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E-jet printed sensors and deep learning for advanced EMS cart condition monitoring

Xiaolong Wu Kai Li Hao Fu Pengxiang Li Jieqi Zhao Bin Lin Anjie Zheng Leilei Zhu Yexin Wang

纳米技术与精密工程2026,Vol.9Issue(2):69-86,18.
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纳米技术与精密工程2026,Vol.9Issue(2):69-86,18.DOI:10.1063/5.0291179

E-jet printed sensors and deep learning for advanced EMS cart condition monitoring

E-jet printed sensors and deep learning for advanced EMS cart condition monitoring

Xiaolong Wu 1Kai Li 2Hao Fu 1Pengxiang Li 1Jieqi Zhao 1Bin Lin 1Anjie Zheng 1Leilei Zhu 1Yexin Wang2

作者信息

  • 1. Ningbo Cigarette Factory,Zhejiang China Tobacco Industry Co.,Ltd.,Ningbo 315040,China
  • 2. School of Mechanical Engineering and Mechanics,Ningbo University,Ningbo 315211,China
  • 折叠

摘要

关键词

Printing/EMS cart system/Customized sensor/Fault detection/Transfer learning

Key words

Printing/EMS cart system/Customized sensor/Fault detection/Transfer learning

引用本文复制引用

Xiaolong Wu,Kai Li,Hao Fu,Pengxiang Li,Jieqi Zhao,Bin Lin,Anjie Zheng,Leilei Zhu,Yexin Wang..E-jet printed sensors and deep learning for advanced EMS cart condition monitoring[J].纳米技术与精密工程,2026,9(2):69-86,18.

基金项目

This research was supported by the National Natural Sci-ence Foundation of China(Grant Nos.52575403 and U24A20137),the Natural Science Foundation of Zhejiang Province(Grant No.LMS26E050021),the Ningbo Natural Science Foundation(Grant Nos.2024J427,2023J376,and 2022J008),the Ningbo Sci-ence and Technology Plan Project(Grant No.2023T011),the Ningbo Yongjiang Talent Introduction Programme(Grant No.2021A-137-G),the Key Research and Development Program of Ningbo(Grant No.2025Z133),the Central Government Guided Local Science and Technology Development Fund Projects(Grant No.2025ZY01059),and the Ningbo Zhenhai 14th Five-Year Plan's Technological Breakthrough Projects(Grant No.2022001). (Grant Nos.52575403 and U24A20137)

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