Fengjie Fan
Orcid: 0000-0002-3371-2085
According to our database1,
Fengjie Fan
authored at least 12 papers
between 2021 and 2025.
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Bibliography
2025
Velocity-Matching Extraction Demodulation Transform for Nonstationary Signal Analysis of Rolling Bearings.
IEEE Trans. Instrum. Meas., 2025
A Remaining Useful Life Prediction Method for Rolling Bearing Based on TCN-Transformer.
IEEE Trans. Instrum. Meas., 2025
2024
A novel diagnostic framework based on vibration image encoding and multi-scale neural network.
Expert Syst. Appl., 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
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
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
2021
2MNet: Multi-sensor and multi-scale model toward accurate fault diagnosis of rolling bearing.
Reliab. Eng. Syst. Saf., 2021