articleMechanical Systems and Signal ProcessingApr 1, 2017Closed access

A novel deep autoencoder feature learning method for rotating machinery fault diagnosis

Northwestern Polytechnical University

Indexed incrossref

Abstract

No abstract available for this paper.

Citation impact

676
total citations
FWCI
46.52
Percentile
100%
References
36
Citations per year

Authors

4

Topics & keywords

Keywords
  • Autoencoder
  • Artificial intelligence
  • Fault (geology)
  • Feature (linguistics)
  • Pattern recognition (psychology)
  • Deep learning
  • SIGNAL (programming language)
  • Vibration
UN Sustainable Development Goals
  • Life below water
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