Citation Impact
Citing Papers
AI technologies for education: Recent research & future directions
2021 Standout
Deep learning algorithms for rotating machinery intelligent diagnosis: An open source benchmark study
2020 Standout
Singular spectrum analysis and continuous hidden Markov model for rolling element bearing fault diagnosis
2013
A review on empirical mode decomposition in fault diagnosis of rotating machinery
2012 Standout
Fault Diagnosis of Rotating Machinery Based on Deep Reinforcement Learning and Reciprocal of Smoothness Index
2020
Artificial intelligence for fault diagnosis of rotating machinery: A review
2018 Standout
Prognostics and Health Management: A Review of Vibration Based Bearing and Gear Health Indicators
2017 Standout
Deep neural networks: A promising tool for fault characteristic mining and intelligent diagnosis of rotating machinery with massive data
2015 Standout
Acoustic emission-based condition monitoring methods: Review and application for low speed slew bearing
2015
A Combination of WKNN to Fault Diagnosis of Rolling Element Bearings
2009
Faulty bearing signal recovery from large noise using a hybrid method based on spectral kurtosis and ensemble empirical mode decomposition
2012
A recurrent neural network based health indicator for remaining useful life prediction of bearings
2017 Standout
Fault diagnosis of rotary machinery components using a stacked denoising autoencoder-based health state identification
2016 Standout
Application of a Novel Hybrid Intelligent Method to Compound Fault Diagnosis of Locomotive Roller Bearings
2008
An improved simplex-based adaptive evolutionary digital filter and its application for fault detection of rolling element bearings
2014
Lego NXT information on test dimensionality using Kolb’s innovative learning cycle
2012
Intelligent fault diagnosis of rolling bearing based on kernel neighborhood rough sets and statistical features
2012
Development and trend of condition monitoring and fault diagnosis of multi-sensors information fusion for rolling bearings: a review
2018
Experimental Evaluation of a Unified Time-Scale-Frequency Technique for Bearing Defect Feature Extraction
2009
Hybrid data fusion approach for fault diagnosis of fixed-axis gearbox
2017
Machinery health prognostics: A systematic review from data acquisition to RUL prediction
2017 Standout
Roller element bearing fault diagnosis using singular spectrum analysis
2012
Digital Twin in manufacturing: A categorical literature review and classification
2018 Standout
Early fault diagnosis of bearing and stator faults of the single-phase induction motor using acoustic signals
2017 Standout
Tool-wear prediction and pattern-recognition using artificial neural network and DNA-based computing
2015
Comprehensive Review of Artificial Neural Network Applications to Pattern Recognition
2019 Standout
Health assessment and life prediction of cutting tools based on support vector regression
2013
A deep convolutional neural network with new training methods for bearing fault diagnosis under noisy environment and different working load
2017 Standout
Multiscale Convolutional Neural Networks for Fault Diagnosis of Wind Turbine Gearbox
2018 Standout
A Review of Fault Detection and Diagnosis for the Traction System in High-Speed Trains
2019 Standout
Digital Twins: A Survey on Enabling Technologies, Challenges, Trends and Future Prospects
2022 Standout
Applications of machine learning to machine fault diagnosis: A review and roadmap
2020 Standout
Rolling element bearing faults diagnosis based on optimal Morlet wavelet filter and autocorrelation enhancement
2009
A summary of fault modelling and predictive health monitoring of rolling element bearings
2015
A review on signal processing techniques utilized in the fault diagnosis of rolling element bearings
2016 Standout
Wavelets for fault diagnosis of rotary machines: A review with applications
2013 Standout
Harmonic wavelet-based data filtering for enhanced machine defect identification
2010
Works of Xavier Chiementin being referenced
Digital twin-driven machine learning: ball bearings fault severity classification
2020
Tool wear monitoring by machine learning techniques and singular spectrum analysis
2010
Effect of cascade methods on vibration defects detection
2010
Performance of wavelet denoising in vibration analysis: highlighting
2011
Effect of the Denoising on Acoustic Emission Signals
2010
Singular Spectrum Analysis for Bearing Defect Detection
2011
Localization and quantification of vibratory sources: Application to the predictive maintenance of rolling bearings
2008
Early Detection of Fatigue Damage on Rolling Element Bearings Using Adapted Wavelet
2007
Cyclostationarity of Acoustic Emissions (AE) for monitoring bearing defects
2011