Jimeng Li
Orcid: 0000-0002-7570-6118
According to our database1,
Jimeng Li
authored at least 29 papers
between 2014 and 2026.
Collaborative distances:
Collaborative distances:
Timeline
Legend:
Book In proceedings Article PhD thesis Dataset OtherLinks
On csauthors.net:
Bibliography
2026
A similarity-guided block-structured dictionary learning method for fault feature extraction of rolling bearings.
Signal Process., 2026
2025
Velocity-Matching Extraction Demodulation Transform for Nonstationary Signal Analysis of Rolling Bearings.
IEEE Trans. Instrum. Meas., 2025
Few-Shot Fault Diagnosis of Rolling Bearings Based on Category-Enhanced Siamese Attention Hierarchical-Embedded UNet Network.
IEEE Trans. Instrum. Meas., 2025
A Novel Cross-Scenario Transferable RUL Prediction Network With Multisource Domain Meta Transfer Learning for Wind Turbine Bearings.
IEEE Trans. Instrum. Meas., 2025
A Remaining Useful Life Prediction Method for Rolling Bearing Based on TCN-Transformer.
IEEE Trans. Instrum. Meas., 2025
MT-CDGAT: A multi-label diagnosis model for untrained planetary gearbox compound faults based on multi-task cross dynamic graph attention networks.
Neurocomputing, 2025
A remaining useful life prediction method of rolling bearings by RSA-BAFT combined with Copula Entropy feature selection.
Expert Syst. Appl., 2025
A novel multi-task fault detection model embedded with spatio-temporal feature fusion for wind turbine pitch and drive train systems.
Adv. Eng. Informatics, 2025
2024
RUL prediction of rolling bearings across working conditions based on multi-scale convolutional parallel memory domain adaptation network.
Reliab. Eng. Syst. Saf., March, 2024
HeMTAN: Hybrid task-adapted experts-based multi-task attention network for unseen compound fault decoupling diagnosis of rotating machinery.
Expert Syst. Appl., 2024
A novel diagnostic framework based on vibration image encoding and multi-scale neural network.
Expert Syst. Appl., 2024
Fault transfer diagnosis of rolling bearings across different devices via multi-domain information fusion and multi-kernel maximum mean discrepancy.
Appl. Soft Comput., 2024
Condition monitoring of wind turbine based on a novel spatio-temporal feature aggregation network integrated with adaptive threshold interval.
Adv. Eng. Informatics, 2024
2023
A novel generation network using feature fusion and guided adversarial learning for fault diagnosis of rotating machinery.
Expert Syst. Appl., December, 2023
An improved variational mode decomposition method based on spectrum reconstruction and segmentation and its application in rolling bearing fault diagnosis.
Digit. Signal Process., September, 2023
Rolling bearing remaining useful life prediction based on dilated causal convolutional DenseNet and an exponential model.
Reliab. Eng. Syst. Saf., April, 2023
IEEE Trans. Instrum. Meas., 2023
Fractional Fourier Domain Feature Fusion Combining Multichannel Targeting Extreme Learning Machine for Bearing Fault Diagnosis.
IEEE Trans. Instrum. Meas., 2023
Proceedings of the Methods and Applications for Modeling and Simulation of Complex Systems, 2023
2022
A local RBFs-based DQ approximation for Riesz fractional derivatives and its applications.
Numer. Algorithms, 2022
2021
Rolling Bearing Fault Detection Based on Improved Piecewise Unsaturated Bistable Stochastic Resonance Method.
IEEE Trans. Instrum. Meas., 2021
Adaptive energy-constrained variational mode decomposition based on spectrum segmentation and its application in fault detection of rolling bearing.
Signal Process., 2021
2020
2019
Extracting-mapping scheme for the dynamic details in fluid re-simulations from videos.
Multim. Syst., 2019
2018
An Adaptive Randomized Orthogonal Matching Pursuit Algorithm With Sliding Window for Rolling Bearing Fault Diagnosis.
IEEE Access, 2018
2014
Signal Process., 2014