Zobrazeno 1 - 10
of 51
pro vyhledávání: '"Xinbo Qian"'
Publikováno v:
IEEE Access, Vol 8, Pp 30421-30435 (2020)
In the traditional assembly line balancing, all the workstations are assumed available and hence the unavailability of any workstation brings about the stoppage of the whole line and the waste of the production capacity in the rest workstations. Cons
Externí odkaz:
https://doaj.org/article/318b37e182324027ab81c44d19ed9ab7
Publikováno v:
Frontiers in Bioengineering and Biotechnology, Vol 10 (2022)
Recent work has shown that deep convolutional neural network is capable of solving inverse problems in computational imaging, and recovering the stress field of the loaded object from the photoelastic fringe pattern can also be regarded as an inverse
Externí odkaz:
https://doaj.org/article/463dc97c244a403fba931ae3f9552950
Publikováno v:
Maintenance & Reliability / Eksploatacja i Niezawodność; 2024, Vol. 26 Issue 2, p1-24, 24p
Autor:
Yilai Liu, Xinbo Qian
Publikováno v:
Eksploatacja i Niezawodność – Maintenance and Reliability. 24:771-784
For industrial and military applications, a sequence of missions would be performed with a limited break between two adjacent missions. To improve the system reliability, selective maintenance may be performed on components during the break. Most stu
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::37c2eea74251955b216e86a4a666a36a
https://doi.org/10.17531/ein.2022.4.17
https://doi.org/10.17531/ein.2022.4.17
Publikováno v:
Journal of Sensors. 2022:1-17
Owning to the advantage of keeping the operating environment safe, high reliability, and low production cost, predictive maintenance has been widely used in industry and academia. Predictive maintenance based on degeneration state mainly studies the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0f9e11ab3f16069369c864c70515210e
https://doi.org/10.1155/2022/8655669
https://doi.org/10.1155/2022/8655669
Publikováno v:
Optical Engineering. 62
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ea21445e20cdc9565edcf4226ccb587a
https://doi.org/10.1117/1.oe.62.3.031208
https://doi.org/10.1117/1.oe.62.3.031208
Publikováno v:
International Journal of Production Research. 59:6146-6165
Given that a U-shaped assembly line is usually regarded as a serial flow production system, preventive maintenance (PM) on machines in any station of the line may lead to stoppage of the whole line...
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7ec3ead7265e4b0cf0e5115a0e349751
https://doi.org/10.1080/00207543.2020.1804639
https://doi.org/10.1080/00207543.2020.1804639
Publikováno v:
Mechatronic Systems and Control. 50
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::66f2092d35fcef8272d268e22d4e6fb4
https://doi.org/10.2316/j.2022.201-0308
https://doi.org/10.2316/j.2022.201-0308
Publikováno v:
Frontiers in bioengineering and biotechnology. 10
Recent work has shown that deep convolutional neural network is capable of solving inverse problems in computational imaging, and recovering the stress field of the loaded object from the photoelastic fringe pattern can also be regarded as an inverse
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::693602bcd6e84991727339804bc98a21
https://pubmed.ncbi.nlm.nih.gov/35387296
https://pubmed.ncbi.nlm.nih.gov/35387296
Autor:
Xinbo Qian, Guoqiang Tong
Publikováno v:
Proceedings of the 2020 2nd International Conference on Robotics, Intelligent Control and Artificial Intelligence.
Predictive maintenance is the latest maintenance strategy, and it has been widely used in many areas. For most applications, condition monitoring may not directly reflect the degree of degradation. Therefore, both condition monitoring and life data c
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::dd4dabf5e33cb307fb02d304f18a6010
https://doi.org/10.1145/3438872.3439075
https://doi.org/10.1145/3438872.3439075