articleTop 1% cited
A recurrent neural network based health indicator for remaining useful life prediction of bearings
Neurocomputing · 2017 · Vol. 240 · pp. 98–109
Liang Guo(Xi'an Jiaotong University)Naipeng Li(Xi'an Jiaotong University)Feng Jia(Xi'an Jiaotong University)Yaguo Lei✉(Southwest Jiaotong University)Jing Lin(Xi'an Jiaotong University)
Machine Fault Diagnosis TechniquesGear and Bearing Dynamics AnalysisEngineering Diagnostics and ReliabilityComputer scienceMonotonic functionRecurrent neural networkFeature (linguistics)Bearing (navigation)Artificial intelligenceArtificial neural networkSet (abstract data type)Field (mathematics)Pattern recognition (psychology)
Funding
- National Natural Science Foundation of China
Citations
1,188
FWCI
75.95
field-weighted impact
References
50
Percentile
100%
vs. same field & year
Citations per year
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References
Residual life predictions for ball bearings based on self-organizing map and back propagation neural network methods
Mechanical Systems and Signal Processing · 2006 · 510 citations
Rotating machinery prognostics: State of the art, challenges and opportunities
Mechanical Systems and Signal Processing · 2008 · 1,161 citations
Long Short-Term Memory
Neural Computation · 1997 · 95,078 citations
Prognosis of Defect Propagation Based on Recurrent Neural Networks
IEEE Transactions on Instrumentation and Measurement · 2011 · 304 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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