A Double-Channel Hybrid Deep Neural Network Based on CNN and BiLSTM for Remaining Useful Life Prediction. - Chengying Zhao; Xianzhen Huang; Yuxiong Li; Muhammad Yousaf Iqbal (Sensors, 2020)

A wiener-based remaining useful life prediction method with multiple degradation patterns. - Yuxiong Li; Xianzhen Huang; Tianhong Gao; Chengying Zhao; Shangjie Li (Adv. Eng. Informatics, 2023)

Online monitoring model of micro-milling force incorporating tool wear prediction process. - Pengfei Ding; Xianzhen Huang; Chengying Zhao; Huizhen Liu; Xuewei Zhang (Expert Syst. Appl., 2023)

Sample-imbalanced wafer map defects classification based on auxiliary classifier denoising diffusion probability model. - Jialin Li; Ran Tao; Renxiang Chen; Yongpeng Chen; Chengying Zhao; Xianzhen Huang (Comput. Ind. Eng., 2024)

A multiple conditions dual inputs attention network remaining useful life prediction method. - Chengying Zhao; Huaitao Shi; Xianzhen Huang; Yongchao Zhang (Eng. Appl. Artif. Intell., 2024)

An Adaptive Deconvolution Method with Improve Enhanced Envelope Spectrum and Its Application for Bearing Fault Feature Extraction. - Fengxia He; Chuansheng Zheng; Chao Pang; Chengying Zhao; Mingyang Yang; Yunpeng Zhu; Zhong Luo; Haitao Luo; Lei Li; Haotian Jiang (Sensors, 2024)

Degradation Twin Modeling of Bearing With Local Fluctuations at Spatial-Temporal Scale. - Tao Li 069; Huaitao Shi; Xiaotian Bai; Chengying Zhao; Tianyi Yang; Ke Zhang (IEEE Trans. Instrum. Meas., 2025)

Bearing Fault Diagnosis Based on Residual Networks and Grouped Two-Level Attention Mechanism for Multisource Signal Fusion. - Huaitao Shi; Huayang Sun; Chengying Zhao; Gang Han; Rongyang Wu; Yang Liu 355 (IEEE Trans. Instrum. Meas., 2025)

A temporal-spatial encoder convolutional network model for multitasking prediction. - Chengying Zhao; Huaitao Shi; Xianzhen Huang; Yongchao Zhang; Fengxia He (Appl. Intell., 2025)