Search Results - "Liu, Qinming"

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  1. 1

    Single-machine-based joint optimization of predictive maintenance planning and production scheduling by Liu, Qinming, Dong, Ming, Chen, F.F.

    “…•An integrated decision model is presented based on prognostics information.•The health status and dummy age subjected to machine degradation is…”
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    Journal Article
  2. 2

    Single-machine-based joint optimization of predictive maintenance planning and production scheduling by Liu, Qinming, Dong, Ming, Chen, F.F., Lv, Wenyuan, Ye, Chunming

    “…•An integrated decision model is presented based on prognostics information.•The health status and dummy age subjected to machine degradation is…”
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    Journal Article
  3. 3

    Prediction model for stock price trend based on recurrent neural network by Zhao, Jinghua, Zeng, Dalin, Liang, Shuang, Kang, Huilin, Liu, Qinming

    “…Stock data have a long memory, that is, changes in stock prices are closely related to historical transaction data. Also, Recurrent Neural Networks have good…”
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    Journal Article
  4. 4

    Preventive Maintenance Strategy Optimization in Manufacturing System Considering Energy Efficiency and Quality Cost by Yang, Liang, Liu, Qinming, Xia, Tangbin, Ye, Chunming, Li, Jiaxiang

    Published in Energies (Basel) (01-11-2022)
    “…Climate change is a serious challenge facing the world today. Countries are already working together to control carbon emissions and mitigate global warming…”
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    Journal Article
  5. 5

    Integrated Structural Dependence and Stochastic Dependence for Opportunistic Maintenance of Wind Turbines by Considering Carbon Emissions by Liu, Qinming, Li, Zhinan, Xia, Tangbin, Hsieh, Minchih, Li, Jiaxiang

    Published in Energies (Basel) (01-01-2022)
    “…Wind turbines have a wide range of applications as the main equipment for wind-power generation because of the rapid development of technology. It is very…”
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    Journal Article
  6. 6

    A Novel Health Prognosis Method for a Power System Based on a High-Order Hidden Semi-Markov Model by Liu, Qinming, Li, Daigao, Liu, Wenyi, Xia, Tangbin, Li, Jiaxiang

    Published in Energies (Basel) (01-12-2021)
    “…Power system health prognosis is a key process of condition-based maintenance. For the problem of large error in the residual lifetime prognosis of a power…”
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    Journal Article
  7. 7

    Operation and Maintenance Optimization for Manufacturing Systems with Energy Management by An, Xiangxin, Si, Guojin, Xia, Tangbin, Liu, Qinming, Li, Yaping, Miao, Rui

    Published in Energies (Basel) (01-10-2022)
    “…With the increasing attention paid to sustainable development around the world, improving energy efficiency and applying effective means of energy saving have…”
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    Journal Article
  8. 8

    Health Prognosis for Equipment Based on ACO-K-Means and MCS-SVM under Small Sample Noise Unbalanced Data by Liu, Qinming, Yun, Fengze, Dong, Ming, Djoric, Darko, Zivlak, Nikola

    Published in Tehnički vjesnik (01-01-2024)
    “…For the problem of manufacturing system residual life prognosis with insufficient small sample data and unbalanced distribution, this paper proposes a model…”
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    Journal Article Paper
  9. 9

    Electrical conductivity of carbon nanotube/poly(vinylidene fluoride) composites prepared by high-speed mechanical mixing by Liu, Qinming, Tu, Jinchun, Wang, Xin, Yu, Wenxue, Zheng, Weitao, Zhao, Zhudi

    Published in Carbon (New York) (2012)
    “…Electrically conductive multi-walled nanotube (MWCNT)/poly(vinylidene fluoride) (PVDF) composites with a segregated structure were prepared by high-speed…”
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    Journal Article
  10. 10

    An effective electricity worker identification approach based on Yolov3-Arcface by Liu, Qinming, Hao, Fangzhou, Zhou, Qilin, Dai, Xiaofeng, Chen, Zetao, Wang, Zengyu

    Published in Heliyon (29-02-2024)
    “…To address the issues of low efficiency and high complexity of detection models for electric power workers in distribution rooms, the electric power worker…”
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    Journal Article
  11. 11

    A New Support Vector Regression Model for Equipment Health Diagnosis with Small Sample Data Missing and Its Application by Liu, Qinming, Liu, Wenyi, Mei, Jiajian, Si, Guojin, Xia, Tangbin, Quan, Jiarui

    Published in Shock and vibration (2021)
    “…Actually, it is difficult to obtain a large number of sample data due to equipment failure, and small sample data may also be missing. This paper proposes a…”
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    Journal Article
  12. 12

    A New Maintenance Optimization Model Based on Three-Stage Time Delay for Series Intelligent System with Intermediate Buffer by Lv, Xiaolei, Liu, Qinming, Li, Zhinan, Dong, Yifan, Xia, Tangbin, Chen, Xiang

    Published in Shock and vibration (2021)
    “…For the maintenance problem of intelligent series system with buffer stock, a preventive maintenance model based on the threestage time delay theory is…”
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    Journal Article
  13. 13

    Examining factors driving household carbon emissions from elderly families—Evidence from Japan by Wang, Yueying, Liu, Qinming

    Published in Finance research letters (01-07-2024)
    “…•Carbon emission coefficient, energy structure and energy consumption effect are responsible for the increase of HCEs.•Energy structure, energy consumption and…”
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    Journal Article
  14. 14

    A novel method using adaptive hidden semi-Markov model for multi-sensor monitoring equipment health prognosis by Liu, Qinming, Dong, Ming, Lv, Wenyuan, Geng, Xiuli, Li, Yupeng

    Published in Mechanical systems and signal processing (01-12-2015)
    “…Health prognosis for equipment is considered as a key process of the condition-based maintenance strategy. This paper presents an integrated framework for…”
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    Journal Article
  15. 15

    Condition-based maintenance optimization for multi-equipment batch production system based on stochastic demand by Liu, Qinming, Yun, Fengze, Dong, Ming, Lv, Wenyuan, Liu, Yuhong

    Published in Computers & chemical engineering (01-07-2024)
    “…•The method considers distinct equipment degradation characteristics and imperfect maintenance at both the system and equipment levels.•Different models are…”
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    Journal Article
  16. 16

    Multi-component manufacturing system maintenance scheduling based on degradation information using genetic algorithm by Liu, Qinming, Lv, Wenyuan

    Published in Industrial management + data systems (14-09-2015)
    “…Purpose – The traditional maintenance scheduling strategies of multi-component systems may result in maintenance shortage or overage, while system degradation…”
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    Journal Article
  17. 17

    Residual useful life prognosis of equipment based on modified hidden semi-Markov model with a co-evolutional optimization method by Liu, Qinming, Liu, Wenyi, Dong, Ming, Li, Zhinan, Zheng, Yihan

    Published in Computers & industrial engineering (01-08-2023)
    “…•Health prognostics scheme based on modified hidden semi-Markov model is proposed.•The proposed scalarization method can process non-vibration signal data…”
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    Journal Article
  18. 18

    Hybrid group opportunistic maintenance strategy for offshore wind turbines considering maintenance resource allocation in harsh working environments by Xiang, Haodong, Liu, Qinming, Dong, Ming, Wang, Yujie

    Published in Ocean engineering (15-11-2024)
    “…The intelligent maintenance of offshore wind turbines (OWTs) is vital for sustainable energy generation and utilization, as harsh working environments…”
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    Journal Article
  19. 19

    A hybrid service supplier selection approach based on variable precision rough set and VIKOR for developing product service system by Geng, Xiuli, Liu, Qinming

    “…Product service system (PSS) is an important strategy for manufacturing companies to improve competitiveness. The extension of supply range forces the…”
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    Journal Article
  20. 20

    A novel method for online health prognosis of equipment based on hidden semi-Markov model using sequential Monte Carlo methods by Liu, Qinming, Dong, Ming, Peng, Ying

    Published in Mechanical systems and signal processing (01-10-2012)
    “…Health prognosis of equipment is considered as a key process of the condition based maintenance strategy. It contributes to reduce the related risks and the…”
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    Journal Article