Xuefang Xu

21 papers C 1Journal 19Unranked 1
YearRankTypeTitle / Venue / Authors
2026 J jnl
A confident cross-domain mixup-based network with dynamic label-distribution-aware margin regularization for bearing fault diagnosis under variable working conditions.
Eng. Appl. Artif. Intell.
Changbo He, Zengyang Fu, Peng Chen, Xuefang Xu, Alessandro Paolo Daga, Siliang Lu
2026 J jnl
A generative dual-input model based on architectural computational optimization and multi-attention mechanism for remaining useful life prediction.
Reliab. Eng. Syst. Saf.
Peiming Shi, Tiejun Jia, Xuefang Xu, Dongying Han
2026 J jnl
An improved lightweight residual network model deployed on the edge device for the unsupervised cross-domain fault diagnosis.
Expert Syst. Appl.
Changbo He, Qi Meng, Xuefang Xu, Peng Chen, Pengfei Liang, Jiahui Cao
2026 J jnl
Debiased prototype network with relaxed contrastive distillation strategy for rotating machinery few-shot domain incremental fault diagnosis.
Knowl. Based Syst.
Yu Zhang, Dongying Han, Xuefang Xu, Peiming Shi
2025 J jnl
A small-sample cross-domain bearing fault diagnosis method based on knowledge-enhanced domain adversarial learning.
Neurocomputing
Peiming Shi, Yan Zhao, Xuefang Xu, Dongying Han
2025 J jnl
KMDSAN: A novel method for cross-domain and unsupervised bearing fault diagnosis.
Knowl. Based Syst.
Shuping Wu, Peiming Shi, Xuefang Xu, Xu Yang, Ruixiong Li, Zijian Qiao
2025 J jnl
Physically interpretable Stockwell weight initialization and adaptive fusion average threshold for intelligent fault diagnosis of rolling bearing under noisy environment.
Eng. Appl. Artif. Intell.
Lijie Zhang, Junhui Hu, Pengfei Liang, Xuefang Xu, Guoqiang Li, Zhongliang Xie, Suiyan Wang
2025 J jnl
Simulated Data-Assisted Fault Diagnosis Framework With Dual-Path Feature Fusion for Rolling Element Bearings Under Incomplete Data.
IEEE Trans. Instrum. Meas.
Xuefang Xu, Xiaofeng Ou, Liang Ge, Zijian Qiao, Peiming Shi
2024 J jnl
A broad learning model guided by global and local receptive causal features for online incremental machinery fault diagnosis.
Expert Syst. Appl.
Xuefang Xu, Shuo Bao, Pengfei Liang, Zijian Qiao, Changbo He, Peiming Shi
2024 J jnl
A multi-sensor fused incremental broad learning with D-S theory for online fault diagnosis of rotating machinery.
Adv. Eng. Informatics
Xuefang Xu, Shuo Bao, Haidong Shao, Peiming Shi
2024 J jnl
Adversarial Domain Adaptation Model Based on LDTW for Extreme Partial Transfer Fault Diagnosis of Rotating Machines.
IEEE Trans. Instrum. Meas.
Xuefang Xu, Xu Yang, Changbo He, Peiming Shi, Changchun Hua
2024 J jnl
Incremental forecaster using C-C algorithm to phase space reconstruction and broad learning network for short-term wind speed prediction.
Eng. Appl. Artif. Intell.
Shiting Hu, Xuefang Xu, Mengdi Li, Peiming Shi, Ruixiong Li, Shuying Wang
2024 J jnl
Multi-source domain adaptation using diffusion denoising for bearing fault diagnosis under variable working conditions.
Knowl. Based Syst.
Xuefang Xu, Xu Yang, Zijian Qiao, Pengfei Liang, Changbo He, Peiming Shi
2024 J jnl
Rolling mill fault diagnosis under limited datasets.
Knowl. Based Syst.
Junjie He, Peiming Shi, Xuefang Xu, Dongying Han
2024 J jnl
Single and simultaneous fault diagnosis of gearbox via wavelet transform and improved deep residual network under imbalanced data.
Eng. Appl. Artif. Intell.
Suiyan Wang, Jiaye Tian, Pengfei Liang, Xuefang Xu, Zhuoze Yu, Siyuan Liu, Delong Zhang
2023 J jnl
An Intelligent Fault Diagnosis Method Enhanced by Noise Injection for Machinery.
IEEE Trans. Instrum. Meas.
Changpu Yang, Zijian Qiao, Ronghua Zhu, Xuefang Xu, Zhihui Lai, Shengtong Zhou
2023 J jnl
Fault transfer diagnosis of rolling bearings across multiple working conditions via subdomain adaptation and improved vision transformer network.
Adv. Eng. Informatics
Pengfei Liang, Zhuoze Yu, Bin Wang, Xuefang Xu, Jiaye Tian
2023 J jnl
TSN: A novel intelligent fault diagnosis method for bearing with small samples under variable working conditions.
Reliab. Eng. Syst. Saf.
Peiming Shi, Shuping Wu, Xuefang Xu, Bofei Zhang, Pengfei Liang, Zijian Qiao
2020 J jnl
An Incorrect Data Detection Method for Big Data Cleaning of Machinery Condition Monitoring.
IEEE Trans. Ind. Electron.
Xuefang Xu, Yaguo Lei, Zeda Li
2017 C conf
A dirty data recognition method for machinery condition monitoring in big data era.
IECON
Yaguo Lei, Xin Zhou, Xuefang Xu, Feng Jia
2017 — conf
Weak signal detection based on underdamped multistable stochastic resonance.
I2MTC
Yaguo Lei, Zijian Qiao, Xuefang Xu, Jing Lin