Search Results - "Xiao, Qinge"

A knowledge-driven method of adaptively optimizing process parameters for energy efficient turning by Xiao, Qinge, Li, Congbo, Tang, Ying, Li, Lingling, Li, Li

“…Selection of optimum process parameters is often regarded as an effective strategy for improving energy efficiency during computer numerical control (CNC)…”
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Policy manifold generation for multi-task multi-objective optimization of energy flexible machining systems by Xiao Qinge, Niu, Ben, Chen, Ying

“…Contemporary organizations recognize the importance of lean and green production to realize ecological and economic benefits. Compared with the existing…”
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Complementary and Alternative Medicine for Substance Use Disorders: A Scientometric Analysis and Visualization of Its Use Between 2001 and 2020 by Junyue, Jiao, Siyu, Chen, Xindong, Wang, Qinge, Xiao, Jingchun, Zeng, Liming, Lu, Guohua, Lin

“…Background: This study aimed to identify frontiers for further studies via brief understanding in complementary and alternative medicine (CAM) for substance…”
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An enhanced semi-supervised learning method with self-supervised and adaptive threshold for fault detection and classification in urban power grids by Zhang, Jiahao, Cheng, Lan, Yang, Zhile, Xiao, Qinge, Khan, Sohail, Liang, Rui, Wu, Xinyu, Guo, Yuanjun

“…With the rapid development of urban power grids and the large-scale integration of renewable energy, traditional power grid fault diagnosis techniques struggle…”
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Distributed scheduling for multi-energy synergy system considering renewable energy generations and plug-in electric vehicles: A level-based coupled optimization method by Zhang, Linxin, Yang, Zhile, Xiao, Qinge, Guo, Yuanjun, Ying, Zuobin, Hu, Tianyu, Xu, Xiandong, Khan, Sohail, Li, Kang

“…Multi-energy synergy systems integrating high-penetration large-scale plug-in electric vehicles, distributed renewable energy generations, and battery energy…”
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A method integrating Taguchi, RSM and MOPSO to CNC machining parameters optimization for energy saving by Li, Congbo, Xiao, Qinge, Tang, Ying, Li, Li

“…Choosing the optimum cutting parameters is regarded as one of the important energy saving technologies. This paper presents a method for complex optimization…”
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An Internet of Things based energy efficiency monitoring and management system for machining workshop by Chen, Xingzheng, Li, Congbo, Tang, Ying, Xiao, Qinge

“…Machining workshop is a widely distributed manufacturing system that consumes massive energy in a low efficiency. In recent years, the increasing pressure from…”
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Meta-Reinforcement Learning of Machining Parameters for Energy-Efficient Process Control of Flexible Turning Operations by Xiao, Qinge, Li, Congbo, Tang, Ying, Li, Lingling

“…Energy-efficient machining has become imperative for energy conservation, emission reduction, and cost saving of manufacturing sectors. Optimal machining…”
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Generative Upper-Level Policy Imitation Learning With Pareto-Improvement for Energy-Efficient Advanced Machining Systems by Xiao, Qinge, Niu, Ben, Tan, Ying, Yang, Zhile, Chen, Xingzheng

“…The potential intelligence behind advanced machining systems (AMSs) offers positive contributions toward process improvement. Imitation learning (IL) offers an…”
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Enhanced multi-objective marine predator algorithm for dynamic economic-grid fluctuation dispatch with plug-in electric vehicles by Yang, Wenqiang, Zhu, Xinxin, Xiao, Qinge, Yang, Zhile

“…The optimization of multi-objective dynamic economic-grid fluctuation dispatch (MODEGD) involves simultaneous optimization of two competing objectives, fuel…”
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Energy Efficiency Modeling for Configuration-Dependent Machining via Machine Learning: A Comparative Study by Xiao, Qinge, Li, Congbo, Tang, Ying, Chen, Xingzheng

“…Energy efficiency modeling is of great importance to energy management and conservation for machinery enterprises. To improve the generalization ability, this…”
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Multi-component energy modeling and optimization for sustainable dry gear hobbing by Xiao, Qinge, Li, Congbo, Tang, Ying, Pan, Jian, Yu, Jun, Chen, Xingzheng

“…Sustainable machining becomes a key priority for manufacturing industries due to the ever growing energy costs, associated environmental impacts and carbon…”
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Adaptive optimal process control with actor-critic design for energy-efficient batch machining subject to time-varying tool wear by Xiao, Qinge, Yang, Zhile, Zhang, Yingfeng, Zheng, Pai

“…Batch machining systems are essential for improving productivity and quality, but they consume considerable amounts of energy due to the continuous interaction…”
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AnesFormer: An End-to-End Framework for EEG-Based Anesthetic State Classification by Wang, Qihang, Chen, Ying, Xiao, Qinge

“…To determine the real-time changes in brain arousal introduced by anesthetics, Electroencephalogram (EEG) is often used as an objective neuroimaging evidence…”
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Deep reinforcement learning for dynamic flexible job shop scheduling problem considering variable processing times by Zhang, Lu, Feng, Yi, Xiao, Qinge, Xu, Yunlang, Li, Di, Yang, Dongsheng, Yang, Zhile

“…In recent years, the uncertainties and complexity in the production process, due to the boosted customized requirements, has dramatically increased the…”
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Graph Convolutional Reinforcement Learning for Advanced Energy-Aware Process Planning by Xiao, Qinge, Niu, Ben, Xue, Bing, Hu, Luoke

“…With the growing demands on green short life-cycle products, advanced energy-aware process planning (AEPP) becomes critical. A major limitation of the existing…”
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A self-learning and self-optimizing framework for the fault diagnosis knowledge base in a workshop by Lin, Qi, Zhang, Yingfeng, Yang, Shangrui, Ma, Shuaiyin, Zhang, Tongda, Xiao, Qinge

“…•A self-learning and self-optimizing framework is proposed for the knowledge base.•A dynamic clustering model is used to adapt to the diversity of fault.•A…”
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An investigation into the dependence of energy efficiency on CNC process parameters with a sustainable consideration of electricity and materials by Qinge Xiao, Congbo Li, Xingzheng Chen, Ying Tang

“…This paper studies the energy characteristics with respect to process parameters from a systematic point of view, in terms of electricity and materials. A…”
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An industrial data based investigation into effects of process parameters on cutting power and energy efficiency by Qinge Xiao, Congbo Li, Qian Yi, Qiulian Wang

“…This paper presents an investigation of the effects of cutting parameters on cutting power and energy efficiency in Computer numerical control (CNC) turning…”
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Deep Learning Based Modeling for Cutting Energy Consumed in CNC Turning Process by Xiao, Qinge, Li, Congbo, Tang, Ying, Du, Yanbin, Kou, Yang

“…This paper studies a predictive modeling for cutting energy consumption in CNC turning process by using deep learning methods. An analysis of energy…”
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