Generative adversarial network in mechanical fault diagnosis under small sample: A systematic review on applications and future perspectives T Pan, J Chen, T Zhang, S Liu, S He, H Lv ISA transactions 128, 1-10, 2022 | 160 | 2022 |
Attention mechanism in intelligent fault diagnosis of machinery: A review of technique and application H Lv, J Chen, T Pan, T Zhang, Y Feng, S Liu Measurement, 111594, 2022 | 145 | 2022 |
Subspace Network with Shared Representation learning for intelligent fault diagnosis of machine under speed transient conditions with few samples S Liu, J Chen, S He, Z Shi, Z Zhou ISA transactions 128, 531-544, 2022 | 97 | 2022 |
Multi-channel Calibrated Transformer with Shifted Windows for few-shot fault diagnosis under sharp speed variation Z Chen, J Chen, S Liu, Y Feng, S He, E Xu ISA transactions 131, 501-515, 2022 | 48 | 2022 |
Few-shot learning under domain shift: Attentional contrastive calibrated transformer of time series for fault diagnosis under sharp speed variation S Liu, J Chen, S He, Z Shi, Z Zhou Mechanical Systems and Signal Processing 189, 110071, 2023 | 46 | 2023 |
Imbalance fault diagnosis under long-tailed distribution: Challenges, solutions and prospects Z Chen, J Chen, Y Feng, S Liu, T Zhang, K Zhang, W Xiao Knowledge-Based Systems 258, 110008, 2022 | 46 | 2022 |
Intelligent fault diagnosis under small sample size conditions via Bidirectional InfoMax GAN with unsupervised representation learning S Liu, J Chen, S He, E Xu, H Lv, Z Zhou Knowledge-Based Systems 232, 107488, 2021 | 46 | 2021 |
LOSGAN: latent optimized stable GAN for intelligent fault diagnosis with limited data in rotating machinery S Liu, J Chen, C Qu, R Hou, H Lv, T Pan Measurement Science and Technology 32 (4), 045101, 2021 | 45 | 2021 |
Contrastive-weighted self-supervised model for long-tailed data classification with vision transformer augmented R Hou, J Chen, Y Feng, S Liu, S He, Z Zhou Mechanical Systems and Signal Processing 177, 109174, 2022 | 44 | 2022 |
Heterogeneous bi-directional recurrent neural network combining fusion health indicator for predictive analytics of rotating machinery Y Chang, J Chen, H Lv, S Liu ISA transactions 122, 409-423, 2022 | 38 | 2022 |
Domain Discrepancy-guided Contrastive Feature Learning for Few-shot Industrial Fault Diagnosis under Variable Working Conditions T Zhang, J Chen, S Liu, Z Liu IEEE Transactions on Industrial Informatics, 2023 | 32 | 2023 |
Cross-domain intelligent bearing fault diagnosis under class imbalanced samples via transfer residual network augmented with explicit weight self-assignment strategy based on … X Liu, J Chen, K Zhang, S Liu, S He, Z Zhou Knowledge-Based Systems 251, 109272, 2022 | 31 | 2022 |
Multi-expert Attention Network with Unsupervised Aggregation for long-tailed fault diagnosis under speed variation Z Chen, J Chen, Z Xie, E Xu, Y Feng, S Liu Knowledge-Based Systems 252, 109393, 2022 | 24 | 2022 |
CFs-focused intelligent diagnosis scheme via alternative kernels networks with soft squeeze-and-excitation attention for fast-precise fault detection under slow & sharp speed … Y Chang, J Chen, Q Chen, S Liu, Z Zhou Knowledge-Based Systems 239, 108026, 2022 | 24 | 2022 |
Generative artificial intelligence and data augmentation for prognostic and health management: Taxonomy, progress, and prospects S Liu, J Chen, Y Feng, Z Xie, T Pan, J Xie Expert Systems with Applications 255, 124511, 2024 | 6 | 2024 |
Hybrid augmented network with balance domain window for few-shot fault diagnosis under sharp speed variation J Chen, J Chen, Z Chen, S Liu, S He Mechanical Systems and Signal Processing 207, 110944, 2024 | 3 | 2024 |