A novel model with the ability of few-shot learning and quick updating for intelligent fault diagnosis Z Ren, Y Zhu, K Yan, K Chen, W Kang, Y Yue, D Gao Mechanical systems and signal processing 138, 106608, 2020 | 118 | 2020 |
A systematic review on imbalanced learning methods in intelligent fault diagnosis Z Ren, T Lin, K Feng, Y Zhu, Z Liu, K Yan IEEE Transactions on Instrumentation and Measurement 72, 1-35, 2023 | 116 | 2023 |
A novel weak fault diagnosis method for rolling bearings based on LSTM considering quasi-periodicity D Gao, Y Zhu, Z Ren, K Yan, W Kang Knowledge-Based Systems 231, 107413, 2021 | 89 | 2021 |
Adaptive cost-sensitive learning: Improving the convergence of intelligent diagnosis models under imbalanced data Z Ren, Y Zhu, W Kang, H Fu, Q Niu, D Gao, K Yan, J Hong Knowledge-based systems 241, 108296, 2022 | 60 | 2022 |
Few-shot GAN: Improving the performance of intelligent fault diagnosis in severe data imbalance Z Ren, Y Zhu, Z Liu, K Feng IEEE Transactions on instrumentation and measurement 72, 1-14, 2023 | 55 | 2023 |
Joint learning system based on semi–pseudo–label reliability assessment for weak–fault diagnosis with few labels D Gao, Y Zhu, K Yan, H Fu, Z Ren, W Kang, CG Soares Mechanical Systems and Signal Processing 189, 110089, 2023 | 32 | 2023 |
Semi-supervised small sample fault diagnosis under a wide range of speed variation conditions based on uncertainty analysis D Gao, K Huang, Y Zhu, L Zhu, K Yan, Z Ren, CG Soares Reliability Engineering & System Safety 242, 109746, 2024 | 19 | 2024 |
Generative adversarial networks driven by multi-domain information for improving the quality of generated samples in fault diagnosis Z Ren, D Gao, Y Zhu, Q Ni, K Yan, J Hong Engineering Applications of Artificial Intelligence 124, 106542, 2023 | 19 | 2023 |
Research on extracting weak repetitive transients of fault rolling element bearing W Kang, Y Zhu, K Yan, Z Ren, D Gao, J Hong ISA transactions 123, 381-397, 2022 | 19 | 2022 |
CCFT: the convolution and cross-fusion transformer for fault diagnosis of bearings T Lin, Y Zhu, Z Ren, K Huang, D Gao IEEE/ASME Transactions on Mechatronics, 2023 | 10 | 2023 |
Generative adversarial network with dual multi-scale feature fusion for data augmentation in fault diagnosis Z Ren, J Ji, Y Zhu, J Hong, K Feng IEEE Transactions on Instrumentation and Measurement, 2023 | 10 | 2023 |
Match-reinforcement learning with time frequency selection for bearing fault diagnosis J Wang, D Gao, Y Zhu, Z Ren, R Zhao, T Lin, K Yan, J Hong Measurement Science and Technology 34 (12), 125005, 2023 | 7 | 2023 |
Weak fault detection with a two-stage key frequency focusing model D Gao, Y Zhu, W Kang, H Fu, K Yan, Z Ren ISA transactions 125, 384-399, 2022 | 7 | 2022 |
Fault diagnosis with imbalanced data based on auto-encoder Z Ren, Y Zhu, Y Fu, C Zhang, K Yan, J Hong 2020 11th International Conference on Prognostics and System Health …, 2020 | 6 | 2020 |
An investigation into the behavior of intelligent fault diagnostic models under imbalanced data Z Ren, J Ji, Y Zhu, K Feng IEEE Transactions on Instrumentation and Measurement, 2023 | 5 | 2023 |
Anomaly Detection Method with Multivariable Coupling Network and Variational Graph Autoencoder C Zhang, Y Zhu, M Yang, Z Ren, K Yan, J Hong Journal of Xi'an Jiaotong University 55 (4), 20-28, 2021 | 5 | 2021 |
Progressive generative adversarial network for generating high-dimensional and wide-frequency signals in intelligent fault diagnosis Z Ren, K Huang, Y Zhu, K Feng, Z Liu, H Fu, J Hong, A Glowacz Engineering Applications of Artificial Intelligence 133, 108332, 2024 | 4 | 2024 |
An Improved Fault Diagnosis Method for Rolling Bearings Based on 1D_CNN Considering Noise and Working Condition Interference K Huang, L Zhu, Z Ren, T Lin, L Zeng, J Wan, Y Zhu Machines 12 (6), 383, 2024 | 4 | 2024 |
Ship track prediction based on LSTM KD Chen, YS Zhu, K Yan, YQ Cai, ZJ Ren, DW Gao Ship & Ocean Engineering 48 (6), 121-125, 2019 | 4 | 2019 |
Modeling and fault size estimation for non-penetrating damage in the outer raceway of tapered roller bearing W Kang, Y Zhu, K Yan, Y Liu, D Gao, Z Ren Machines 10 (7), 516, 2022 | 3 | 2022 |