Bearing Fault Diagnosis Using Fully-Connected Winner-Take-All Autoencoder

IEEE Access

Volumn 6, Issue , 2017, Pages 6103-6115

  Li, Chuanhao ^a   Zhang, Wei ^a   Peng, Gaoliang ^a   Liu, Shaohui ^a  

^a HARBIN INSTITUTE OF TECHNOLOGY   (China)

Author keywords

Autoencoder; fault diagnosis; lifetime sparsity; signal processing; signal representations; supervised learning; vibrations

Indexed keywords

COMPLEX NETWORKS; DEEP LEARNING; EDUCATION; FAILURE ANALYSIS; FEATURE EXTRACTION; GAUSSIAN NOISE (ELECTRONIC); INFORMATION MANAGEMENT; LEARNING ALGORITHMS; LEARNING SYSTEMS; MACHINERY; NETWORK LAYERS; NOISE ABATEMENT; PERSONNEL TRAINING; ROBOTS; ROBUSTNESS (CONTROL SYSTEMS); SIGNAL PROCESSING; STATISTICAL TESTS; SUPERVISED LEARNING;

AUTO ENCODERS; LIFETIME SPARSITY; NOISE MEASUREMENTS; SIGNAL REPRESENTATIONS; VIBRATIONS;

FAULT DETECTION;

EID: 85023780160     PISSN: None     EISSN: 21693536     Source Type: Journal    
DOI: 10.1109/ACCESS.2017.2717492     Document Type: Article

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