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Fengjie Fan
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2020 – today
- 2025
- [j12]Wei Cao, Zong Meng, Jimeng Li, Jie Wu, Fengjie Fan:
A Remaining Useful Life Prediction Method for Rolling Bearing Based on TCN-Transformer. IEEE Trans. Instrum. Meas. 74: 1-9 (2025) - [j11]Zong Meng, Yabo Wang, Jingbo Liu, Jimeng Li, Fengjie Fan:
Velocity-Matching Extraction Demodulation Transform for Nonstationary Signal Analysis of Rolling Bearings. IEEE Trans. Instrum. Meas. 74: 1-11 (2025) - 2024
- [j10]Yang Guan, Zong Meng, Jimeng Li, Wei Cao, Dengyun Sun, Jingbo Liu, Fengjie Fan:
A novel diagnostic framework based on vibration image encoding and multi-scale neural network. Expert Syst. Appl. 251: 124054 (2024) - 2023
- [j9]Dengyun Sun, Zong Meng, Yang Guan, Jingbo Liu, Wei Cao, Fengjie Fan:
Intelligent fault diagnosis scheme for rolling bearing based on domain adaptation in one dimensional feature matching. Appl. Soft Comput. 146: 110669 (2023) - [j8]Zong Meng, Jing Liu, Jingbo Liu, Jimeng Li, Lixiao Cao, Fengjie Fan, Shancheng Yu:
An improved variational mode decomposition method based on spectrum reconstruction and segmentation and its application in rolling bearing fault diagnosis. Digit. Signal Process. 141: 104161 (2023) - [j7]Zong Meng, Huihui He, Wei Cao, Jimeng Li, Lixiao Cao, Jingjing Fan, Meng Zhu, Fengjie Fan:
A novel generation network using feature fusion and guided adversarial learning for fault diagnosis of rotating machinery. Expert Syst. Appl. 234: 121058 (2023) - [j6]Ruxue Bai, Zong Meng, Quansheng Xu, Fengjie Fan:
Fractional Fourier and time domain recurrence plot fusion combining convolutional neural network for bearing fault diagnosis under variable working conditions. Reliab. Eng. Syst. Saf. 232: 109076 (2023) - [j5]Zong Meng, Ruxue Bai, Quansheng Xu, Jimeng Li, Fengjie Fan:
Fractional Fourier Domain Feature Fusion Combining Multichannel Targeting Extreme Learning Machine for Bearing Fault Diagnosis. IEEE Trans. Instrum. Meas. 72: 1-13 (2023) - [j4]Zong Meng, Zhaolin Cui, Jingbo Liu, Jimeng Li, Fengjie Fan:
Maximum Cyclic Gini Index Deconvolution for Rolling Bearing Fault Diagnosis. IEEE Trans. Instrum. Meas. 72: 1-12 (2023) - 2022
- [j3]Zong Meng, Wei Cao, Dengyun Sun, Qian Li, Wuxu Ma, Fengjie Fan:
Research on fault diagnosis method of MS-CNN rolling bearing based on local central moment discrepancy. Adv. Eng. Informatics 54: 101797 (2022) - [j2]Jun Jing, Xuewen Pang, Zuozhou Pan, Fengjie Fan, Zong Meng:
Classification and identification of epileptic EEG signals based on signal enhancement. Biomed. Signal Process. Control. 71(Part): 103248 (2022) - 2021
- [j1]Yang Guan, Zong Meng, Dengyun Sun, Jingbo Liu, Fengjie Fan:
2MNet: Multi-sensor and multi-scale model toward accurate fault diagnosis of rolling bearing. Reliab. Eng. Syst. Saf. 216: 108017 (2021)
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