Research on Bearing Fault Recognition Based on PSO-MCKD and 1D-CNN

Yinling Wang; Xianming Yin

doi:10.1007/978-981-19-2689-1_77

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Research on Bearing Fault Recognition Based on PSO-MCKD and 1D-CNN

Yinling Wang Xianming Yin

Year: 2022 Lecture notes in electrical engineering Pages: 1005-1018 Publisher: Springer Science+Business Media

DOI: 10.1007/978-981-19-2689-1_77

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Keywords:

Particle swarm optimization Fault (geology) Pattern recognition (psychology) Convolutional neural network Bearing (navigation) Feature extraction Computer science Artificial intelligence Feature (linguistics) SIGNAL (programming language) Kurtosis Artificial neural network Algorithm Mathematics

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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

Fault Detection and Control Systems

Physical Sciences → Engineering → Control and Systems Engineering

Research on Bearing Fault Recognition Based on PSO-MCKD and 1D-CNN

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Citation History

Topics

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