article Open AccessTop 1% cited
A deep learning method for bearing fault diagnosis based on Cyclic Spectral Coherence and Convolutional Neural Networks
Mechanical Systems and Signal Processing · 2020 · Vol. 140 · pp. 106683–106683
Zhuyun Chen(South China University of Technology)Alexandre Mauricio(Flanders Make (Belgium))Weihua Li✉(South China University of Technology)Konstantinos Gryllias(Flanders Make (Belgium))
Machine Fault Diagnosis TechniquesGear and Bearing Dynamics AnalysisEngineering Diagnostics and ReliabilityDiscriminative modelArtificial intelligenceComputer sciencePattern recognition (psychology)Convolutional neural networkDeep learningNormalization (sociology)Rolling-element bearingCyclostationary processFeature learning
Funding
- National Natural Science Foundation of China
- National Key Research and Development Program of China
Citations
443
FWCI
42.46
field-weighted impact
References
50
Percentile
100%
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Citations per year
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References
Rolling element bearing diagnostics using the Case Western Reserve University data: A benchmark study
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Gradient-based learning applied to document recognition
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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
Gearbox fault diagnosis based on deep random forest fusion of acoustic and vibratory signals
Mechanical Systems and Signal Processing · 2016 · 448 citations
Convolutional Neural Network Based Fault Detection for Rotating Machinery
Journal of Sound and Vibration · 2016 · 1,206 citations
Real-Time Motor Fault Detection by 1-D Convolutional Neural Networks
IEEE Transactions on Industrial Electronics · 2016 · 1,333 citations
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 novel deep autoencoder feature learning method for rotating machinery fault diagnosis
Mechanical Systems and Signal Processing · 2017 · 670 citations
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