Magnetic Spring and Its Application in Fuze

Yu, Haoyuan; Sui, Li; Bian, Xinyuan; Zhao, Qiaoran

doi:10.1109/aiea51086.2020.00098

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Improve the Safety Management Ability1

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2023

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“…For example, with cameras and deep learning algorithms, the system can identify possible security risks in real time, such as abnormal behavior, devices that do not operate as required, and immediately issue a warning or automatic shutdown. [1] In addition, predictive maintenance technology can predict and detect potential ISSN 2706-655X Vol.5, Issue 11: 72-77, DOI: 10.25236/IJFET.2023.051111…”

Section: Improve the Safety Management Abilitymentioning

confidence: 99%

Analysis on the application of artificial intelligence in machinery manufacturing and its automation

2023

IJFET

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With the progress of science and technology, artificial intelligence has achieved significant applications in many fields. This paper aims to explore the application of artificial intelligence in mechanical manufacturing and automation, reveal its advantages, and analyze its specific application in mechanical design, manufacturing, fault diagnosis, information processing, computing and data storage, and autonomous identification system. We find that AI not only helps to improve the efficiency and quality of machinery manufacturing, but also provides broad prospects for the future development of manufacturing.

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Section: Improve the Safety Management Abilitymentioning

confidence: 99%

Analysis on the application of artificial intelligence in machinery manufacturing and its automation

2023

IJFET

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show abstract

Magnetic Spring and Its Application in Fuze

Cited by 1 publication

References 1 publication

Analysis on the application of artificial intelligence in machinery manufacturing and its automation

Analysis on the application of artificial intelligence in machinery manufacturing and its automation

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