Research on fault diagnosis method of planetary gearbox based on dynamic simulation and deep transfer learning

Mengmeng Song; Zicheng Xiong; Jianhua Zhong; Shungen Xiao; Yaohong Tang

doi:10.1038/s41598-022-21339-5

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Research on fault diagnosis method of planetary gearbox based on dynamic simulation and deep transfer learning

Mengmeng Song Zicheng Xiong Jianhua Zhong Shungen Xiao Yaohong Tang

Year: 2022 Journal: Scientific Reports Vol: 12 (1)Pages: 17023-17023 Publisher: Nature Portfolio

DOI: 10.1038/s41598-022-21339-5

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Keywords:

Computer science Fault (geology) Transfer of learning Drivetrain Convolutional neural network Deep learning Artificial intelligence Dynamic simulation Domain (mathematical analysis) Artificial neural network Simulation Torque

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Topics

Machine Fault Diagnosis Techniques

Physical Sciences → Engineering → Control and Systems Engineering

Gear and Bearing Dynamics Analysis

Physical Sciences → Engineering → Mechanical Engineering

Engineering Diagnostics and Reliability

Physical Sciences → Engineering → Mechanics of Materials

Research on fault diagnosis method of planetary gearbox based on dynamic simulation and deep transfer learning

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