Zobrazeno 1 - 10
of 102
pro vyhledávání: '"Xiaoning Jin"'
Publikováno v:
IEEE Access, Vol 11, Pp 47646-47658 (2023)
Traffic signal control (TSC) is a challenging problem within intelligent transportation systems and has been tackled using multi-agent reinforcement learning (MARL). While centralized approaches are often infeasible for large-scale TSC problems, dece
Externí odkaz:
https://doaj.org/article/33e0ecb5e83847a29133ada528c0b586
Present Status and Future Growth of Advanced Maintenance Technology and Strategy in US Manufacturing
Publikováno v:
International Journal of Prognostics and Health Management, Vol 7, Iss 3 (2016)
The goals of this paper are to 1) examine the current practices of diagnostics, prognostics, and maintenance employed by United States (U.S.) manufacturers to achieve productivity and quality targets and 2) to understand the present level of maintena
Externí odkaz:
https://doaj.org/article/7bdfc1173414421c8e0f8295a62f64f2
Publikováno v:
International Journal of Prognostics and Health Management, Vol 7, Iss 3 (2016)
One of the main challenges in prognostics is degradation modeling for which there are no straightforward methods compared with system governing equations modeling (e.g., Newton`s law, Euler`s law, thermodynamics conservation laws, fluid dynamics laws
Externí odkaz:
https://doaj.org/article/c2d32c8469904fe3b85f5f7bce42e226
Publikováno v:
Manufacturing Review, Vol 1, p 10 (2014)
The automotive industry can be described as a backbone in many developed countries such as Japan, Korea, USA, and Germany, while being an enabler for economic prosperity in developing countries like China, Brazil, Eastern Europe, and Russia at the sa
Externí odkaz:
https://doaj.org/article/1e1870d1c17744c8b06a8090c0f66f8d
Publikováno v:
Chinese Journal of Chromatography. 41:1-13
Publikováno v:
IISE Transactions. 55:672-686
Publikováno v:
Journal of Separation Science.
Autor:
Xiaoning Jin, Anqi He
Publikováno v:
IEEE Transactions on Reliability. 70:1581-1595
With the rapid development of artificial intelligence (AI) in recent years, fault diagnostics for industrial applications have leaped toward partially or fully automatic provided by the capability of analyzing massive condition monitoring data from s
Publikováno v:
2022 International Additive Manufacturing Conference.
Roll-to-Roll (R2R) printing techniques are promising for high-volume continuous production of substrate-based products, as opposed to sheet-to-sheet (S2S) approach suited for low-volume work. However, meeting the tight alignment tolerance requirement
Publikováno v:
Chinese Chemical Letters. 34:107892