reviewTop 1% cited
A review on the application of deep learning in system health management
Mechanical Systems and Signal Processing · 2018 · Vol. 107 · pp. 241–265
Samir Khan✉(The University of Tokyo)Takehisa Yairi(The University of Tokyo)
Anomaly Detection Techniques and ApplicationsFault Detection and Control SystemsRisk and Safety AnalysisDeep learningLearning ManagementEngineeringComputer scienceAeronauticsArtificial intelligenceEngineering managementMultimedia
Funding
- Japan Society for the Promotion of Science
Citations
1,079
FWCI
82.25
field-weighted impact
References
120
Percentile
100%
vs. same field & year
Citations per year
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References
Prognostics and health management design for rotary machinery systems—Reviews, methodology and applications
Mechanical Systems and Signal Processing · 2013 · 1,485 citations
Deep learning in neural networks: An overview
Neural Networks · 2014 · 17,774 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
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
Learning to Monitor Machine Health with Convolutional Bi-Directional LSTM Networks
Sensors · 2017 · 722 citations
Energy-Fluctuated Multiscale Feature Learning With Deep ConvNet for Intelligent Spindle Bearing Fault Diagnosis
IEEE Transactions on Instrumentation and Measurement · 2017 · 480 citations
Multisensor Feature Fusion for Bearing Fault Diagnosis Using Sparse Autoencoder and Deep Belief Network
IEEE Transactions on Instrumentation and Measurement · 2017 · 852 citations
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