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Fei Tao
Beihang University
EngineeringSystems engineeringCloud manufacturingComputer scienceCloud computing
237Publications
46H-index
7,111Citations
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Publications 226
Newest
#1Yan He (Chongqing University)H-Index: 6
#2Pengcheng Wu (Chongqing University)
Last. Yan Wang (University of Brighton)H-Index: 13
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Abstract Energy prediction of machine tools plays an irreplaceable role in energy planning, management, and conservation in the manufacturing industry. In the era of big machinery data, data-driven energy prediction models of machine tools have achieved remarkable results in the identification of energy consumption patterns and prediction of energy consumption conditions. However, existing data-driven studies towards the energy consumption of machine tools focus on the utilization of handcrafted...
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#1Luning Bi (Iowa State University)
#2Fei Tao (Beihang University)H-Index: 46
Last. Andrew Y. C. Nee (NUS: National University of Singapore)H-Index: 48
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Abstract Maintenance plays an important role in sustainable manufacturing as systematic and timely MRO processes can significantly reduce downtime and production losses. This paper presents a two-stage approach for an opportunistic maintenance methodology. Firstly, a real-time gated recurrent units (GRU) model is established to predict the reliability of facilities. Secondly, an ensemble evolutionary algorithm is proposed to identify the feasibilities to conduct different maintenance strategies....
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#1Yufeng Li (Chongqing University)H-Index: 4
#2Yan He (Chongqing University)H-Index: 6
Last. John W. Sutherland (Purdue University)H-Index: 40
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Abstract With rising energy prices and environmental concerns, reduction of energy consumption has become a critical manufacturing focus. One appropriate way to reduce energy consumption in manufacturing systems is to develop energy-conscious optimization strategies for production planning. In a flexible machining job shop, this planning must accommodate common dynamic events, such as new job arrivals and machine breakdowns. Dynamic events could change production energy consumption, thus require...
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#1Meng Zhang (Beihang University)H-Index: 1
#2Fei Tao (Beihang University)H-Index: 46
Last. Andrew Y. C. Nee (NUS: National University of Singapore)H-Index: 48
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Abstract For dynamic scheduling, which is daily decision-making in a job-shop, machine availability prediction, disturbance detection and performance evaluation are always common bottlenecks. Previous research efforts on addressing the bottlenecks primarily emphasize on the analysis of data from the physical job-shop, but with little connection and convergence with its virtual models and simulated data. By introducing digital twin (DT), further convergence between physical and virtual spaces of ...
2 CitationsSource
#1Jiangfeng Cheng (Beihang University)H-Index: 4
#2He Zhang (Beihang University)H-Index: 3
Last. Chia-Feng Juang (NCHU: National Chung Hsing University)H-Index: 1
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Abstract In this paper, the interplay and relationship between digital twin and Industrial Internet are discussed at first. The sensing/transmission network capability, which is one of the main characteristics of Industrial Internet, can be a carrier for providing digital twin with a means of data acquisition and transmission. Conversely, with the capability of high-fidelity virtual modeling and simulation computing/analysis, digital twin evolving from lifecycle management for a single product t...
4 CitationsSource
#1Yonghe Su (Beihang University)H-Index: 1
#2Fei Tao (Beihang University)H-Index: 46
Last. Lei Wang (Beihang University)H-Index: 21
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2 CitationsSource
#1Wenjie Wang (SDU: Shandong University)H-Index: 1
#2Guangdong Tian (SDU: Shandong University)H-Index: 24
Last. Zhigang Jiang (WUST: Wuhan University of Science and Technology)H-Index: 13
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Abstract Selecting a set of reasonable milling parameters of computerized numerical control (CNC) machines is of great importance in decreasing energy consumption and enhancing processing productivity. However, existing works pay little attention to the optimization of energy-conscious milling parameters. This work establishes a dual-objective optimization model for the selection of milling parameters such that power consumption and process time are minimized. With multiple constraints of millin...
1 CitationsSource
#1Yongli Wei (SDU: Shandong University)H-Index: 1
Last. Andrew Y. C. Nee (NUS: National University of Singapore)H-Index: 48
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Abstract Computerized numerical control machine tools (CNCMTs) play an important role in smart manufacturing. In the current complex and changeable market environment, improving the performance of CNCMTs at the design stage becomes an urgent task for equipment manufacturers. Lean design (LD) has its overwhelming advantages in many aspects (e.g., high efficiency of realization mode, greater flexibility in the changing market, and full involvement of stakeholders) compared to traditional design me...
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#1Meng Zhang (Beihang University)H-Index: 5
#2Fangyuan Sui (Beihang University)H-Index: 2
Last. Andrew Y. C. Nee (NUS: National University of Singapore)H-Index: 48
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Abstract With the advent of new generation information technologies (new IT) in industry and product design, the big data–driven product design era has arrived. However, current research mainly places emphasis on the analysis of physical data rather than the virtual models. In other words, the convergence between product’s physical and virtual spaces is usually absent. Fortunately, digital twin (DT), an emerging and fast-growing technology, provides a promising way to connect and integrate the p...
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#1Tian WangH-Index: 4
#2Yang ChenH-Index: 4
Last. Fei TaoH-Index: 46
view all 6 authors...
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