Temporal convolution-based transferable cross-domain adaptation approach for remaining useful life estimation under variable failure behaviors. - Jichao Zhuang; Minping Jia; Yifei Ding; Peng Ding 002 (Reliab. Eng. Syst. Saf., 2021)

Multi-component attention-based convolution network for color difference recognition with wavelet entropy strategy. - Jichao Zhuang; Qingjin Peng; Fenghe Wu; Baosu Guo (Adv. Eng. Informatics, 2022)

Deep imbalanced regression using cost-sensitive learning and deep feature transfer for bearing remaining useful life estimation. - Yifei Ding; Minping Jia; Jichao Zhuang; Peng Ding 002 (Appl. Soft Comput., 2022)

Self-supervised pretraining via contrast learning for intelligent incipient fault detection of bearings. - Yifei Ding; Jichao Zhuang; Peng Ding 002; Minping Jia (Reliab. Eng. Syst. Saf., 2022)

Semi-supervised double attention guided assessment approach for remaining useful life of rotating machinery. - Jichao Zhuang; Minping Jia; Yudong Cao; Xiaoli Zhao (Reliab. Eng. Syst. Saf., 2022)

An adversarial transfer network with supervised metric for remaining useful life prediction of rolling bearing under multiple working conditions. - Jichao Zhuang; Minping Jia; Xiaoli Zhao (Reliab. Eng. Syst. Saf., 2022)

Multiobjective Evolution Enhanced Collaborative Health Monitoring and Prognostics: A Case Study of Bearing Life Test With Three-Axis Acceleration Signals. - Peng Ding 002; Minping Jia; Jichao Zhuang; Yifei Ding; Yudong Cao; Xiaoli Zhao; Chi-Guhn Lee (IEEE Trans. Instrum. Meas., 2022)

Health Trend Prediction of Rolling Bearings using Transferable Autoregressive Recurrent Adaptation Approach. - Yudong Cao; Minping Jia; Jichao Zhuang (DSA, 2023)

Deep imbalanced domain adaptation for transfer learning fault diagnosis of bearings under multiple working conditions. - Yifei Ding; Minping Jia; Jichao Zhuang; Yudong Cao; Xiaoli Zhao; Chi-Guhn Lee (Reliab. Eng. Syst. Saf., 2023)

Multiscale Deep Graph Convolutional Networks for Intelligent Fault Diagnosis of Rotor-Bearing System Under Fluctuating Working Conditions. - Xiaoli Zhao; Jianyong Yao; Wenxiang Deng; Peng Ding 002; Jichao Zhuang; Zheng Liu 002 (IEEE Trans. Ind. Informatics, 2023)

Picture-in-Picture Strategy-Based Complex Graph Neural Network for Remaining Useful Life Prediction of Rotating Machinery. - Yudong Cao; Jichao Zhuang; Minping Jia; Xiaoli Zhao; Xiaoan Yan; Zheng Liu 002 (IEEE Trans. Instrum. Meas., 2023)

Fault diagnosis of bearings using a two-stage transfer alignment approach with semantic consistency and entropy loss. - Jichao Zhuang; Yudong Cao; Minping Jia; Xiaoli Zhao; Qingjin Peng (Expert Syst. Appl., 2023)

Remaining useful life prediction of bearings using multi-source adversarial online regression under online unknown conditions. - Jichao Zhuang; Yudong Cao; Minping Jia; Xiaoli Zhao; Qingjin Peng (Expert Syst. Appl., 2023)

An autoregressive model-based degradation trend prognosis considering health indicators with multiscale attention information. - Jichao Zhuang; Yudong Cao; Yifei Ding; Minping Jia; Ke Feng (Eng. Appl. Artif. Intell., 2024)

Residual attention temporal recurrent network for fault diagnosis of gearboxes under limited labeled data. - Jichao Zhuang; Jianhai Yan; Cheng-Geng Huang; Minping Jia (Eng. Appl. Artif. Intell., 2024)

Source-free domain adaptation for transferable remaining useful life prediction of machine considering source data absence. - Yudong Cao; Jichao Zhuang; Qiuhua Miao; Minping Jia; Ke Feng; Xiaoli Zhao; Xiaoan Yan; Peng Ding 002 (Reliab. Eng. Syst. Saf., 2024)

A Graph-Embedded Subdomain Adaptation Approach for Remaining Useful Life Prediction of Industrial IoT Systems. - Jichao Zhuang; Yuejian Chen; Xiaoli Zhao; Minping Jia; Ke Feng (IEEE Internet Things J., 2024)

Remaining useful life prediction of equipment using a multiobjective optimization reinforced prognostic approach. - Jichao Zhuang; Xiaotong Ding; Zilin Zhang; Xiaoli Zhao; Weigang Li 004; Ke Feng (Comput. Ind. Eng., 2025)