Citation Impact
Citing Papers
Deepfake detection using deep learning methods: A systematic and comprehensive review
2023 Standout
A review of uncertainty quantification in deep learning: Techniques, applications and challenges
2021 Standout
Intelligent cross-machine fault diagnosis approach with deep auto-encoder and domain adaptation
2019
Federated learning for machinery fault diagnosis with dynamic validation and self-supervision
2020
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
A New Online Detection Approach for Rolling Bearing Incipient Fault via Self-Adaptive Deep Feature Matching
2019
Intelligent Fault Diagnosis Under Varying Working Conditions Based on Domain Adaptive Convolutional Neural Networks
2018
Modeling and Planning Under Uncertainty Using Deep Neural Networks
2019
Cross-Domain Fault Diagnosis Using Knowledge Transfer Strategy: A Review
2019
Understanding and improving deep learning-based rolling bearing fault diagnosis with attention mechanism
2019
Online Fault Diagnosis Method Based on Transfer Convolutional Neural Networks
2019
Review of digital twin about concepts, technologies, and industrial applications
2020 Standout
Unsupervised Adversarial Adaptation Network for Intelligent Fault Diagnosis
2019
A novel transfer learning method for robust fault diagnosis of rotating machines under variable working conditions
2019
Deep Learning Algorithms for Bearing Fault Diagnostics—A Comprehensive Review
2020
Robust Detection of Bearing Early Fault Based on Deep Transfer Learning
2020
A Review of Artificial Intelligence Algorithms Used for Smart Machine Tools
2018
An intelligent fault diagnosis approach based on transfer learning from laboratory bearings to locomotive bearings
2019 Standout
Machine Learning and Deep Learning in smart manufacturing: The Smart Grid paradigm
2021 Standout
An adaptive deep transfer learning method for bearing fault diagnosis
2019
Machine Learning in Predictive Maintenance towards Sustainable Smart Manufacturing in Industry 4.0
2020 Standout
Deep Convolutional Transfer Learning Network: A New Method for Intelligent Fault Diagnosis of Machines With Unlabeled Data
2018
A neural network constructed by deep learning technique and its application to intelligent fault diagnosis of machines
2017
1D convolutional neural networks and applications: A survey
2022 Standout
A review of vibration-based damage detection in civil structures: From traditional methods to Machine Learning and Deep Learning applications
2020 Standout
Online detection for bearing incipient fault based on deep transfer learning
2019
Digital Twin: Enabling Technologies, Challenges and Open Research
2020 Standout
Fault diagnosis of single-phase induction motor based on acoustic signals
2018 Standout
A deep convolutional neural network with new training methods for bearing fault diagnosis under noisy environment and different working load
2017 Standout
Intelligent fault diagnosis of rolling bearings based on normalized CNN considering data imbalance and variable working conditions
2020 Standout
Deep learning and its applications to machine health monitoring
2018 Standout
Digital twin paradigm: A systematic literature review
2021 Standout
A New Convolutional Neural Network-Based Data-Driven Fault Diagnosis Method
2017 Standout
Deep balanced domain adaptation neural networks for fault diagnosis of planetary gearboxes with limited labeled data
2020
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
An Effective Federated Learning Verification Strategy and Its Applications for Fault Diagnosis in Industrial IoT Systems
2022 Standout
A Hybrid Prognostics Approach for Estimating Remaining Useful Life of Rolling Element Bearings
2018 Standout
A Digital-Twin-Assisted Fault Diagnosis Using Deep Transfer Learning
2019
Intelligent Fault Diagnosis for Rotary Machinery Using Transferable Convolutional Neural Network
2019
A New Deep Transfer Learning Based on Sparse Auto-Encoder for Fault Diagnosis
2017 Standout
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
Transfer learning enabled convolutional neural networks for estimating health state of cutting tools
2021
An Enhanced Intelligent Diagnosis Method Based on Multi-Sensor Image Fusion via Improved Deep Learning Network
2019 Standout
Works of Deshan Meng being referenced
Deep Model Based Domain Adaptation for Fault Diagnosis
2016
Early Fault Detection Approach With Deep Architectures
2018