Xiang Li
Orcid: 0000-0003-0569-2176Affiliations:
- Xi'an Jiaotong University, Key Laboratory of Education Ministry for Modern Design and Rotor-Bearing System, China
- Northeastern University, College of Sciences, Shenyang, China (former)
- Tianjin University, China (PhD 2017)
According to our database1,
Xiang Li
authored at least 40 papers
between 2014 and 2024.
Collaborative distances:
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Bibliography
2024
An Optimal-Subdomain Generalization Method for Remaining Useful Life Prediction of Machinery Under Time-Varying Operation Conditions.
IEEE Trans. Ind. Informatics, April, 2024
Label Recovery and Trajectory Designable Network for Transfer Fault Diagnosis of Machines With Incorrect Annotation.
IEEE CAA J. Autom. Sinica, April, 2024
Dynamic Vision Enabled Contactless Cross-Domain Machine Fault Diagnosis with Neuromorphic Computing.
IEEE CAA J. Autom. Sinica, March, 2024
IEEE Trans. Ind. Informatics, January, 2024
2023
Deep Targeted Transfer Learning Along Designable Adaptation Trajectory for Fault Diagnosis Across Different Machines.
IEEE Trans. Ind. Electron., September, 2023
Blockchain-based decentralized federated transfer learning methodology for collaborative machinery fault diagnosis.
Reliab. Eng. Syst. Saf., 2023
Remaining Useful Life Prediction With Partial Sensor Malfunctions Using Deep Adversarial Networks.
IEEE CAA J. Autom. Sinica, 2023
Non-Contact Machine Vibration Sensing and Fault Diagnosis Method Based on Event Camera.
Proceedings of the CAA Symposium on Fault Detection, 2023
A Robust Wavelet-integrated Residual Network for Fault Diagnosis of Machines with Adversarial Training.
Proceedings of the IEEE/ASME International Conference on Advanced Intelligent Mechatronics, 2023
2022
Degradation Alignment in Remaining Useful Life Prediction Using Deep Cycle-Consistent Learning.
IEEE Trans. Neural Networks Learn. Syst., 2022
A Novel Transfer Learning Approach in Remaining Useful Life Prediction for Incomplete Dataset.
IEEE Trans. Instrum. Meas., 2022
2021
Evaluating Feature Selection and Anomaly Detection Methods of Hard Drive Failure Prediction.
IEEE Trans. Reliab., 2021
Intelligent Diagnostics for Ball Screw Fault Through Indirect Sensing Using Deep Domain Adaptation.
IEEE Trans. Instrum. Meas., 2021
Open-Set Domain Adaptation in Machinery Fault Diagnostics Using Instance-Level Weighted Adversarial Learning.
IEEE Trans. Ind. Informatics, 2021
Universal Domain Adaptation in Fault Diagnostics With Hybrid Weighted Deep Adversarial Learning.
IEEE Trans. Ind. Informatics, 2021
Deep Learning-Based Partial Domain Adaptation Method on Intelligent Machinery Fault Diagnostics.
IEEE Trans. Ind. Electron., 2021
Transfer learning using deep representation regularization in remaining useful life prediction across operating conditions.
Reliab. Eng. Syst. Saf., 2021
Federated learning for machinery fault diagnosis with dynamic validation and self-supervision.
Knowl. Based Syst., 2021
Proceedings of the CODASPY '21: Eleventh ACM Conference on Data and Application Security and Privacy, 2021
2020
Diagnosing Rotating Machines With Weakly Supervised Data Using Deep Transfer Learning.
IEEE Trans. Ind. Informatics, 2020
Deep Learning-Based Machinery Fault Diagnostics With Domain Adaptation Across Sensors at Different Places.
IEEE Trans. Ind. Electron., 2020
Partial transfer learning in machinery cross-domain fault diagnostics using class-weighted adversarial networks.
Neural Networks, 2020
Data alignments in machinery remaining useful life prediction using deep adversarial neural networks.
Knowl. Based Syst., 2020
Deep learning-based unsupervised representation clustering methodology for automatic nuclear reactor operating transient identification.
Knowl. Based Syst., 2020
Intelligent rotating machinery fault diagnosis based on deep learning using data augmentation.
J. Intell. Manuf., 2020
J. Intell. Manuf., 2020
Domain generalization in rotating machinery fault diagnostics using deep neural networks.
Neurocomputing, 2020
Intelligent cross-machine fault diagnosis approach with deep auto-encoder and domain adaptation.
Neurocomputing, 2020
A virtual metrology method with prediction uncertainty based on Gaussian process for chemical mechanical planarization.
Comput. Ind., 2020
Fault Diagnosis Based on Non-Negative Sparse Constrained Deep Neural Networks and Dempster-Shafer Theory.
IEEE Access, 2020
2019
Cross-Domain Fault Diagnosis of Rolling Element Bearings Using Deep Generative Neural Networks.
IEEE Trans. Ind. Electron., 2019
Analysis, Design, and Implementation of Accurate ZVS Angle Control for EV Battery Charging in Wireless High-Power Transfer.
IEEE Trans. Ind. Electron., 2019
Signal Process., 2019
Understanding and improving deep learning-based rolling bearing fault diagnosis with attention mechanism.
Signal Process., 2019
Deep learning-based remaining useful life estimation of bearings using multi-scale feature extraction.
Reliab. Eng. Syst. Saf., 2019
J. Intell. Transp. Syst., 2019
2018
IEEE Trans. Intell. Transp. Syst., 2018
Remaining useful life estimation in prognostics using deep convolution neural networks.
Reliab. Eng. Syst. Saf., 2018
A robust intelligent fault diagnosis method for rolling element bearings based on deep distance metric learning.
Neurocomputing, 2018
2014
Commun. Nonlinear Sci. Numer. Simul., 2014