Fei Jiang

According to our database, Fei Jiang authored at least 9 papers between 2022 and 2025.

Collaborative distances:

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

2025

MTSNN: A Few-Shot Fine-Grained Diagnosis Framework for Cross-Machine Fault Diagnosis With Heterogeneous Fault Categories.

Jipu Li, Ke Yue, Zhaoqian Wu, Fei Jiang, Zhi Zhong, Shaohui Zhang, Weihua Li

IEEE Trans. Instrum. Meas., 2025

2024

Graph Mutual Mapping Transfer Networks for Machine Fault Diagnosis.

Zhaoqian Wu, Haolun Chen, Jie Han, Shaohui Zhang, Jinglun Liang, Fei Jiang

IEEE Trans. Ind. Informatics, January, 2024

A Novel Unsupervised Deep Transfer Learning Method With Isolation Forest for Machine Fault Diagnosis.

Jinglun Liang, Qin Liang, Zhaoqian Wu, Haolun Chen, Shaohui Zhang, Fei Jiang

IEEE Trans. Ind. Informatics, January, 2024

Domain Straight Mapping Method for Fault Classification Based on Drive End Signal.

Shaohui Zhang, Jie Han, Yicong Kuang, Weiqi Lin, Fei Jiang, Zhaoqian Wu

IEEE Trans. Instrum. Meas., 2024

A zero-cost unsupervised transfer method based on non-vibration signals fusion for ball screw fault diagnosis.

Fei Jiang, Qin Liang, Zhaoqian Wu, Yicong Kuang, Shaohui Zhang, Jinglun Liang

Knowl. Based Syst., 2024

Weighted distributed compressed sensing: An efficient gear transmission system fault feature extraction approach for ultra-low compression signals.

Zhongze Liu, Yicong Kuang, Fei Jiang, Yue Zhang, Huibin Lin, Kang Ding

Adv. Eng. Informatics, 2024

Fault diagnosis of gearbox driven by vibration response mechanism and enhanced unsupervised domain adaptation.

Fei Jiang, Weiqi Lin, Zhaoqian Wu, Shaohui Zhang, Zhuyun Chen, Weihua Li

Adv. Eng. Informatics, 2024

2023

A Novel Dual Attention Convolutional Neural Network Based on Multisensory Frequency Features for Unmanned Aerial Vehicle Rotor Fault Diagnosis.

Fei Jiang, Feifei Yu, Du Canyi, Yicong Kuang, Zhaoqian Wu, Kang Ding, Guolin He

IEEE Access, 2023

2022

Dual-Attention-Based Multiscale Convolutional Neural Network With Stage Division for Remaining Useful Life Prediction of Rolling Bearings.

Fei Jiang, Kang Ding, Guolin He, Huibin Lin, Zhuyun Chen, Weihua Li

IEEE Trans. Instrum. Meas., 2022