articleTop 1% cited
Deep normalized convolutional neural network for imbalanced fault classification of machinery and its understanding via visualization
Mechanical Systems and Signal Processing · 2018 · Vol. 110 · pp. 349–367
Feng Jia(Xi'an Jiaotong University)Yaguo Lei✉(Xi'an Jiaotong University)Na Lü(Xi'an Jiaotong University)Saibo Xing(Xi'an Jiaotong University)
Machine Fault Diagnosis TechniquesIndustrial Vision Systems and Defect DetectionNon-Destructive Testing TechniquesConvolutional neural networkArtificial intelligenceDeep learningComputer scienceFault (geology)Pattern recognition (psychology)Feature (linguistics)Machine learningArtificial neural networkFeature extraction
Funding
- National Natural Science Foundation of China
- Southwest Jiaotong University
- Southwest University
Citations
571
FWCI
49.20
field-weighted impact
References
38
Percentile
100%
vs. same field & year
Citations per year
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A New Deep Learning Model for Fault Diagnosis with Good Anti-Noise and Domain Adaptation Ability on Raw Vibration Signals
Sensors · 2017 · 1,574 citations
A recurrent neural network based health indicator for remaining useful life prediction of bearings
Neurocomputing · 2017 · 1,188 citations
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