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Dynamic Vision-Based Machinery Fault Diagnosis With Cross-Modality Feature Alignment

Xiang Li Shupeng Yu Yaguo Lei Naipeng Li Bin Yang

自动化学报(英文版)2024,Vol.11Issue(10):2068-2081,14.
自动化学报(英文版)2024,Vol.11Issue(10):2068-2081,14.DOI:10.1109/JAS.2024.124470

Dynamic Vision-Based Machinery Fault Diagnosis With Cross-Modality Feature Alignment

Dynamic Vision-Based Machinery Fault Diagnosis With Cross-Modality Feature Alignment

Xiang Li 1Shupeng Yu 1Yaguo Lei 1Naipeng Li 1Bin Yang1

作者信息

  • 1. Key Laboratory of Education Ministry for Modern Design and Rotor-Bearing System,Xi'an Jiaotong University,Xi'an 710049,China
  • 折叠

摘要

关键词

Condition monitoring/domain generalization/event-based camera/fault diagnosis/machine vision

Key words

Condition monitoring/domain generalization/event-based camera/fault diagnosis/machine vision

引用本文复制引用

Xiang Li,Shupeng Yu,Yaguo Lei,Naipeng Li,Bin Yang..Dynamic Vision-Based Machinery Fault Diagnosis With Cross-Modality Feature Alignment[J].自动化学报(英文版),2024,11(10):2068-2081,14.

基金项目

This work was supported by the National Science Fund for Distinguished Young Scholars of China(52025056),the China Postdoctoral Science Foundation(2023M732789),the China Postdoctoral Innovative Talents Support Program(BX20230290),and the Fundamental Research Funds for the Central Universities(xzy012022062). (52025056)

自动化学报(英文版)

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