articleTop 1% cited
A deep convolutional neural network with new training methods for bearing fault diagnosis under noisy environment and different working load
Mechanical Systems and Signal Processing · 2017 · Vol. 100 · pp. 439–453
Wěi Zhāng(Harbin Institute of Technology)Chuanhao Li(Harbin Institute of Technology)Gaoliang Peng✉(Harbin Institute of Technology)Yuanhang Chen(Harbin Institute of Technology)Zhujun Zhang(Harbin Institute of Technology)
Machine Fault Diagnosis TechniquesFault Detection and Control SystemsEngineering Diagnostics and ReliabilityComputer scienceArtificial intelligencePreprocessorFault (geology)Noise (video)Adaptation (eye)Convolutional neural networkDeep learningArtificial neural networkMachine learning
Funding
- National Natural Science Foundation of China
- State Key Laboratory of Robotics and System
Citations
1,294
FWCI
71.68
field-weighted impact
References
41
Percentile
100%
vs. same field & year
Citations per year
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References
A Survey of Fault Diagnosis and Fault-Tolerant Techniques—Part I: Fault Diagnosis With Model-Based and Signal-Based Approaches
IEEE Transactions on Industrial Electronics · 2015 · 2,965 citations
Bearing fault diagnosis based on wavelet transform and fuzzy inference
Mechanical Systems and Signal Processing · 2003 · 678 citations
Gradient-based learning applied to document recognition
Proceedings of the IEEE · 1998 · 57,014 citations
ImageNet classification with deep convolutional neural networks
Communications of the ACM · 2017 · 75,550 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
Convolutional Neural Network Based Fault Detection for Rotating Machinery
Journal of Sound and Vibration · 2016 · 1,206 citations
Real-time vibration-based structural damage detection using one-dimensional convolutional neural networks
Journal of Sound and Vibration · 2016 · 1,202 citations
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