Xin Wang

发表

Remaining Useful Life Prediction of Rolling Element Bearings Based on Hybrid Drive of Data and Model

Huaqing Wang, Lingli Cui, Xin Wang, 2022, IEEE Sensors Journal.

A knowledge dynamic matching unit-guided multi-source domain adaptation network with attention mechanism for rolling bearing fault diagnosis

Hongkai Jiang, Zhenghong Wu, Hongxuan Zhu, 2023, Mechanical Systems and Signal Processing.

Research on Remaining Useful Life Prediction of Rolling Element Bearings Based on Time-Varying Kalman Filter

Jianfeng Ma, Xin Wang, Huaqing Wang, 2020, IEEE Transactions on Instrumentation and Measurement.

Remaining useful life prediction of rolling element bearings based on simulated performance degradation dictionary

Hong Jiang, Lingli Cui, Huaqing Wang, 2020, Mechanism and Machine Theory.

Data-augmented patch variational autoencoding generative adversarial networks for rolling bearing fault diagnosis

Hongkai Jiang, Yunpeng Liu, Xin Wang, 2023, Measurement Science and Technology.

A generalized health indicator for performance degradation assessment of rolling element bearings based on graph spectrum reconstruction and spectrum characterization

Lingli Cui, Hong Jiang, Xin Wang, 2021 .

Intelligent fault diagnosis of rolling bearing based on a deep transfer learning network

Hongkai Jiang, Zhenghong Wu, Haidong Shao, 2023, International Conference on Prognostics and Health Management.

Spectrum-Based, Full-Band Preprocessing, and Two-Dimensional Separation of Bearing and Gear Compound Faults Diagnosis

Lingli Cui, Xin Wang, Yin Sun, 2021, IEEE Transactions on Instrumentation and Measurement.

A dynamic spectrum loss generative adversarial network for intelligent fault diagnosis with imbalanced data

Shaowei Liu, Hongkai Jiang, Yunpeng Liu, 2023, Engineering Applications of Artificial Intelligence.

Comprehensive Remaining Useful Life Prediction for Rolling Element Bearings Based on Time-Varying Particle Filtering

Huaqing Wang, Lingli Cui, Dezun Zhao, 2022, IEEE Transactions on Instrumentation and Measurement.

Adaptive variational autoencoding generative adversarial networks for rolling bearing fault diagnosis

Hongkai Jiang, Zhenghong Wu, Xin Wang, 2023, Adv. Eng. Informatics.

Imbalanced fault diagnosis of rolling bearing using a deep gradient improved generative adversarial network

Shaowei Liu, Hongkai Jiang, Zhenghong Wu, 2022, 2022 IEEE International Conference on Prognostics and Health Management (ICPHM).