DTFN: An interpretable differentiable time-frequency network for rolling bearing fault diagnosis with few samples

Advanced Engineering Informatics 2026

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Authors: Guangyi Chen, Xi Li, Gang Tang

DOI: 10.1016/j.aei.2026.104623

Cited by: 4

References: 42

Fields of Study & Subjects

Machine Fault Diagnosis Techniques Gear and Bearing Dynamics Analysis Machine Learning and ELM

References 42