A deep convolutional neural network with new training methods for bearing fault diagnosis under noisy environment and different working load

Mechanical Systems and Signal Processing

Volumn 100, Issue , 2018, Pages 439-453

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

^a HARBIN INSTITUTE OF TECHNOLOGY   (China)

Author keywords

Anti noise; Convolutional neural networks; End to end; Intelligent fault diagnosis; Load domain adaptation

Indexed keywords

CONVOLUTION; DEEP NEURAL NETWORKS; FAILURE ANALYSIS; LEARNING ALGORITHMS; LEARNING SYSTEMS; NEURAL NETWORKS;

ANTI NOISE; CONVOLUTIONAL NEURAL NETWORK; DOMAIN ADAPTATION; END TO END; INTELLIGENT FAULT DIAGNOSIS;

FAULT DETECTION;

EID: 85028727944     PISSN: 08883270     EISSN: 10961216     Source Type: Journal    
DOI: 10.1016/j.ymssp.2017.06.022     Document Type: Article

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