Adaptive fault diagnosis algorithm for rolling bearings based on one-dimensional convolutional neural network;基于一维卷积神经网络的滚动轴承自适应故障诊断算法*

Yi Qi Yi Biao Xue Bao/Chinese Journal of Scientific Instrument

Volumn 39, Issue 7, 2018, Pages 134-143

  Qu, Jianling ^a   Yu, Lu ^a   Yuan, Tao ^a   Tian, Yanping ^a   Gao, Feng ^a  

^a Qingdao Branch of Naval Aviation Engineering Institute   (China)

Author keywords

Adaptive feature extraction; Deep learning; Intelligent fault diagnosis; One dimensional convolutional neural network; Vibration signal

Indexed keywords

CONVOLUTION; DEEP LEARNING; EXTRACTION; FAULT DETECTION; FEATURE EXTRACTION; LEARNING ALGORITHMS; NEURAL NETWORKS; ROLLER BEARINGS;

ADAPTIVE FEATURE EXTRACTIONS; CONVOLUTIONAL NEURAL NETWORK; DEEP LEARNING; DIAGNOSIS ALGORITHMS; FAULTS DIAGNOSIS; INTELLIGENT FAULT DIAGNOSIS; ONE-DIMENSIONAL; ONE-DIMENSIONAL CONVOLUTIONAL NEURAL NETWORK; ROLLING BEARINGS; VIBRATION SIGNAL;

FAILURE ANALYSIS;

EID: 85059507164     PISSN: 02543087     EISSN: None     Source Type: Journal    
DOI: 10.19650/j.cnki.cjsi.J1803286     Document Type: Article

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