Memory Residual Regression Autoencoder for Bearing Fault Detection. - Xin Huang 014; Guangrui Wen; Shuzhi Dong; Haoxuan Zhou; Zihao Lei; Zhifen Zhang; Xuefeng Chen 002 (IEEE Trans. Instrum. Meas., 2021)

An Intelligent Fault Diagnosis Method Based on Domain Adaptation and Its Application for Bearings Under Polytropic Working Conditions. - Zihao Lei; Guangrui Wen; Shuzhi Dong; Xin Huang 014; Haoxuan Zhou; Zhifen Zhang; Xuefeng Chen 002 (IEEE Trans. Instrum. Meas., 2021)

Real-Time Measurement of Seam Strength Using Optical Spectroscopy for Al-Li Alloy in Laser Beam Welding. - Zhifen Zhang; Yiming Huang; Rui Qin; Zihao Lei; Guangrui Wen (IEEE Trans. Instrum. Meas., 2021)

Construction of health indicators for condition monitoring of rotating machinery: A review of the research. - Haoxuan Zhou; Xin Huang 014; Guangrui Wen; Zihao Lei; Shuzhi Dong; Ping Zhang; Xuefeng Chen 002 (Expert Syst. Appl., 2022)

A Multisource Dense Adaptation Adversarial Network for Fault Diagnosis of Machinery. - Ziling Huang; Zihao Lei; Guangrui Wen; Xin Huang 014; Haoxuan Zhou; Ruqiang Yan 001; Xuefeng Chen 002 (IEEE Trans. Ind. Electron., 2022)

A Synchronous Holo-Balancing Method for Flexible Rotors Based on the Modified Initial Phase Vector. - Zihao Lei; Hongming Chen; Guangrui Wen; Ke Feng; Zheng Liu 002; Ruqiang Yan 001; Xuefeng Chen 002 (Inf. Fusion, 2023)

Digital twin-driven partial domain adaptation network for intelligent fault diagnosis of rolling bearing. - Yongchao Zhang 004; Jinchen Ji; Zhaohui Ren; Qing Ni; Fengshou Gu; Ke Feng; Kun Yu 003; Jian Ge 002; Zihao Lei; Zheng Liu 002 (Reliab. Eng. Syst. Saf., 2023)

CFCNN: A novel convolutional fusion framework for collaborative fault identification of rotating machinery. - Yadong Xu; Ke Feng; Xiaoan Yan; Ruqiang Yan 001; Qing Ni; Beibei Sun; Zihao Lei; Yongchao Zhang 004; Zheng Liu 002 (Inf. Fusion, 2023)

Integrated intelligent fault diagnosis approach of offshore wind turbine bearing based on information stream fusion and semi-supervised learning. - Yongchao Zhang 004; Kun Yu 003; Zihao Lei; Jian Ge 002; Yadong Xu; Zhixiong Li 001; Zhaohui Ren; Ke Feng (Expert Syst. Appl., 2023)

Knowledge Distillation-Guided Cost-Sensitive Ensemble Learning Framework for Imbalanced Fault Diagnosis. - Shuaiqing Deng; Zihao Lei; Guangrui Wen; Zhaojun Steven Li; Yongchao Zhang 004; Ke Feng; Xuefeng Chen 002 (IEEE Internet Things J., 2024)

Anomaly detection of machinery under time-varying operating conditions based on state-space and neural network modeling. - Zimin Liu; Zihao Lei; Guangrui Wen; Yue Xi; Yu Su; Ke Feng; Xuefeng Chen 002 (Adv. Eng. Informatics, 2025)

Sharpness-aware multidomain imbalance generalization with external adversarial learning and intrinsic balanced entropy regularization for intelligent fault diagnosis. - Shuaiqing Deng; Zihao Lei; Guangrui Wen; Yu Su; Zhifen Zhang; Houcheng Su; Xuefeng Chen 002; Chunsheng Yang (Eng. Appl. Artif. Intell., 2025)

Unsupervised graph transfer network with hybrid attention mechanism for fault diagnosis under variable operating conditions. - Zihao Lei; Feiyu Tian; Yu Su; Guangrui Wen; Ke Feng; Xuefeng Chen 002; Michael Beer; Chunsheng Yang (Reliab. Eng. Syst. Saf., 2025)

Unsupervised anomaly detection of machines operating under time-varying conditions: DCD-VAE enabled feature disentanglement of operating conditions and states. - Haoxuan Zhou; Bingsen Wang; Enrico Zio; Zihao Lei; Guangrui Wen; Xuefeng Chen 002 (Reliab. Eng. Syst. Saf., 2025)

Unsupervised Fault Detection Method via Time-Series Segmentation and Contrastive Masking Learning. - Yue Xi; Zihao Lei; Guangrui Wen; Zimin Liu; Yu Su; Zhifen Zhang; Xuefeng Chen 002 (IEEE Trans. Instrum. Meas., 2025)