Rui Liu

According to our database, Rui Liu authored at least 11 papers between 2022 and 2026.

Collaborative distances:

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

2026

Attention-throughout: a latent diffusion approach for single domain generalization in machinery fault diagnosis.

Yifan Wu, Chuan Li, Rui Liu, Dandan Zhao, Min Xia

Adv. Eng. Informatics, 2026

2025

Maximum Synchronous Average Margin Deconvolution for Bearing Incipient Fault Diagnosis.

Rui Liu, Shenglan Liu, Chaokai Cui, Xiaoxi Ding, Yimin Shao, Min Xia

IEEE Trans. Instrum. Meas., 2025

Knowledge-informed FIR-based cross-category filtering framework for interpretable machinery fault diagnosis under small samples.

Rui Liu, Xiaoxi Ding, Shenglan Liu, Hebin Zheng, Yuanyaun Xu, Yimin Shao

Reliab. Eng. Syst. Saf., 2025

Knowledge-informed multiplication convolution generalization network for interpretable equipment diagnosis under unknown speed domains.

Rui Liu, Xiaoxi Ding, Benyuan Ye, Yuanyuan Xu, Jiahai Huang, Hongyu Lv

Appl. Soft Comput., 2025

2024

An Interpretable Multiplication-Convolution Network for Equipment Intelligent Edge Diagnosis.

Rui Liu, Xiaoxi Ding, Qihang Wu, Qingbo He, Yimin Shao

IEEE Trans. Syst. Man Cybern. Syst., June, 2024

HmmSeNet: A Novel Single Domain Generalization Equipment Fault Diagnosis Under Unknown Working Speed Using Histogram Matching Mixup.

Jian Tang, Xiaoxi Ding, Chao Wei, Jiawei Xiao, Rui Liu, Liming Wang, Wenbin Huang

IEEE Trans. Ind. Informatics, May, 2024

An interpretable multiplication-convolution residual network for equipment fault diagnosis via time-frequency filtering.

Rui Liu, Xiaoxi Ding, Yimin Shao, Wenbin Huang

Adv. Eng. Informatics, 2024

Prior-knowledge-guided mode filtering network for interpretable equipment intelligent diagnosis under varying speed conditions.

Rui Liu, Xiaoxi Ding, Yimin Shao

Adv. Eng. Informatics, 2024

2023

An Interpretable Multiplication-Convolution Sparse Network for Equipment Intelligent Diagnosis in Antialiasing and Regularization Constraint.

Qihang Wu, Xiaoxi Ding, Linhua Zhao, Rui Liu, Qingbo He, Yimin Shao

IEEE Trans. Instrum. Meas., 2023

Sinc-Based Multiplication-Convolution Network for Small-Sample Fault Diagnosis and Edge Application.

Rui Liu, Xiaoxi Ding, Shenglan Liu, Qihang Wu, Yimin Shao

IEEE Trans. Instrum. Meas., 2023

2022

ConditionSenseNet: A Deep Interpolatory ConvNet for Bearing Intelligent Diagnosis Under Variational Working Conditions.

Yinjun Wang, Xiaoxi Ding, Rui Liu, Yimin Shao

IEEE Trans. Ind. Informatics, 2022