Jingsong Xie
Orcid: 0000-0001-7280-3556
According to our database1,
Jingsong Xie
authored at least 29 papers
between 2001 and 2025.
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Bibliography
2025
Generating HSR Bogie Vibration Signals via Pulse Voltage-Guided Conditional Diffusion Model.
IEEE Trans. Intell. Transp. Syst., January, 2025
Uncertainty Estimation Pseudo-Label-Guided Source-Free Domain Adaptation for Cross-Domain Remaining Useful Life Prediction in IIoT.
IEEE Internet Things J., 2025
2024
Integrating Misidentification and OOD Detection for Reliable Fault Diagnosis of High-Speed Train Bogie.
IEEE Trans. Intell. Transp. Syst., September, 2024
Two-Phase Dual-Adversarial Agents With Multivariate Information for Unsupervised Anomaly Detection of IIoT-Edge Devices.
IEEE Internet Things J., July, 2024
Graph-Based Model Compression for HSR Bogies Fault Diagnosis at IoT Edge via Adversarial Knowledge Distillation.
IEEE Trans. Intell. Transp. Syst., February, 2024
A Simulated-to-Real Transfer Fault Diagnosis Method Based on Prototype Clustering Subdomain Adversarial Adaptation Network for HST Bogie Bearing.
IEEE Trans. Instrum. Meas., 2024
A Lightweight Dual-Compression Fault Diagnosis Framework for High-Speed Train Bogie Bearing.
IEEE Trans. Instrum. Meas., 2024
A Deep Transfer Learning-Based Open Scenario Diagnostic Framework for Rail Damage Using Ultrasound Guided Waves.
IEEE Trans. Instrum. Meas., 2024
A synchronization-induced cross-modal contrastive learning strategy for fault diagnosis of electromechanical systems under semi-supervised learning with current signal.
Expert Syst. Appl., 2024
Generative artificial intelligence and data augmentation for prognostic and health management: Taxonomy, progress, and prospects.
Expert Syst. Appl., 2024
2023
Multi-Information Fusion Fault Diagnosis of Bogie Bearing Under Small Samples via Unsupervised Representation Alignment Deep Q-Learning.
IEEE Trans. Instrum. Meas., 2023
Deep Adversarial Hybrid Domain-Adaptation Network for Varying Working Conditions Fault Diagnosis of High-Speed Train Bogie.
IEEE Trans. Instrum. Meas., 2023
A Feature Fusion-Based Method for Remaining Useful Life Prediction of Rolling Bearings.
IEEE Trans. Instrum. Meas., 2023
Multi-Feature Fusion and Reinforcement Model for High-Speed Train Axle Box Bearing Fault Diagnosis Under Variable Speed Domain.
Proceedings of the International Conference on Neural Computing for Advanced Applications, 2023
2022
Depth Prototype Clustering Method Based on Unsupervised Field Alignment for Bearing Fault Identification of Mechanical Equipment.
IEEE Trans. Instrum. Meas., 2022
Remaining Useful Life Prediction Method for Bearings Based on LSTM with Uncertainty Quantification.
Sensors, 2022
An Outlier Cleaning Based Adaptive Recognition Method for Degradation Stage of Bearings.
Sensors, 2022
Meta-learning as a promising approach for few-shot cross-domain fault diagnosis: Algorithms, applications, and prospects.
Knowl. Based Syst., 2022
High-temperature augmented neighborhood metric learning for cross-domain fault diagnosis with imbalanced data.
Knowl. Based Syst., 2022
2021
SASLN: Signals Augmented Self-Taught Learning Networks for Mechanical Fault Diagnosis Under Small Sample Condition.
IEEE Trans. Instrum. Meas., 2021
IEEE Trans. Instrum. Meas., 2021
A Novel Bearing Fault Classification Method Based on XGBoost: The Fusion of Deep Learning-Based Features and Empirical Features.
IEEE Trans. Instrum. Meas., 2021
Deep Feature Generating Network: A New Method for Intelligent Fault Detection of Mechanical Systems Under Class Imbalance.
IEEE Trans. Ind. Informatics, 2021
2020
Adaptive stochastic-filter-based failure prediction model for complex repairable systems under uncertainty conditions.
Reliab. Eng. Syst. Saf., 2020
Regularized Cubic B-Spline Collocation Method With Modified L-Curve Criterion for Impact Force Identification.
IEEE Access, 2020
2004
IEEE Trans. Reliab., 2004
2001
Microelectron. Reliab., 2001