review Open AccessTop 1% cited
A comprehensive review on convolutional neural network in machine fault diagnosis
Neurocomputing · 2020 · Vol. 417 · pp. 36–63
Jinyang Jiao(Xi'an Jiaotong University)Ming Zhao(Xi'an Jiaotong University)Jing Lin✉(Beihang University)Kaixuan Liang(Xi'an Jiaotong University)
Machine Fault Diagnosis TechniquesFault Detection and Control SystemsEngineering Diagnostics and ReliabilityComputer scienceConvolutional neural networkField (mathematics)Process (computing)Artificial intelligenceMachine learningFault (geology)Data scienceFeature (linguistics)Artificial neural network
Funding
- National Natural Science Foundation of China
- Fundamental Research Funds for the Central Universities
Citations
531
FWCI
41.56
field-weighted impact
References
275
Percentile
100%
vs. same field & year
Citations per year
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References
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IEEE Transactions on Instrumentation and Measurement · 2014 · 645 citations
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Science · 2006 · 20,627 citations
ImageNet classification with deep convolutional neural networks
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Construction of hierarchical diagnosis network based on deep learning and its application in the fault pattern recognition of rolling element bearings
Mechanical Systems and Signal Processing · 2015 · 548 citations
Deep neural networks: A promising tool for fault characteristic mining and intelligent diagnosis of rotating machinery with massive data
Mechanical Systems and Signal Processing · 2015 · 1,655 citations
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