Energy consumption modeling and parameter identification based on system decomposition of welding robots-Reference-Cited by-同舟云学术

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Energy consumption modeling and parameter identification based on system decomposition of welding robots

Published:2023-12-12 Issue:3-4 Volume:130 Page:1579-1594
ISSN:0268-3768
Container-title:The International Journal of Advanced Manufacturing Technology
language:en
Short-container-title:Int J Adv Manuf Technol

Author:

Xiao Wei,Han Guirong,Ally Ahmed Suleiman,Chen Xubing

Funder

National Natural Science Foundation of China

Publisher

Springer Science and Business Media LLC

Subject

Industrial and Manufacturing Engineering,Computer Science Applications,Mechanical Engineering,Software,Control and Systems Engineering

Link

https://link.springer.com/content/pdf/10.1007/s00170-023-12780-5.pdf

Reference28 articles.

1. IFR (2020) World Robotics 2020 Industrial Robots. https://ifr.org. Accessed 15 November 2023

2. Giovanni C, Erich W, Renato V (2017) A review on energy-saving optimization methods for robotic and automatic systems. Robotics 6(4):39. https://doi.org/10.3390/robotics6040039

3. Thomas S, Rosenow J (2020) Drivers of increasing energy consumption in Europe and policy implications. Energy Policy 137. https://doi.org/10.1016/j.enpol.2019.111108

4. Liang W, Wang G, Ning X, Zhang J, Li Y, Jiang C, Zhang N (2020) Application of BP neural network to the prediction of coal ash melting characteristic temperature. Fuel 260:116324. https://doi.org/10.1016/j.fuel.2019.116324

5. Meike D, Pellicciari M, Berselli G (2014) Energy efficient use of multirobot production lines in the automotive industry: detailed system modeling and optimization. IEEE Tautom Sci Eng 11(3):798–809. https://doi.org/10.1109/TASE.2013.2285813

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