An adaptive multi-sensor data fusion method based on deep convolutional neural networks for fault diagnosis of planetary gearbox

Sensors (Switzerland)

Volumn 17, Issue 2, 2017, Pages

  Jing, Luyang ^a   Wang, Taiyong ^a   Zhao, Ming ^b   Wang, Peng ^a  

^a TIANJIN UNIVERSITY   (China)

^b XI'AN JIAOTONG UNIVERSITY   (China)

Author keywords

Deep convolutional neural networks; Fault diagnosis; Feature learning; Multi sensor data fusion; Planetary gearbox

Indexed keywords

BACKPROPAGATION; CONVOLUTION; DAMAGE DETECTION; DEEP NEURAL NETWORKS; FAILURE ANALYSIS; FEATURE EXTRACTION; GEARS; NEURAL NETWORKS; SENSOR DATA FUSION; SUPPORT VECTOR MACHINES;

BACK-PROPAGATION NEURAL NETWORKS; COMPARATIVE METHODS; DEEP CONVOLUTIONAL NEURAL NETWORKS; DETECTION PROBLEMS; FEATURE LEARNING; INTELLIGENT MODELS; MULTISENSOR DATA FUSION; PLANETARY GEARBOXES;

FAULT DETECTION;

EID: 85013831942     PISSN: 14248220     EISSN: None     Source Type: Journal    
DOI: 10.3390/s17020414     Document Type: Article

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