A sparse stacked denoising autoencoder with optimized transfer learning applied to the fault diagnosis of rolling bearings

Meidi Sun; Hui Wang; Ping Liu; Shoudao Huang; Peng Fan

doi:10.1016/j.measurement.2019.06.029

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A sparse stacked denoising autoencoder with optimized transfer learning applied to the fault diagnosis of rolling bearings

Meidi Sun Hui Wang Ping Liu Shoudao Huang Peng Fan

Year: 2019 Journal: Measurement Vol: 146 Pages: 305-314 Publisher: Elsevier BV

DOI: 10.1016/j.measurement.2019.06.029

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Keywords:

Autoencoder Artificial intelligence Deep learning Robustness (evolution) Computer science Pattern recognition (psychology) Noise reduction Fault (geology) Transfer of learning Feature extraction Feature learning Data mining Machine learning

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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

A sparse stacked denoising autoencoder with optimized transfer learning applied to the fault diagnosis of rolling bearings

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Citation History

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