Citation Impact
Citing Papers
Acoustic emission sensor network based fault diagnosis of induction motors using a gabor filter and multiclass support vector machines
2016
A survey on big data-enabled innovative online education systems during the COVID-19 pandemic
2022 Standout
A systematic study of the class imbalance problem in convolutional neural networks
2018 Standout
Deep residual learning-based fault diagnosis method for rotating machinery
2018
Deep learning algorithms for rotating machinery intelligent diagnosis: An open source benchmark study
2020 Standout
Deep transfer network with joint distribution adaptation: A new intelligent fault diagnosis framework for industry application
2019 Standout
Bearing Fault Diagnosis Method Based on Deep Convolutional Neural Network and Random Forest Ensemble Learning
2019
A systematic literature review on intelligent automation: Aligning concepts from theory, practice, and future perspectives
2021 Standout
Multi-bearing remaining useful life collaborative prediction: A deep learning approach
2017
Discriminant Feature Distribution Analysis-Based Hybrid Feature Selection for Online Bearing Fault Diagnosis in Induction Motors
2015
Real-time SVD-based detection of multiple combined faults in induction motors
2014
Current-Based Fault Detection and Identification for Wind Turbine Drivetrain Gearboxes
2016
Artificial intelligence for fault diagnosis of rotating machinery: A review
2018 Standout
Intelligent Bearing Fault Diagnosis Method Combining Compressed Data Acquisition and Deep Learning
2017
Prognostics and Health Management: A Review of Vibration Based Bearing and Gear Health Indicators
2017 Standout
A novel method for intelligent fault diagnosis of rolling bearings using ensemble deep auto-encoders
2017 Standout
A reliable technique for remaining useful life estimation of rolling element bearings using dynamic regression models
2018
A review on data-driven fault severity assessment in rolling bearings
2017
Understanding and improving deep learning-based rolling bearing fault diagnosis with attention mechanism
2019
A feature fusion deep belief network method for intelligent fault diagnosis of rotating machinery
2018
Low speed bearing fault diagnosis using acoustic emission sensors
2015
An enhancement deep feature fusion method for rotating machinery fault diagnosis
2016
Motor Bearing Fault Detection Using Spectral Kurtosis-Based Feature Extraction Coupled With K-Nearest Neighbor Distance Analysis
2015
Deep learning for smart manufacturing: Methods and applications
2018 Standout
Artificial intelligence, bias and clinical safety
2019 Standout
A Review of Early Fault Diagnosis Approaches and Their Applications in Rotating Machinery
2019
A sound based method for fault detection with statistical feature extraction in UAV motors
2021 Standout
Feature Knowledge Based Fault Detection of Induction Motors Through the Analysis of Stator Current Data
2016
Deep Residual Shrinkage Networks for Fault Diagnosis
2019 Standout
Deep Residual Networks With Dynamically Weighted Wavelet Coefficients for Fault Diagnosis of Planetary Gearboxes
2017
A recurrent neural network based health indicator for remaining useful life prediction of bearings
2017 Standout
Diagnosis of the three-phase induction motor using thermal imaging
2016 Standout
A comprehensive review of big data analytics throughout product lifecycle to support sustainable smart manufacturing: A framework, challenges and future research directions
2018 Standout
Deep Learning Algorithms for Bearing Fault Diagnostics—A Comprehensive Review
2020
Fault diagnosis of rotary machinery components using a stacked denoising autoencoder-based health state identification
2016 Standout
Misfire and valve clearance faults detection in the combustion engines based on a multi-sensor vibration signal monitoring
2018
An intelligent fault diagnosis approach based on transfer learning from laboratory bearings to locomotive bearings
2019 Standout
Stochastic Evaluation of Magnetic Head Wears in Hard Disk Drives
2014
Cross-Domain Fault Diagnosis of Rolling Element Bearings Using Deep Generative Neural Networks
2018
A novel deep autoencoder feature learning method for rotating machinery fault diagnosis
2017
Remaining useful life predictions for turbofan engine degradation using semi-supervised deep architecture
2018 Standout
HVSRMS localization formula and localization law: Localization diagnosis of a ball bearing outer ring fault
2018
Diversified learning for continuous hidden Markov models with application to fault diagnosis
2015
On the bi-dimensional variational decomposition applied to nonstationary vibration signals for rolling bearing crack detection in coal cutters
2016
Remaining useful life estimation in prognostics using deep convolution neural networks
2017 Standout
Machine Learning in Predictive Maintenance towards Sustainable Smart Manufacturing in Industry 4.0
2020 Standout
An Intelligent Fault Diagnosis Method Using Unsupervised Feature Learning Towards Mechanical Big Data
2016
Real-Time Fault Detection for UAV Based on Model Acceleration Engine
2020
Stochastic modelling and analysis of degradation for highly reliable products
2014 Standout
Fault Diagnosis Method Based on Principal Component Analysis and Broad Learning System
2019 Standout
Scalable and Unsupervised Feature Engineering Using Vibration-Imaging and Deep Learning for Rotor System Diagnosis
2017
Hierarchical k-nearest neighbours classification and binary differential evolution for fault diagnostics of automotive bearings operating under variable conditions
2016
Vibration-Based Intelligent Fault Diagnosis for Roller Bearings in Low-Speed Rotating Machinery
2018
Sparse classification based on dictionary learning for planet bearing fault identification
2018
Machinery health prognostics: A systematic review from data acquisition to RUL prediction
2017 Standout
Fault diagnosis of single-phase induction motor based on acoustic signals
2018 Standout
A Novel Prognostic Approach for RUL Estimation With Evolving Joint Prediction of Continuous and Discrete States
2019
Early Fault Detection Approach With Deep Architectures
2018
Dislocated Time Series Convolutional Neural Architecture: An Intelligent Fault Diagnosis Approach for Electric Machine
2016
Multiple Wavelet Coefficients Fusion in Deep Residual Networks for Fault Diagnosis
2018
Learning from class-imbalanced data: Review of methods and applications
2016 Standout
Fault Diagnosis of Bearing Damage by Means of the Linear Discriminant Analysis of Stator Current Features From the Frequency Selection
2016
Early fault diagnosis of bearing and stator faults of the single-phase induction motor using acoustic signals
2017 Standout
Intelligent rotating machinery fault diagnosis based on deep learning using data augmentation
2018
A deep convolutional neural network with new training methods for bearing fault diagnosis under noisy environment and different working load
2017 Standout
Statistical Spectral Analysis for Fault Diagnosis of Rotating Machines
2017
Intelligent fault diagnosis of rolling bearings based on normalized CNN considering data imbalance and variable working conditions
2020 Standout
Reliable Fault Diagnosis for Low-Speed Bearings Using Individually Trained Support Vector Machines With Kernel Discriminative Feature Analysis
2014
Deep learning and its applications to machine health monitoring
2018 Standout
A New Convolutional Neural Network-Based Data-Driven Fault Diagnosis Method
2017 Standout
Multiscale Convolutional Neural Networks for Fault Diagnosis of Wind Turbine Gearbox
2018 Standout
Bearing fault diagnosis of a permanent magnet synchronous motor via a fast and online order analysis method in an embedded system
2017
Bearing Fault Diagnosis Based on Domain Adaptation Using Transferable Features under Different Working Conditions
2018
Applications of machine learning to machine fault diagnosis: A review and roadmap
2020 Standout
SMOTE for Learning from Imbalanced Data: Progress and Challenges, Marking the 15-year Anniversary
2018 Standout
Fault Diagnosis for Rotating Machinery Using Multiple Sensors and Convolutional Neural Networks
2017 Standout
Rotor-Current-Based Fault Diagnosis for DFIG Wind Turbine Drivetrain Gearboxes Using Frequency Analysis and a Deep Classifier
2017
Two-stage feature selection for bearing fault diagnosis based on dual-tree complex wavelet transform and empirical mode decomposition
2015
A Hybrid Prognostics Approach for Estimating Remaining Useful Life of Rolling Element Bearings
2018 Standout
Feature Trend Extraction and Adaptive Density Peaks Search for Intelligent Fault Diagnosis of Machines
2018
Compressive Sampling and Feature Ranking Framework for Bearing Fault Classification With Vibration Signals
2018
Fault Diagnosis for Rotating Machinery Using Vibration Measurement Deep Statistical Feature Learning
2016
A New Deep Transfer Learning Based on Sparse Auto-Encoder for Fault Diagnosis
2017 Standout
Enhanced Sparse Period-Group Lasso for Bearing Fault Diagnosis
2018
Switching State-Space Degradation Model With Recursive Filter/Smoother for Prognostics of Remaining Useful Life
2018
The Role of AI, Machine Learning, and Big Data in Digital Twinning: A Systematic Literature Review, Challenges, and Opportunities
2021 Standout
Early Fault Detection of Machine Tools Based on Deep Learning and Dynamic Identification
2018
Fault Diagnosis for a Wind Turbine Generator Bearing via Sparse Representation and Shift-Invariant K-SVD
2017
Low Complexity Motor Current Signature Analysis Using Sub-Nyquist Strategy With Reduced Data Length
2017
Highly Accurate Machine Fault Diagnosis Using Deep Transfer Learning
2018
An Enhancement Deep Feature Extraction Method for Bearing Fault Diagnosis Based on Kernel Function and Autoencoder
2018
Economic indicators and bioenergy supply in developed economies: QROF-DEMATEL and random forest models
2021 Standout
An Enhanced Intelligent Diagnosis Method Based on Multi-Sensor Image Fusion via Improved Deep Learning Network
2019 Standout
A robust intelligent fault diagnosis method for rolling element bearings based on deep distance metric learning
2018
Deep learning-based remaining useful life estimation of bearings using multi-scale feature extraction
2018
Works of Xiaohang Jin being referenced
MD‐based approaches for system health monitoring: a review
2017
Anomaly Detection and Fault Prognosis for Bearings
2016
Health Monitoring of Cooling Fans Based on Mahalanobis Distance With mRMR Feature Selection
2012
A Two-Stage Data-Driven-Based Prognostic Approach for Bearing Degradation Problem
2016
Joint Label Consistent Dictionary Learning and Adaptive Label Prediction for Semisupervised Machine Fault Classification
2015
Fault diagnosis of rolling element bearings via discriminative subspace learning: Visualization and classification
2013
Anomaly detection of cooling fan and fault classification of induction motor using Mahalanobis–Taguchi system
2013
Drivetrain Gearbox Fault Diagnosis: Vibration- and Current-Based Approaches
2018
Quantitative Evaluation of Wind Turbine Faults Under Variable Operational Conditions
2016
Weighted local and global regressive mapping: A new manifold learning method for machine fault classification
2014
Fault Detection for Rolling-Element Bearings Using Multivariate Statistical Process Control Methods
2018
Motor Bearing Fault Diagnosis Using Trace Ratio Linear Discriminant Analysis
2013