article Open AccessTop 1% cited
A novel time–frequency Transformer based on self–attention mechanism and its application in fault diagnosis of rolling bearings
Mechanical Systems and Signal Processing · 2021 · Vol. 168 · pp. 108616–108616
Yifei Ding(Southeast University)Minping Jia✉(Southeast University)Qiuhua Miao(Southeast University)Yudong Cao(Southeast University)
Machine Fault Diagnosis TechniquesGear and Bearing Dynamics AnalysisEngineering Diagnostics and ReliabilityTransformerComputer scienceVibrationFeature learningEncoderArtificial intelligenceElectronic engineeringEngineeringElectrical engineeringVoltage
Funding
- National Natural Science Foundation of China
Citations
463
FWCI
34.86
field-weighted impact
References
64
Percentile
100%
vs. same field & year
Citations per year
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
A roller bearing fault diagnosis method based on EMD energy entropy and ANN
Journal of Sound and Vibration · 2005 · 554 citations
Long Short-Term Memory
Neural Computation · 1997 · 95,078 citations
A novel deep autoencoder feature learning method for rotating machinery fault diagnosis
Mechanical Systems and Signal Processing · 2017 · 670 citations
Deep normalized convolutional neural network for imbalanced fault classification of machinery and its understanding via visualization
Mechanical Systems and Signal Processing · 2018 · 571 citations
A novel optimized SVM classification algorithm with multi-domain feature and its application to fault diagnosis of rolling bearing
Neurocomputing · 2018 · 490 citations
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