Feature Identification With Compressive Measurements for Machine Fault Diagnosis. - Zhaohui Du; Xuefeng Chen 002; Han Zhang 036; Huihui Miao; Yanjie Guo; Boyuan Yang 002 (IEEE Trans. Instrum. Meas., 2016)

Compressed-Sensing-Based Periodic Impulsive Feature Detection for Wind Turbine Systems. - Zhaohui Du; Xuefeng Chen 002; Han Zhang 036; Boyuan Yang 002 (IEEE Trans. Ind. Informatics, 2017)

Dislocated Time Series Convolutional Neural Architecture: An Intelligent Fault Diagnosis Approach for Electric Machine. - Ruonan Liu; Guotao Meng; Boyuan Yang 002; Chuang Sun 001; Xuefeng Chen 002 (IEEE Trans. Ind. Informatics, 2017)

Fault Diagnosis for a Wind Turbine Generator Bearing via Sparse Representation and Shift-Invariant K-SVD. - Boyuan Yang 002; Ruonan Liu; Xuefeng Chen 002 (IEEE Trans. Ind. Informatics, 2017)

Sparse Time-Frequency Representation for Incipient Fault Diagnosis of Wind Turbine Drive Train. - Boyuan Yang 002; Ruonan Liu; Xuefeng Chen 002 (IEEE Trans. Instrum. Meas., 2018)

Remaining Useful Life Prediction Based on a Double-Convolutional Neural Network Architecture. - Boyuan Yang 002; Ruonan Liu; Enrico Zio (IEEE Trans. Ind. Electron., 2019)

Fast Nonlinear Chirplet Dictionary-Based Sparse Decomposition for Rotating Machinery Fault Diagnosis Under Nonstationary Conditions. - Boyuan Yang 002; Zhibo Yang 001; Ruobin Sun; Zhi Zhai; Xuefeng Chen 002 (IEEE Trans. Instrum. Meas., 2019)

Multiscale Kernel Based Residual Convolutional Neural Network for Motor Fault Diagnosis Under Nonstationary Conditions. - Ruonan Liu; Fei Wang 037; Boyuan Yang 002; Si-Zhao Joe Qin (IEEE Trans. Ind. Informatics, 2020)

Simultaneous Bearing Fault Recognition and Remaining Useful Life Prediction Using Joint-Loss Convolutional Neural Network. - Ruonan Liu; Boyuan Yang 002; Alexander G. Hauptmann (IEEE Trans. Ind. Informatics, 2020)

Self-supervised Contrastive Learning Approach for Bearing Fault Diagnosis with Rare Labeled Data. - Jianghai Chen; Boyuan Yang 002; Ruonan Liu (ISIE, 2022)

TF-FDGAN: Unsupervised Bearing Fault Detection Based on Time-Frequency Transform and Generative Adversarial Networks. - Zixuan Wei; Jingbo Ma; Boyuan Yang 002 (SAFEPROCESS, 2023)

Dynamic Confusion-Aware Correlation Network for Cross-Domain Fault Diagnosis. - Jinyuan Zhang; Boyuan Yang 002; Ruonan Liu (IECON, 2024)

Class-Aware Semi-Supervised Contrastive Learning with Pseudo-Label Guidance for Bearing Fault Diagnosis. - Lei Wang; Boyuan Yang 002 (INDIN, 2024)

Enhancing Domain Generalization in Rotating Machinery Fault Diagnosis Through Diffusion Model-Based Data Augmentation. - Jinyuan Zhang; Boyuan Yang 002 (INDIN, 2024)