Search Results - "Shi, Yuanhao"

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  1. 1

    SOH and RUL Prediction of Lithium-Ion Batteries Based on Gaussian Process Regression with Indirect Health Indicators by Jia, Jianfang, Liang, Jianyu, Shi, Yuanhao, Wen, Jie, Pang, Xiaoqiong, Zeng, Jianchao

    Published in Energies (Basel) (01-01-2020)
    “…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…”
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    Journal Article
  2. 2

    A Lithium-ion Battery RUL Prediction Method Considering the Capacity Regeneration Phenomenon by Pang, Xiaoqiong, Huang, Rui, Wen, Jie, Shi, Yuanhao, Jia, Jianfang, Zeng, Jianchao

    Published in Energies (Basel) (12-06-2019)
    “…Prediction of Remaining Useful Life (RUL) of lithium-ion batteries plays a significant role in battery health management. Battery capacity is often chosen as…”
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    Journal Article
  3. 3

    Improved sparrow search algorithm optimization deep extreme learning machine for lithium-ion battery state-of-health prediction by Jia, Jianfang, Yuan, Shufang, Shi, Yuanhao, Wen, Jie, Pang, Xiaoqiong, Zeng, Jianchao

    Published in iScience (15-04-2022)
    “…Accurate state-of-health (SOH) prediction of lithium-ion batteries (LIBs) plays an important role in improving the performance and assuring the safe operation…”
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    Journal Article
  4. 4

    A Hybrid Method for Prediction of Ash Fouling on Heat Transfer Surfaces by Cui, Fangshu, Qin, Sheng, Zhang, Jing, Li, Mengwei, Shi, Yuanhao

    Published in Energies (Basel) (01-07-2022)
    “…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…”
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    Journal Article
  5. 5

    An Optimization Study on Soot-Blowing of Air Preheaters in Coal-Fired Power Plant Boilers by Shi, Yuanhao, Wen, Jie, Cui, Fangshu, Wang, Jingcheng

    Published in Energies (Basel) (01-03-2019)
    “…This paper presents a comprehensive approach for optimization of soot-blowing of air preheaters in a coal-fired power plant boiler. In the method, modeling of…”
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    Journal Article
  6. 6

    State-of-Health Prediction of Lithium-Ion Batteries Based on CNN-BiLSTM-AM by Tian, Yukai, Wen, Jie, Yang, Yanru, Shi, Yuanhao, Zeng, Jianchao

    Published in Batteries (Basel) (01-10-2022)
    “…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…”
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    Journal Article
  7. 7

    Exponential stabilization of two-level quantum systems based on continuous noise-assisted feedback by Wen, Jie, Shi, Yuanhao, Jia, Jianfang, Zeng, Jianchao

    Published in Results in physics (01-03-2021)
    “…The exponential stabilization of the eigenstates for two-level quantum systems based on continuous noise-assisted feedback control is investigated in this…”
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    Journal Article
  8. 8

    Multi‐Scale Prediction of RUL and SOH for Lithium‐Ion Batteries Based on WNN‐UPF Combined Model by Jianfang, Jia, Keke, Wang, Xiaoqiong, Pang, Yuanhao, Shi, Jie, Wen, Jianchao, Zeng

    Published in Chinese Journal of Electronics (01-01-2021)
    “…The prediction of Remaining useful life (RUL) and the estimation of State of health (SOH) are extremely important issues for operating performance of…”
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    Journal Article
  9. 9

    Exponential stabilization of stochastic quantum systems via combined feedback by Wen, Jie, Shi, Yuanhao, Jia, Jianfang, Zeng, Jianchao

    Published in Results in physics (01-11-2021)
    “…We propose a novel control strategy by combining state feedback with noise-assisted feedback to exponentially stabilize the target eigenstate for two-level…”
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    Journal Article
  10. 10

    Heat Transfer Efficiency Prediction of Coal-Fired Power Plant Boiler Based on CEEMDAN-NAR Considering Ash Fouling by Shi, Yuanhao, Li, Mengwei, Wen, Jie, Yang, Yanru, Cui, Fangshu, Zeng, Jianchao

    Published in Energies (Basel) (01-07-2021)
    “…Ash fouling has been an important factor in reducing the heat transfer efficiency and safety of the coal-fired power plant boilers. Scientific and accurate…”
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    Journal Article
  11. 11

    A Neural-Network-Based Method for Ash Fouling Prediction of Heat Transfer Surface in Coal-Fired Power Plant Boiler by Shi, Yuanhao, Li, Mengwei, Cui, Fangshu, Wen, Jie, Zeng, Jianchao

    Published in IEEE access (2021)
    “…Soot blowing optimization and health management of coal-fired power plant boiler has received increasing attention in recent years. The ash fouling monitoring…”
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    Journal Article
  12. 12

    A hybrid prediction approach for enhancing heat transfer efficiency of coal-fired power plant boiler by Shi, Yuanhao, Han, Tianxiang, Cui, Fangshu, Wen, Jie, Jia, Jianfang, Pang, Xiaoqiong

    Published in Energy reports (01-09-2023)
    “…Predicting future fouling status is a crucial but tough topic in the applications of energy conservation and pollution reduction at coal-fired power plants…”
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    Journal Article
  13. 13

    Feedback exponential stabilization of stochastic quantum systems based on state space division by Wen, Jie, Wang, Fangmin, Shi, Yuanhao, Jia, Jianfang, Zeng, Jianchao

    Published in Results in physics (01-06-2022)
    “…In this paper, the global exponential stabilization of two-level stochastic quantum systems is achieved by using measurement-based feedback strategies,…”
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    Journal Article
  14. 14

    Prediction of Pollution State of Heating Surface in Coal-Fired Utility Boilers by Li, Qiang, Yan, Peigang, Liu, Jinfu, Shi, Yuanhao, Yu, Daren

    Published in IEEE access (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…”
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    Journal Article
  15. 15

    Soot Blowing Optimization for Frequency in Economizers to Improve Boiler Performance in Coal-Fired Power Plant by Shi, Yuanhao, Li, Qiang, Wen, Jie, Cui, Fangshu, Pang, Xiaoqiong, Jia, Jianfang, Zeng, Jianchao, Wang, Jingcheng

    Published in Energies (Basel) (27-07-2019)
    “…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…”
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    Journal Article
  16. 16

    Optimization of Boiler Soot Blowing Based on Hamilton-Jacobi-Bellman Equation by Wen, Jie, Shi, Yuanhao, Pang, Xiaoqiong, Jia, Jianfang, Zeng, Jianchao

    Published in IEEE access (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…”
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    Journal Article
  17. 17

    Stabilizing a Rotary Inverted Pendulum Based on Logarithmic Lyapunov Function by Wen, Jie, Lu, Xiaonong, Shi, Yuanhao

    Published in Journal of control science and engineering (01-01-2017)
    “…The stabilization of a Rotary Inverted Pendulum based on Lyapunov stability theorem is investigated in this paper. The key of designing control laws by…”
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    Journal Article
  18. 18

    Sliding Mode Predictive Control of Main Steam Pressure in Coal-fired Power Plant Boiler by 史元浩 王景成 章云锋

    Published in Chinese journal of chemical engineering (01-12-2012)
    “…Since the combustion system of coal-fired boiler in thermal power plant is characterized as time varying, strongly coupled, and nonlinear, it is hard to…”
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    Journal Article
  19. 19

    On-line monitoring for coal Low Heating Value in coal-fired power plant boiler based on CM-LSSVM-PLS by Shi, Yuanhao, Wang, Jingcheng, Ren, Yifeng

    Published in 2016 35th Chinese Control Conference (CCC) (01-07-2016)
    “…A novel comprehensive real-time on-line calculation model of coal's Low Heating Value (LHV) in coal-fired boiler is presented in this paper. Firstly, the…”
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    Conference Proceeding Journal Article
  20. 20

    Online prediction of unburned carbon content in fly ash with clustering LS-SVM models by Shi, Weijing, Wang, Jingcheng, Shi, Yuanhao, Zhao, Guanglei

    Published in 2015 34th Chinese Control Conference (CCC) (01-07-2015)
    “…In this paper, a novel model called clustering least squares support vector machine (CLS-SVM) is proposed to predict the unburned carbon content in fly ash on…”
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    Conference Proceeding Journal Article