A new deep learning model for fault diagnosis with good anti-noise and domain adaptation ability on raw vibration signals

Sensors (Switzerland)

Volumn 17, Issue 2, 2017, Pages

  Zhang, Wei ^a   Peng, Gaoliang ^a   Li, Chuanhao ^a   Chen, Yuanhang ^a   Zhang, Zhujun ^a  

^a HARBIN INSTITUTE OF TECHNOLOGY   (China)

Author keywords

Anti noise; Convolutional neural networks; Domain adaptation; Intelligent fault diagnosis

Indexed keywords

CONVOLUTION; DEEP LEARNING; DEEP NEURAL NETWORKS; FAILURE ANALYSIS; MAPPING; MULTILAYERS; NEURAL NETWORKS;

ANTI NOISE; CLASSIFICATION ACCURACY; CONVOLUTIONAL KERNEL; CONVOLUTIONAL NEURAL NETWORK; DOMAIN ADAPTATION; EXTRACTING FEATURES; HIGH-FREQUENCY NOISE; INTELLIGENT FAULT DIAGNOSIS;

FAULT DETECTION;

ARTICLE; CONVOLUTIONAL NEURAL NETWORK; DEEP LEARNING; HUMAN; NOISE; VIBRATION;

EID: 85013858722     PISSN: 14248220     EISSN: None     Source Type: Journal    
DOI: 10.3390/s17020425     Document Type: Article

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