Deep Learning for Infrared Thermal Image Based Machine Health Monitoring

IEEE/ASME Transactions on Mechatronics

Volumn 23, Issue 1, 2018, Pages 151-159

  Janssens, Olivier ^a   Van De Walle, Rik ^a   Loccufier, Mia ^b   Van Hoecke, Sofie ^a  

^a IMEC   (Belgium)

^b GHENT UNIVERSITY   (Belgium)

Author keywords

Fault detection; machine learning algorithms; neural networks; preventive maintenance

Indexed keywords

ARTIFICIAL INTELLIGENCE; COMPLEX NETWORKS; CONDITION MONITORING; DEEP NEURAL NETWORKS; EDUCATION; EXTRACTION; FAULT DETECTION; FEATURE EXTRACTION; LEARNING ALGORITHMS; LEARNING SYSTEMS; MACHINERY; NEURAL NETWORKS;

CONVOLUTIONAL NEURAL NETWORK; FEATURE ENGINEERINGS; FEATURE EXTRACTION METHODS; INFRARED THERMAL IMAGE; MACHINE HEALTH MONITORING; MEASURED SIGNALS; TRAINED NEURAL NETWORKS; VIBRATIONS;

DEEP LEARNING;

EID: 85023191940     PISSN: 10834435     EISSN: None     Source Type: Journal    
DOI: 10.1109/TMECH.2017.2722479     Document Type: Article

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