Zong Meng
Orcid: 0000-0002-8480-3235
According to our database1,
Zong Meng
authored at least 19 papers
between 2019 and 2024.
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Bibliography
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
2023
A novel generation network using feature fusion and guided adversarial learning for fault diagnosis of rotating machinery.
Expert Syst. Appl., December, 2023
Intelligent fault diagnosis scheme for rolling bearing based on domain adaptation in one dimensional feature matching.
Appl. Soft Comput., October, 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
A parallel GRU with dual-stage attention mechanism model integrating uncertainty quantification for probabilistic RUL prediction of wind turbine bearings.
Reliab. Eng. Syst. Saf., July, 2023
Rolling bearing remaining useful life prediction based on dilated causal convolutional DenseNet and an exponential model.
Reliab. Eng. Syst. Saf., April, 2023
Fractional Fourier and time domain recurrence plot fusion combining convolutional neural network for bearing fault diagnosis under variable working conditions.
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
Integration of deep adaptation transfer learning and online sequential extreme learning machine for cross-person and cross-position activity recognition.
Expert Syst. Appl., 2023
2022
Classification and identification of epileptic EEG signals based on signal enhancement.
Biomed. Signal Process. Control., 2022
Research on fault diagnosis method of MS-CNN rolling bearing based on local central moment discrepancy.
Adv. Eng. Informatics, 2022
Fast Fault Diagnosis Method Of Rolling Bearings In Multi-Sensor Measurement Enviroment.
Proceedings of the IEEE International Conference on Acoustics, 2022
2021
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
2MNet: Multi-sensor and multi-scale model toward accurate fault diagnosis of rolling bearing.
Reliab. Eng. Syst. Saf., 2021
2019
Improved adaptive forward-backward matching pursuit algorithm to compressed sensing signal recovery.
Multim. Tools Appl., 2019
Improvement Motor Imagery EEG Classification Based on Regularized Linear Discriminant Analysis.
J. Medical Syst., 2019
Data Segmentation and Augmentation Methods Based on Raw Data Using Deep Neural Networks Approach for Rotating Machinery Fault Diagnosis.
IEEE Access, 2019