A brain-inspired energy-efficient Wide Spiking Residual Attention Framework for intelligent fault diagnosis
Author:
Publisher
Elsevier BV
Subject
Industrial and Manufacturing Engineering,Safety, Risk, Reliability and Quality
Reference45 articles.
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1. Neural-transformer: A brain-inspired lightweight mechanical fault diagnosis method under noise;Reliability Engineering & System Safety;2024-11
2. An optimized dynamic model improved deep discriminative transfer learning network for fault detection in rotation vector reducers;Reliability Engineering & System Safety;2024-11
3. A Review of Spiking Neural Network Research in the Field of Bearing Fault Diagnosis;Mechanisms and Machine Science;2024
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