Zobrazeno 1 - 10
of 16
pro vyhledávání: '"Zuguang Huang"'
Publikováno v:
Measurement + Control, Vol 55 (2022)
Master node delay is an unavoidable factor in a networked control system (NCS), which will lead to performance deterioration of the system, and large delay may even cause instability. In order to measure the master node delay in NCSs, its influence f
Externí odkaz:
https://doaj.org/article/f813c2eb562d4b61ac9282e8c0cc8f1a
Publikováno v:
Shock and Vibration, Vol 2022 (2022)
The increasing use of computer numerical control (CNC) machines requires better prediction of the reliability of their servo control systems. A novel reliability prediction model based on radial basis function (RBF) neural network optimized by improv
Externí odkaz:
https://doaj.org/article/f1ef8ce04ab543a787537ed68ecebb9c
Publikováno v:
Journal of Manufacturing Systems. 62:17-27
Tool wear prediction plays an important role in ensuring the reliability of machining operation due to their wide-ranging application in smart manufacturing. Massive effort has been devoted into exploring the methods of tool wear prediction. However,
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::72218bf8651a4f9f2ff9105ca2705064
https://doi.org/10.1016/j.jmsy.2021.10.013
https://doi.org/10.1016/j.jmsy.2021.10.013
Publikováno v:
The International Journal of Advanced Manufacturing Technology. 119:1821-1833
The performance of CNC spindle directly affects the machining accuracy and processing speed of the machine tool. The time-varying environment and complex working conditions increase difficulty of thoroughly assessing the spindle relying on experiment
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::58461307326ad6f919feba4b205f5f80
https://doi.org/10.1007/s00170-021-08403-6
https://doi.org/10.1007/s00170-021-08403-6
Publikováno v:
The International Journal of Advanced Manufacturing Technology.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1559c5fae1eb73bbd92e5de3982627c1
https://doi.org/10.1007/s00170-022-09978-4
https://doi.org/10.1007/s00170-022-09978-4
Publikováno v:
Robotics and Computer-Integrated Manufacturing. 81:102499
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::572221e9eba58cf07521e53c87a5bd1c
https://doi.org/10.1016/j.rcim.2022.102499
https://doi.org/10.1016/j.rcim.2022.102499
Autor:
Jie Fan, Hongwei Fan, Ke He, Kendrik Yan Hong Lim, Ruiqi Hu, Mingxuan Hu, Zuguang Huang, Zhenrui Ji, Shiqian Ke, Hao Li, Yilin Li, Dar Win Liew, Xinyuan Lv, Yufei Ma, Yongli Ma, Yanping Ma, A.Y.C. Nee, Qinglin Qi, Qianzhe Qiao, Huibin Sun, Diyin Tang, Fei Tao, Jinjiang Wang, Haoqi Wang, Yan Wang, Feng Xiang, Wenjun Xu, Yuanpu Yao, Jinsong Yu, Xuhui Zhang, Zhinan Zhang, Pai Zheng, Zude Zhou, Ying Zuo
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::eccbc56e55d0adda16503ccdc7c16038
https://doi.org/10.1016/b978-0-323-91300-3.01002-0
https://doi.org/10.1016/b978-0-323-91300-3.01002-0
Publikováno v:
Journal of Ambient Intelligence and Humanized Computing. 10:851-861
Modern manufacturing systems are increasingly equipped with sensors and communication capabilities, and data-driven intelligence is gaining more popularity to analyze big manufacturing data. This paper presents a new deep neural network model based o
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::32f39d551857bd9ea0588e346a2a607b
https://doi.org/10.1007/s12652-018-0794-3
https://doi.org/10.1007/s12652-018-0794-3
Autor:
Gang Li, Zuguang Huang
Publikováno v:
2008 4th International Conference on Wireless Communications, Networking and Mobile Computing.
Reliability forecast of the sleeper system is very important for minimizing the maintenance cost. Generally, there are two kinds of failure criteria for sleeper system. In this paper, by using the finite Markov chain imbedding approach, the reliabili
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::87f77f4cd32ed5ae30de108a8fb6cfec
https://doi.org/10.1109/wicom.2008.1890
https://doi.org/10.1109/wicom.2008.1890