Extracting cyclo-stationarity of repetitive transients from envelope spectrum based on prior-unknown blind deconvolution technique. - Liu He; Dong Wang 001; Cai Yi; Qiuyang Zhou; Jianhui Lin (Signal Process., 2021)

Blind Deconvolution Technique Based on Improved Correlated Generalized Lp/Lq Norm for Extracting Repetitive Transient Feature. - Qiuyang Zhou; Yuhui Zhang; Jiayin Tang; Jianhui Lin; Liu He; Cai Yi (IEEE Trans. Instrum. Meas., 2021)

Fast Convolutional Sparse Dictionary Learning Based on LocOMP and Its Application to Bearing Fault Detection. - Liu He; Cai Yi; Qiuyang Zhou; Jianhui Lin (IEEE Trans. Instrum. Meas., 2022)

A novel transfer learning network with adaptive input length selection and lightweight structure for bearing fault diagnosis. - Guiting Tang; Cai Yi; Lei Liu; Xingguo Yang; Du Xu; Qiuyang Zhou; Jianhui Lin (Eng. Appl. Artif. Intell., 2023)

An Adaptive Harmonic Product Spectrum for Rotating Machinery Fault Diagnosis. - Cai Yi; Hao Wang; Qiuyang Zhou; Qiwei Hu; Pengcheng Zhou; Jianhui Lin (IEEE Trans. Instrum. Meas., 2023)

A Blind Deconvolution Approach Based on Spectral Harmonics-to-Noise Ratio for Rotating Machinery Condition Monitoring. - Qiuyang Zhou; Cai Yi; Lei Yan 004; Chenguang Huang; Jianhui Lin (IEEE Trans Autom. Sci. Eng., 2023)

Multi-Objective Sparsity Maximum Mode De-Composition: A New Method for Rotating Machine Fault Diagnosis on High-Speed Train Axle Box. - Qiuyang Zhou; Cai Yi; Lei Yan 004; Xinwu Song; Du Xu; Chenguang Huang; Lu Zhou; Jianhui Lin (IEEE Trans. Veh. Technol., 2023)

Integrating adaptive input length selection strategy and unsupervised transfer learning for bearing fault diagnosis under noisy conditions. - Guiting Tang; Cai Yi; Lei Liu; Zhan Xing; Qiuyang Zhou; Jianhui Lin (Appl. Soft Comput., 2023)

Unsupervised transfer learning for intelligent health status identification of bearing in adaptive input length selection. - Guiting Tang; Lei Liu; Yirong Liu; Cai Yi; Yongxu Hu; Du Xu; Qiuyang Zhou; Jianhui Lin (Eng. Appl. Artif. Intell., 2023)

Cyclostationary harmonic product spectrum with its application for rolling bearing fault resonance frequency band adaptive location. - Cai Yi; Weihao Zhang; Hu Cao; Lei Yan 004; Qiuyang Zhou; Ying Shi; Guiting Tang; Le Ran; Jianhui Lin (Expert Syst. Appl., 2024)

Dictionary Learning Method for Cyclostationarity Maximization and Its Application to Bearing Fault Feature Extraction. - Weihao Zhang; Cai Yi; Lei Yan 004; Qi Liu; Qiuyang Zhou; Pengfei He; Le Ran; Yunzhi Lin (IEEE Trans. Instrum. Meas., 2024)

A parallel ensemble optimization and transfer learning based intelligent fault diagnosis framework for bearings. - Guiting Tang; Cai Yi; Lei Liu; Du Xu; Qiuyang Zhou; Yongxu Hu; Pengcheng Zhou; Jianhui Lin (Eng. Appl. Artif. Intell., 2024)

Multi-Node Feature Learning Network Based on Maximum Spectral Harmonics-to-Noise Ratio Deconvolution for Machine Condition Monitoring. - Qiuyang Zhou; Cai Yi; Lei Yan 004; Chenguang Huang; Xinwu Song; Du Xu; Lu Zhou; Jianhui Lin (IEEE Trans Autom. Sci. Eng., 2024)

Neural Network Integrated With Classical Signal Processing Techniques for Generating Optimized Square Envelope Spectrum and Its Application in Machine Condition Monitoring. - Liu He; Xinlun Li; Qiuyang Zhou; Cai Yi; Yifan Li 010 (IEEE Trans. Instrum. Meas., 2025)

A Multiscale Pooling Attention-Based Graph Attention Network for Remaining Useful Life Prediction. - Jiayin Tang; Yonghao Miao; Yu Xia; Qiuyang Zhou; Cai Yi (IEEE Trans. Instrum. Meas., 2025)

A Complex Attention Transformer for Bearing Fault Diagnosis Based on Motor Current Signals. - Jiayin Tang; Qiuyang Zhou; Kexin Yin (IEEE Trans. Instrum. Meas., 2025)