articleTop 1% cited
1-D CNNs for structural damage detection: Verification on a structural health monitoring benchmark data
Neurocomputing · 2017 · Vol. 275 · pp. 1308–1317
Osama Abdeljaber(Qatar University)Onur Avcı✉(Qatar University)Serkan Kıranyaz(Qatar University)B. Boashash(The University of Queensland)Henry A. Sodano(University of Michigan)Daniel J. Inman(University of Michigan)
Structural Health Monitoring TechniquesInfrastructure Maintenance and MonitoringMachine Fault Diagnosis TechniquesBenchmark (surveying)Computer scienceConvolutional neural networkStructural health monitoringArtificial intelligenceBlock (permutation group theory)Task (project management)Fuse (electrical)Machine learningPattern recognition (psychology)
Citations
499
FWCI
29.15
field-weighted impact
References
74
Percentile
100%
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Citations per year
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References
ImageNet classification with deep convolutional neural networks
Communications of the ACM · 2017 · 75,550 citations
Deep learning for visual understanding: A review
Neurocomputing · 2015 · 2,466 citations
Real-Time Patient-Specific ECG Classification by 1-D Convolutional Neural Networks
IEEE Transactions on Biomedical Engineering · 2015 · 1,797 citations
Real-Time Motor Fault Detection by 1-D Convolutional Neural Networks
IEEE Transactions on Industrial Electronics · 2016 · 1,333 citations
Real-time vibration-based structural damage detection using one-dimensional convolutional neural networks
Journal of Sound and Vibration · 2016 · 1,202 citations
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