40e
Publikováno v:
Results in Physics, Vol 37, Iss , Pp 105525- (2022)
In this paper, the global exponential stabilization of two-level stochastic quantum systems is achieved by using measurement-based feedback strategies, including state feedback and noise-assisted feedback, and the state convergence rate is improved b
Externí odkaz:
https://doaj.org/article/4b7c54fb56bf449f94f3d605a0b1bd0e
Publikováno v:
iScience, Vol 25, Iss 4, Pp 103988- (2022)
Summary: Accurate state-of-health (SOH) prediction of lithium-ion batteries (LIBs) plays an important role in improving the performance and assuring the safe operation of the battery energy storage system (BESS). Deep extreme learning machine (DELM)
Externí odkaz:
https://doaj.org/article/a8cfd42b5f2b477d9bc08d8fe376b4e6
Publikováno v:
Results in Physics, Vol 30, Iss , Pp 104862- (2021)
We propose a novel control strategy by combining state feedback with noise-assisted feedback to exponentially stabilize the target eigenstate for two-level stochastic quantum systems in this paper. The state space is divided into two subspaces, and t
Externí odkaz:
https://doaj.org/article/44ffd247d60b482281718e4a115a1569
Publikováno v:
IEEE Access, Vol 7, Pp 20850-20862 (2019)
In this paper, the optimization of the boiler soot blowing is investigated based on the Hamilton-Jacobi-Bellman (HJB) equation and from the standpoint of the equipment health management. The mathematical model of the boiler soot blowing is built by a
Externí odkaz:
https://doaj.org/article/b46ce070e1a14eed9e7060d8f598030d
Publikováno v:
Results in Physics, Vol 22, Iss , Pp 103929- (2021)
The exponential stabilization of the eigenstates for two-level quantum systems based on continuous noise-assisted feedback control is investigated in this paper. Due to the symmetric structure of state space, quantum systems may converge to an undesi
Externí odkaz:
https://doaj.org/article/e82c4e1807ee457dbece9c7f5e8dc945
Publikováno v:
Energies, Vol 13, Iss 2, p 375 (2020)
The state of health (SOH) and remaining useful life (RUL) of lithium-ion batteries are two important factors which are normally predicted using the battery capacity. However, it is difficult to directly measure the capacity of lithium-ion batteries f
Externí odkaz:
https://doaj.org/article/206c88ede18f4c7c8a22f674a26f1446
Autor:
Yuanhao Shi, Qiang Li, Jie Wen, Fangshu Cui, Xiaoqiong Pang, Jianfang Jia, Jianchao Zeng, Jingcheng Wang
Publikováno v:
Energies, Vol 12, Iss 15, p 2901 (2019)
Because of the present ineffective method of soot blowing on a boiler’s heating surface in a coal-fired power plant, and to improve the economic benefit of the boiler in the power plant, weigh the improvement of boiler efficiency and steam loss bro
Externí odkaz:
https://doaj.org/article/392a3cbb60a24eeba7d7f334275514fe
Publikováno v:
Energies, Vol 12, Iss 12, p 2247 (2019)
Prediction of Remaining Useful Life (RUL) of lithium-ion batteries plays a significant role in battery health management. Battery capacity is often chosen as the Health Indicator (HI) in research on lithium-ion battery RUL prediction. In the rest tim
Externí odkaz:
https://doaj.org/article/37cf0a46fb7847d9a56db56141246f26
Publikováno v:
Chinese Physics B.
Rapid stabilization of the general stochastic quantum systems is investigated based on the rapid stability of stochastic differential equations in this paper. We introduce a Lyapunov-LaSalle-like theorem for a class of nonlinear stochastic systems fi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::be4093300b4f52254e473fa7f384fc3e
https://doi.org/10.1088/1674-1056/acb9f3
https://doi.org/10.1088/1674-1056/acb9f3