Xin Wang

According to our database, Xin Wang authored at least 11 papers between 2022 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2025

A dynamic collaborative adversarial domain adaptation network for unsupervised rotating machinery fault diagnosis.

Xin Wang, Hongkai Jiang, Mingzhe Mu, Yutong Dong

Reliab. Eng. Syst. Saf., 2025

A novel reinforcement learning agent for rotating machinery fault diagnosis with data augmentation.

Zhenning Li, Hongkai Jiang, Xin Wang

Reliab. Eng. Syst. Saf., 2025

An interpretable integration fusion time-frequency prototype contrastive learning for machine fault diagnosis with limited labeled samples.

Yutong Dong, Hongkai Jiang, Xin Wang, Mingzhe Mu

Inf. Fusion, 2025

Adaptive model-agnostic meta-learning network for cross-machine fault diagnosis with limited samples.

Mingzhe Mu, Hongkai Jiang, Xin Wang, Yutong Dong

Eng. Appl. Artif. Intell., 2025

2024

An interpretable multiscale lifting wavelet contrast network for planetary gearbox fault diagnosis with small samples.

Yutong Dong, Hongkai Jiang, Xin Wang, Mingzhe Mu, Wenxin Jiang

Reliab. Eng. Syst. Saf., 2024

A task-oriented theil index-based meta-learning network with gradient calibration strategy for rotating machinery fault diagnosis with limited samples.

Mingzhe Mu, Hongkai Jiang, Xin Wang, Yutong Dong

Adv. Eng. Informatics, 2024

Multi-sensor data fusion-enabled lightweight convolutional double regularization contrast transformer for aerospace bearing small samples fault diagnosis.

Yutong Dong, Hongkai Jiang, Mingzhe Mu, Xin Wang

Adv. Eng. Informatics, 2024

2023

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

Xin Wang, Hongkai Jiang, Yunpeng Liu, Shaowei Liu, Qiao Yang

Eng. Appl. Artif. Intell., November, 2023

Adaptive variational autoencoding generative adversarial networks for rolling bearing fault diagnosis.

Xin Wang, Hongkai Jiang, Zhenghong Wu, Qiao Yang

Adv. Eng. Informatics, April, 2023

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

Zhenghong Wu, Hongkai Jiang, Sicheng Zhang, Xin Wang, Haidong Shao, Haoxuan Dou

Proceedings of the IEEE International Conference on Prognostics and Health Management, 2023

2022

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

Shaowei Liu, Hongkai Jiang, Zhenghong Wu, Ke Zhao, Xin Wang

Proceedings of the 2022 IEEE International Conference on Prognostics and Health Management, 2022