articleTop 1% cited
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 · Vol. 72-73 · pp. 303–315
Feng Jia(Xi'an Jiaotong University)Yaguo Lei✉(Xi'an Jiaotong University)Jing Lin(Xi'an Jiaotong University)Xin Zhou(Xi'an Jiaotong University)Na Lü(Xi'an Jiaotong University)
Machine Fault Diagnosis TechniquesEngineering Diagnostics and ReliabilityFault Detection and Control SystemsFault (geology)Artificial neural networkArtificial intelligenceComputer scienceDeep learningProcess (computing)SIGNAL (programming language)Signal processingMachine learningData mining
Funding
- National Natural Science Foundation of China
- Fundamental Research Funds for the Central Universities
Citations
1,655
FWCI
99.38
field-weighted impact
References
45
Percentile
100%
vs. same field & year
Citations per year
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References
Rolling element bearing diagnostics—A tutorial
Mechanical Systems and Signal Processing · 2010 · 2,459 citations
Early fault diagnosis of rotating machinery based on wavelet packets—Empirical mode decomposition feature extraction and neural network
Mechanical Systems and Signal Processing · 2011 · 492 citations
Prognostics and health management design for rotary machinery systems—Reviews, methodology and applications
Mechanical Systems and Signal Processing · 2013 · 1,485 citations
Bearing fault diagnosis based on wavelet transform and fuzzy inference
Mechanical Systems and Signal Processing · 2003 · 678 citations
Deep learning in neural networks: An overview
Neural Networks · 2014 · 17,774 citations
Fault diagnosis of rotating machinery based on multiple ANFIS combination with GAs
Mechanical Systems and Signal Processing · 2007 · 487 citations
Reducing the Dimensionality of Data with Neural Networks
Science · 2006 · 20,627 citations
Support vector machine in machine condition monitoring and fault diagnosis
Mechanical Systems and Signal Processing · 2007 · 1,551 citations
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