Zobrazeno 1 - 10
of 79
pro vyhledávání: '"Yuanhao Shi"'
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:
IEEE Access, Vol 9, Pp 109584-109604 (2021)
Soot blowing optimization and health management of coal-fired power plant boiler has received increasing attention in recent years. The ash fouling monitoring and prediction are the basis for achieve this goal. Nowadays, with the development of neura
Externí odkaz:
https://doaj.org/article/43f61cca4b034f839bd649e72c7c875b
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:
IEEE Access, Vol 8, Pp 206132-206145 (2020)
This paper presents a method to predict the cleaning state of the boiler heating surface. In this method, firstly, the historical fouling rate data is decomposed into two parts: fitting curve data and the difference between original data and the fitt
Externí odkaz:
https://doaj.org/article/10bbaa3a1df549638dfcfdbb7b05f4f3
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:
Batteries, Vol 8, Iss 10, p 155 (2022)
State-of-Health (SOH) prediction of lithium-ion batteries is crucial in battery management systems. In order to guarantee the safe operation of lithium-ion batteries, a hybrid model based on convolutional neural network (CNN)-bidirectional long short
Externí odkaz:
https://doaj.org/article/f1e85a441b3d4139b770c00559a794dd
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:
Energies, Vol 15, Iss 13, p 4658 (2022)
Soot blowing optimization is a key, but challenging question in the health management of coal-fired power plant boiler. The monitoring and prediction of ash fouling for heat transfer surfaces is an important way to solve this problem. This study prov
Externí odkaz:
https://doaj.org/article/e243c8bc59fd4f15a185f3c36bc83b17
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