Automatic multi-fault recognition in TFDS based on convolutional neural network

Neurocomputing

Volumn 222, Issue , 2017, Pages 127-136

  Sun, Junhua ^a   Xiao, Zhongwen ^a   Xie, Yanxia ^a  

^a BEIHANG UNIVERSITY   (China)

Author keywords

Convolutional neural network; Freight train faults; Image recognition; Multi fault recognition; Region detection

Indexed keywords

CONVOLUTION; FREIGHT TRANSPORTATION; IMAGE RECOGNITION; NEURAL NETWORKS; RAILROAD TRANSPORTATION;

AUTOMATIC FAULT RECOGNITION; CONVOLUTIONAL NEURAL NETWORK; FREIGHT TRAINS; MULTI-FAULT RECOGNITION; RECOGNITION ABILITIES; RECOGNITION ACCURACY; REGION DETECTION; SAFETY OF RUNNING;

FREIGHT CARS;

ACCURACY; ARTICLE; ARTIFICIAL NEURAL NETWORK; AUTOMATION; CALCULATION; CONTROLLED STUDY; CONVOLUTIONAL NEURAL NETWORK; IMAGE ANALYSIS; IMAGE PROCESSING; IMAGE QUALITY; INFORMATION PROCESSING; MATHEMATICAL COMPUTING; MULTIFAULT RECOGNITION; PRIORITY JOURNAL; TRAFFIC AND TRANSPORT; TROUBLE OF RUNNING FREIGHT TRAIN DETECTION SYSTEM;

EID: 84997402909     PISSN: 09252312     EISSN: 18728286     Source Type: Journal    
DOI: 10.1016/j.neucom.2016.10.018     Document Type: Article

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