Citation Impact
Citing Papers
A Review of Metaverse’s Definitions, Architecture, Applications, Challenges, Issues, Solutions, and Future Trends
2022 Standout
Machinery fault diagnosis with imbalanced data using deep generative adversarial networks
2019
Intelligent cross-machine fault diagnosis approach with deep auto-encoder and domain adaptation
2019
Deep learning algorithms for rotating machinery intelligent diagnosis: An open source benchmark study
2020 Standout
Real-time SVD-based detection of multiple combined faults in induction motors
2014
Artificial intelligence for fault diagnosis of rotating machinery: A review
2018 Standout
A review on second-life of Li-ion batteries: prospects, challenges, and issues
2021
A Survey on Evaluation of Large Language Models
2024 Standout
Prospects for the production of green hydrogen: Review of countries with high potential
2022 Standout
A comprehensive evaluation of intelligent classifiers for fault identification in three-phase induction motors
2015
An Efficient Load Balancing Scheme of Energy Gauge Nodes to Maximize the Lifespan of Constraint Oriented Networks
2020
Real-time vibration-based structural damage detection using one-dimensional convolutional neural networks
2016 Standout
Real-Time Motor Fault Detection by 1-D Convolutional Neural Networks
2016
Deep learning for smart manufacturing: Methods and applications
2018 Standout
Generalizing to Unseen Domains: A Survey on Domain Generalization
2022
Deep Residual Shrinkage Networks for Fault Diagnosis
2019 Standout
Diagnosis of the three-phase induction motor using thermal imaging
2016 Standout
Fault diagnosis of rotary machinery components using a stacked denoising autoencoder-based health state identification
2016 Standout
A Novel Hybrid Trustworthy Decentralized Authentication and Data Preservation Model for Digital Healthcare IoT Based CPS
2022 Standout
A two-stage feature selection and intelligent fault diagnosis method for rotating machinery using hybrid filter and wrapper method
2017
A new rolling bearing fault diagnosis method based on multiscale permutation entropy and improved support vector machine based binary tree
2015
Machine Learning and Deep Learning in smart manufacturing: The Smart Grid paradigm
2021 Standout
Remaining useful life estimation in prognostics using deep convolution neural networks
2017 Standout
1D convolutional neural networks and applications: A survey
2022 Standout
Fault Diagnosis Method Based on Principal Component Analysis and Broad Learning System
2019 Standout
A review of vibration-based damage detection in civil structures: From traditional methods to Machine Learning and Deep Learning applications
2020 Standout
Machinery health prognostics: A systematic review from data acquisition to RUL prediction
2017 Standout
Reliability estimation and remaining useful lifetime prediction for bearing based on proportional hazard model
2015
A sparse auto-encoder-based deep neural network approach for induction motor faults classification
2016
Early fault diagnosis of bearing and stator faults of the single-phase induction motor using acoustic signals
2017 Standout
Real-World Anomaly Detection by Using Digital Twin Systems and Weakly Supervised Learning
2020
Comparative investigation of vibration and current monitoring for prediction of mechanical and electrical faults in induction motor based on multiclass-support vector machine algorithms
2017
Deep learning and its applications to machine health monitoring
2018 Standout
A New Convolutional Neural Network-Based Data-Driven Fault Diagnosis Method
2017 Standout
Compound fault prediction of rolling bearing using multimedia data
2017
Multiscale Convolutional Neural Networks for Fault Diagnosis of Wind Turbine Gearbox
2018 Standout
Bearing Fault Detection by One‐Dimensional Convolutional Neural Networks
2017
Digital Twins: A Survey on Enabling Technologies, Challenges, Trends and Future Prospects
2022 Standout
Multiple-fault diagnosis in induction motors through support vector machine classification at variable operating conditions
2016
Applications of machine learning to machine fault diagnosis: A review and roadmap
2020 Standout
Fault Diagnosis for Rotating Machinery Using Multiple Sensors and Convolutional Neural Networks
2017 Standout
An Effective Federated Learning Verification Strategy and Its Applications for Fault Diagnosis in Industrial IoT Systems
2022 Standout
A summary of fault modelling and predictive health monitoring of rolling element bearings
2015
Fault diagnosis approach for rotating machinery based on dynamic model and computational intelligence
2014
A Novel Bearing Fault Diagnosis Method Based on Gaussian Restricted Boltzmann Machine
2016
A New Deep Transfer Learning Based on Sparse Auto-Encoder for Fault Diagnosis
2017 Standout
An Enhanced Intelligent Diagnosis Method Based on Multi-Sensor Image Fusion via Improved Deep Learning Network
2019 Standout
Works of Xu Li being referenced
Domain generalization in rotating machinery fault diagnostics using deep neural networks
2020
Deep learning-based prognostic approach for lithium-ion batteries with adaptive time-series prediction and on-line validation
2020
Federated learning for machinery fault diagnosis with dynamic validation and self-supervision
2020
Rolling element bearing fault detection using support vector machine with improved ant colony optimization
2013
Diagnosing Rotating Machines With Weakly Supervised Data Using Deep Transfer Learning
2019
A reliable QoS-aware routing scheme for neighbor area network in smart grid
2015