Xiangwei Kong

Source separation based on nonnegative matrix factorization and independent component correlation algorithm

Jing Zhao, Tianshe Yang, Jing Zhao, 2015, 2015 8th International Congress on Image and Signal Processing (CISP).

A Novel Adversarial One-Shot Cross-Domain Network for Machinery Fault Diagnosis With Limited Source Data

Xiangwei Kong, Jiqiang Zhang, Liu Cheng, 2022, IEEE Transactions on Instrumentation and Measurement.

Network Intrusion Detection Based on Deep Learning

Zhongjie Wang, Wang Peng, Xiaoya Li, 2019, 2019 International Conference on Communications, Information System and Computer Engineering (CISCE).

A Novel Framework for Early Pitting Fault Diagnosis of Rotating Machinery Based on Dilated CNN Combined With Spatial Dropout

Xueyi Li, Zhiyong Hu, Cheng Shi, 2021, IEEE Access.

Attention Recurrent Autoencoder Hybrid Model for Early Fault Diagnosis of Rotating Machinery

Xueyi Li, Zhiyong Hu, Cheng Shi, 2021, IEEE Transactions on Instrumentation and Measurement.

Fault diagnosis of bearings based on deep separable convolutional neural network and spatial dropout

Zhiyong Hu, Xiangwei Kong, Xueyi Li, 2022, Chinese Journal of Aeronautics.

A deep feature extraction approach for bearing fault diagnosis based on multi-scale convolutional autoencoder and generative adversarial networks

Zhiyong Hu, Xiangwei Kong, Liu Cheng, 2022, Measurement Science and Technology.

A study on fault diagnosis of bearing pitting under different speed condition based on an improved inception capsule network

Xueyi Li, Xiangwei Kong, Jiqiang Zhang, 2021 .

S3M: Two-Stage-Based Semi-Self-Supervised Method for Intelligent Bearing Fault Diagnosis

Xiangwei Kong, Haochen Qi, Jiqiang Zhang, 2023, IEEE Transactions on Instrumentation and Measurement.