Xiang Li

发表

Blockchain-based decentralized federated transfer learning methodology for collaborative machinery fault diagnosis

Ziyue Wang, Ziwei Wang, Wei Zhang, 2022, Reliab. Eng. Syst. Saf..

Robust Inverse Framework using Knowledge-guided Self-Supervised Learning: An application to Hydrology

X. Jia, C. Duffy, A. Khandelwal, 2021, KDD.

Intelligent rotating machinery fault diagnosis based on deep learning using data augmentation

Qian Ding, Wei Zhang, Xiang Li, 2018, Journal of Intelligent Manufacturing.

Deep Residual Net-Based Prognosis Method for Lithium-ion Batteries with Information Fusion from Different Scales

Yafei Zhu, Wei Zhang, Xiang Li, 2022, 2022 Global Reliability and Prognostics and Health Management (PHM-Yantai).

Multiple-objective design optimization of squirrel cage for squeeze film damper by using cell mapping method and experimental validation

Wei Zhang, Xiang Li, Wei Zhang, 2019, Mechanism and Machine Theory.

Deep learning-based unsupervised representation clustering methodology for automatic nuclear reactor operating transient identification

Xinmin Fu, Xiaoming Bai, Fu-Rui Xiong, 2020, Knowl. Based Syst..

Federated learning for machinery fault diagnosis with dynamic validation and self-supervision

Wei Zhang, Hui Ma, Xiang Li, 2021, Knowl. Based Syst..

Machinery fault diagnosis with imbalanced data using deep generative adversarial networks

Xu Li, Wei Zhang, Xiaodong Jia, 2020 .

Interpretability of deep convolutional neural networks on rolling bearing fault diagnosis

Wei Zhang, Xiang Li, Huixin Yang, 2021, Measurement Science and Technology.

Remaining useful life estimation in prognostics using deep convolution neural networks

Xiang Li, Jian-Qiao Sun, Qian Ding, 2018, Reliab. Eng. Syst. Saf..

Data alignments in machinery remaining useful life prediction using deep adversarial neural networks

Xu Li, Wei Zhang, Hui Ma, 2020, Knowl. Based Syst..

Deep learning-based remaining useful life estimation of bearings using multi-scale feature extraction

Wei Zhang, Xiang Li, Qian Ding, 2019, Reliab. Eng. Syst. Saf..

Transfer learning using deep representation regularization in remaining useful life prediction across operating conditions

Hui Ma, Wei Zhang, Xiang Li, 2021, Reliab. Eng. Syst. Saf..

Intelligent rotating machinery fault diagnosis based on deep learning using data augmentation

Wei Zhang, Xiang Li, Jian-Qiao Sun, 2018, J. Intell. Manuf..

A consistency regularization based semi-supervised learning approach for intelligent fault diagnosis of rolling bearing

Tian Ran Lin, Hui Ma, Xiang Li, 2020 .

Deep Learning-Based Machinery Fault Diagnostics With Domain Adaptation Across Sensors at Different Places

Xiang Li, Wei Zhang, Qian Ding, 2020, IEEE Transactions on Industrial Electronics.

Deep representation clustering-based fault diagnosis method with unsupervised data applied to rotating machinery

Xu Li, Hui Ma, Xiang Li, 2020 .

Deep learning-based adversarial multi-classifier optimization for cross-domain machinery fault diagnostics

Xu Li, Wei Zhang, Hui Ma, 2020 .

Open-Set Domain Adaptation in Machinery Fault Diagnostics Using Instance-Level Weighted Adversarial Learning

Hui Ma, Wei Zhang, Xu Li, 2021, IEEE Transactions on Industrial Informatics.

Deep residual learning-based fault diagnosis method for rotating machinery.

Xiang Li, Wei Zhang, Qian Ding, 2019, ISA transactions.

Cross-Domain Fault Diagnosis of Rolling Element Bearings Using Deep Generative Neural Networks

Xiang Li, Wei Zhang, Qian Ding, 2019, IEEE Transactions on Industrial Electronics.

Federated Transfer Learning for Intelligent Fault Diagnostics Using Deep Adversarial Networks With Data Privacy

Wei Zhang, Xiang Li, Wei Zhang, 2021, IEEE/ASME Transactions on Mechatronics.

Universal Domain Adaptation in Fault Diagnostics With Hybrid Weighted Deep Adversarial Learning

Hui Ma, Wei Zhang, Xu Li, 2021, IEEE Transactions on Industrial Informatics.

Multi-Layer domain adaptation method for rolling bearing fault diagnosis

Wei Zhang, Xiang Li, Jian-Qiao Sun, 2019, Signal Process..

Intelligent fault diagnosis methodology under varying operating conditions using multi-layer domain adversarial learning strategy

Xiang Li, Nanxi Xu, Xiang Li, 2021, International Journal of Dynamics and Control.

Partial transfer learning in machinery cross-domain fault diagnostics using class-weighted adversarial networks

Wei Zhang, Zhong Luo, Hui Ma, 2020, Neural Networks.

Intelligent cross-machine fault diagnosis approach with deep auto-encoder and domain adaptation

Wei Zhang, Hui Ma, Zhong Luo, 2020, Neurocomputing.

Diagnosing Rotating Machines With Weakly Supervised Data Using Deep Transfer Learning

Xiang Li, Xu Li, Wei Zhang, 2020, IEEE Transactions on Industrial Informatics.

Cross-Domain Machinery Fault Diagnosis Using Adversarial Network with Conditional Alignments

Xiang Li, Nan-Xi Xu, Xiang Li, 2019, 2019 Prognostics and System Health Management Conference (PHM-Qingdao).

Domain generalization in rotating machinery fault diagnostics using deep neural networks

Xu Li, Xiang Li, Wei Zhang, 2020, Neurocomputing.

Understanding and improving deep learning-based rolling bearing fault diagnosis with attention mechanism

Wei Zhang, Xiang Li, Qian Ding, 2019, Signal Process..

A robust intelligent fault diagnosis method for rolling element bearings based on deep distance metric learning

Wei Zhang, Xiang Li, Qian Ding, 2018, Neurocomputing.

Deep Learning-Based Partial Domain Adaptation Method on Intelligent Machinery Fault Diagnostics

Xiang Li, Wei Zhang, Wei Zhang, 2021, IEEE Transactions on Industrial Electronics.

Deep learning-based prognostic approach for lithium-ion batteries with adaptive time-series prediction and on-line validation

Xu Li, Wei Zhang, Xiang Li, 2020 .

Data privacy preserving federated transfer learning in machinery fault diagnostics using prior distributions

Wei Zhang, Xiang Li, Wei Zhang, 2021, Structural Health Monitoring.

Degradation Alignment in Remaining Useful Life Prediction Using Deep Cycle-Consistent Learning

Xu Li, Zhong Luo, Wei Zhang, 2021, IEEE Transactions on Neural Networks and Learning Systems.

Data Amplification for Bearing Remaining Useful Life Prediction Based on Generative Adversarial Network

Juan Wen, Xiang Li, Luyao Lei, 2022, Wireless Communications and Mobile Computing.

Cross-Domain Prognostic Method of Lithium-Ion Battery in New Energy Electric Aircraft With Domain Adaptation

Wei Zhang, Xiang Li, Yewei Zhang, 2023, IEEE Sensors Journal.

A multi-stage semi-supervised learning approach for intelligent fault diagnosis of rolling bearing using data augmentation and metric learning

Xu Li, Tian Ran Lin, Kun Yu, 2021 .

Simulation data driven weakly supervised adversarial domain adaptation approach for intelligent cross-machine fault diagnosis

T. Lin, Kun Yu, Xiang Li, 2020 .

Federated transfer learning in fault diagnosis under data privacy with target self-adaptation

Xu Li, Wei Zhang, Xiang Li, 2023, Journal of Manufacturing Systems.