Research on fault diagnosis method for variable condition planetary gearbox based on SKN attention mechanism and deep transfer learning

N. Huang; Mengmeng Song; Yaohong Tang; Lichao Huang; Zhiwen Chen

doi:10.1038/s41598-025-04858-9

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Research on fault diagnosis method for variable condition planetary gearbox based on SKN attention mechanism and deep transfer learning

N. Huang Mengmeng Song Yaohong Tang Lichao Huang Zhiwen Chen

Year: 2025 Journal: Scientific Reports Vol: 15 (1)Pages: 22921-22921 Publisher: Nature Portfolio

DOI: 10.1038/s41598-025-04858-9

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Keywords:

Computer science Artificial intelligence Deep learning Fault (geology) Transfer of learning Pattern recognition (psychology) Artificial neural network Kernel (algebra) Feature (linguistics) Convolution (computer science) Feature extraction Machine learning Mathematics

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Topics

Machine Fault Diagnosis Techniques

Physical Sciences → Engineering → Control and Systems Engineering

Mechanical Failure Analysis and Simulation

Physical Sciences → Engineering → Mechanical Engineering

Engineering Diagnostics and Reliability

Physical Sciences → Engineering → Mechanics of Materials

Research on fault diagnosis method for variable condition planetary gearbox based on SKN attention mechanism and deep transfer learning

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