Weak signal detection based on underdamped multistable stochastic resonance. - Yaguo Lei; Zijian Qiao; Xuefang Xu; Jing Lin 001 (I2MTC, 2017)

A dirty data recognition method for machinery condition monitoring in big data era. - Yaguo Lei; Xin Zhou; Xuefang Xu; Feng Jia (IECON, 2017)

An Incorrect Data Detection Method for Big Data Cleaning of Machinery Condition Monitoring. - Xuefang Xu; Yaguo Lei; Zeda Li (IEEE Trans. Ind. Electron., 2020)

An Intelligent Fault Diagnosis Method Enhanced by Noise Injection for Machinery. - Changpu Yang; Zijian Qiao; Ronghua Zhu; Xuefang Xu; Zhihui Lai 002; Shengtong Zhou (IEEE Trans. Instrum. Meas., 2023)

Fault transfer diagnosis of rolling bearings across multiple working conditions via subdomain adaptation and improved vision transformer network. - Pengfei Liang; Zhuoze Yu; Bin Wang; Xuefang Xu; Jiaye Tian (Adv. Eng. Informatics, 2023)

TSN: A novel intelligent fault diagnosis method for bearing with small samples under variable working conditions. - Peiming Shi; Shuping Wu; Xuefang Xu; Bofei Zhang; Pengfei Liang; Zijian Qiao (Reliab. Eng. Syst. Saf., 2023)

A multi-sensor fused incremental broad learning with D-S theory for online fault diagnosis of rotating machinery. - Xuefang Xu; Shuo Bao; Haidong Shao; Peiming Shi (Adv. Eng. Informatics, 2024)

Incremental forecaster using C-C algorithm to phase space reconstruction and broad learning network for short-term wind speed prediction. - Shiting Hu; Xuefang Xu; Mengdi Li; Peiming Shi; Ruixiong Li; Shuying Wang (Eng. Appl. Artif. Intell., 2024)

Single and simultaneous fault diagnosis of gearbox via wavelet transform and improved deep residual network under imbalanced data. - Suiyan Wang; Jiaye Tian; Pengfei Liang; Xuefang Xu; Zhuoze Yu; Siyuan Liu; Delong Zhang (Eng. Appl. Artif. Intell., 2024)

A broad learning model guided by global and local receptive causal features for online incremental machinery fault diagnosis. - Xuefang Xu; Shuo Bao; Pengfei Liang; Zijian Qiao; Changbo He; Peiming Shi (Expert Syst. Appl., 2024)

Rolling mill fault diagnosis under limited datasets. - Junjie He; Peiming Shi; Xuefang Xu; Dongying Han (Knowl. Based Syst., 2024)

Multi-source domain adaptation using diffusion denoising for bearing fault diagnosis under variable working conditions. - Xuefang Xu; Xu Yang; Zijian Qiao; Pengfei Liang; Changbo He; Peiming Shi (Knowl. Based Syst., 2024)

Adversarial Domain Adaptation Model Based on LDTW for Extreme Partial Transfer Fault Diagnosis of Rotating Machines. - Xuefang Xu; Xu Yang; Changbo He; Peiming Shi; Changchun Hua (IEEE Trans. Instrum. Meas., 2024)

Physically interpretable Stockwell weight initialization and adaptive fusion average threshold for intelligent fault diagnosis of rolling bearing under noisy environment. - Lijie Zhang; Junhui Hu; Pengfei Liang; Xuefang Xu; Guoqiang Li; Zhongliang Xie; Suiyan Wang (Eng. Appl. Artif. Intell., 2025)

KMDSAN: A novel method for cross-domain and unsupervised bearing fault diagnosis. - Shuping Wu; Peiming Shi; Xuefang Xu; Xu Yang; Ruixiong Li; Zijian Qiao (Knowl. Based Syst., 2025)

Simulated Data-Assisted Fault Diagnosis Framework With Dual-Path Feature Fusion for Rolling Element Bearings Under Incomplete Data. - Xuefang Xu; Xiaofeng Ou; Liang Ge; Zijian Qiao; Peiming Shi (IEEE Trans. Instrum. Meas., 2025)

An improved lightweight residual network model deployed on the edge device for the unsupervised cross-domain fault diagnosis. - Changbo He; Qi Meng; Xuefang Xu; Peng Chen; Pengfei Liang; Jiahui Cao (Expert Syst. Appl., 2026)