articleEngineering Applications of Artificial IntelligenceApr 3, 2026Closed access

Spatial-channel collaborative multi-scale graph interaction deep transfer learning for unsupervised rotating machinery fault diagnosis

XWXin WangHJHongkai JiangYDYutong DongMMMingzhe Mu

Northwestern Polytechnical University

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Abstract

No abstract available for this paper.

Citation impact

15
total citations
FWCI
184.64
Percentile
100%
References
35
Too recent for citation history.

Authors

4

Topics & keywords

Topics
Keywords
  • Graph
  • Fuse (electrical)
  • Feature learning
  • Transfer of learning
  • Feature extraction
  • Unsupervised learning
  • Constraint (computer-aided design)
  • Feature (linguistics)
UN Sustainable Development Goals
  • Industry, innovation and infrastructure
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