articleTop 1% cited
A novel method for intelligent fault diagnosis of rolling bearings using ensemble deep auto-encoders
Mechanical Systems and Signal Processing · 2017 · Vol. 102 · pp. 278–297
Haidong Shao(Northwestern Polytechnical University)Hongkai Jiang✉(Northwestern Polytechnical University)Ying Lin(Northwestern Polytechnical University)Xingqiu Li(Northwestern Polytechnical University)
Machine Fault Diagnosis TechniquesGear and Bearing Dynamics AnalysisMechanical Failure Analysis and SimulationFault (geology)Bearing (navigation)AutoencoderFeature extractionArtificial intelligenceVibrationComputer scienceEncoderPattern recognition (psychology)Feature (linguistics)
Funding
- National Natural Science Foundation of China
Citations
453
FWCI
28.71
field-weighted impact
References
37
Percentile
100%
vs. same field & year
Citations per year
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References
Deep learning in neural networks: An overview
Neural Networks · 2014 · 17,774 citations
Reducing the Dimensionality of Data with Neural Networks
Science · 2006 · 20,627 citations
A Fast Learning Algorithm for Deep Belief Nets
Neural Computation · 2006 · 16,253 citations
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
An Intelligent Fault Diagnosis Method Using Unsupervised Feature Learning Towards Mechanical Big Data
IEEE Transactions on Industrial Electronics · 2016 · 1,158 citations
Convolutional Neural Network Based Fault Detection for Rotating Machinery
Journal of Sound and Vibration · 2016 · 1,206 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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