A novel fault diagnosis method for rotating machinery based on a convolutional neural network

Sensors (Switzerland)

Volumn 18, Issue 5, 2018, Pages

  Guo, Sheng ^a   Yang, Tao ^a   Gao, Wei ^a   Zhang, Chen ^a  

^a HUAZHONG UNIVERSITY OF SCIENCE AND TECHNOLOGY   (China)

Author keywords

Convolutional neural network; Fault diagnosis; Vibration; Wavelet transform

Indexed keywords

CLASSIFICATION (OF INFORMATION); CONVOLUTION; FAILURE ANALYSIS; FREQUENCY DOMAIN ANALYSIS; NEURAL NETWORKS; ROTATING MACHINERY; WAVELET TRANSFORMS;

CONTINUOUS WAVELET TRANSFORM; CONVOLUTIONAL NEURAL NETWORK; CONVOLUTIONAL NEURAL NETWORKS (CNN); DIMENSIONALITY REDUCTION; FAULT DIAGNOSIS METHOD; FAULT DIAGNOSIS OF ROTATING MACHINERIES; TIME FREQUENCY DOMAIN; VIBRATION;

FAULT DETECTION;

ARTICLE; CONTINUOUS WAVELET TRANSFORM; CONVOLUTIONAL NEURAL NETWORK; VIBRATION;

EID: 85046677217     PISSN: 14248220     EISSN: None     Source Type: Journal    
DOI: 10.3390/s18051429     Document Type: Article

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