Jichao Zhuang
Orcid: 0000-0002-6681-9145
According to our database1,
Jichao Zhuang
authored at least 17 papers
between 2021 and 2024.
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Bibliography
2024
A Graph-Embedded Subdomain Adaptation Approach for Remaining Useful Life Prediction of Industrial IoT Systems.
IEEE Internet Things J., July, 2024
Source-free domain adaptation for transferable remaining useful life prediction of machine considering source data absence.
Reliab. Eng. Syst. Saf., 2024
Residual attention temporal recurrent network for fault diagnosis of gearboxes under limited labeled data.
Eng. Appl. Artif. Intell., 2024
An autoregressive model-based degradation trend prognosis considering health indicators with multiscale attention information.
Eng. Appl. Artif. Intell., 2024
2023
Remaining useful life prediction of bearings using multi-source adversarial online regression under online unknown conditions.
Expert Syst. Appl., October, 2023
Fault diagnosis of bearings using a two-stage transfer alignment approach with semantic consistency and entropy loss.
Expert Syst. Appl., September, 2023
Picture-in-Picture Strategy-Based Complex Graph Neural Network for Remaining Useful Life Prediction of Rotating Machinery.
IEEE Trans. Instrum. Meas., 2023
Multiscale Deep Graph Convolutional Networks for Intelligent Fault Diagnosis of Rotor-Bearing System Under Fluctuating Working Conditions.
IEEE Trans. Ind. Informatics, 2023
Deep imbalanced domain adaptation for transfer learning fault diagnosis of bearings under multiple working conditions.
Reliab. Eng. Syst. Saf., 2023
Health Trend Prediction of Rolling Bearings using Transferable Autoregressive Recurrent Adaptation Approach.
Proceedings of the 10th International Conference on Dependable Systems and Their Applications, 2023
2022
Multiobjective Evolution Enhanced Collaborative Health Monitoring and Prognostics: A Case Study of Bearing Life Test With Three-Axis Acceleration Signals.
IEEE Trans. Instrum. Meas., 2022
An adversarial transfer network with supervised metric for remaining useful life prediction of rolling bearing under multiple working conditions.
Reliab. Eng. Syst. Saf., 2022
Semi-supervised double attention guided assessment approach for remaining useful life of rotating machinery.
Reliab. Eng. Syst. Saf., 2022
Self-supervised pretraining via contrast learning for intelligent incipient fault detection of bearings.
Reliab. Eng. Syst. Saf., 2022
Deep imbalanced regression using cost-sensitive learning and deep feature transfer for bearing remaining useful life estimation.
Appl. Soft Comput., 2022
Multi-component attention-based convolution network for color difference recognition with wavelet entropy strategy.
Adv. Eng. Informatics, 2022
2021
Temporal convolution-based transferable cross-domain adaptation approach for remaining useful life estimation under variable failure behaviors.
Reliab. Eng. Syst. Saf., 2021