| A comprehensive review on convolutional neural network in machine fault diagnosis J Jiao, M Zhao, J Lin, K Liang Neurocomputing 417 (5), 36-63, 2020 | 494 | 2020 |
| Residual joint adaptation adversarial network for intelligent transfer fault diagnosis J Jiao, M Zhao, J Lin, K Liang Mechanical Systems and Signal Processing 145, 106962, 2020 | 193 | 2020 |
| Deep coupled dense convolutional network with complementary data for intelligent fault diagnosis J Jiao, M Zhao, J Lin, C Ding IEEE Transactions on Industrial Electronics 66 (12), 9858-9867, 2019 | 169 | 2019 |
| Unsupervised adversarial adaptation network for intelligent fault diagnosis J Jiao, M Zhao, J Lin IEEE Transactions on Industrial Electronics 67 (11), 9904-9913, 2019 | 151 | 2019 |
| A multivariate encoder information based convolutional neural network for intelligent fault diagnosis of planetary gearboxes J Jiao, M Zhao, J Lin, J Zhao Knowledge-Based Systems 160, 237-250, 2018 | 126 | 2018 |
| Double-level adversarial domain adaptation network for intelligent fault diagnosis J Jiao, J Lin, M Zhao, K Liang Knowledge-Based Systems 205, 106236, 2020 | 109 | 2020 |
| Classifier inconsistency-based domain adaptation network for partial transfer intelligent diagnosis J Jiao, M Zhao, J Lin, C Ding IEEE Transactions on Industrial Informatics 16 (9), 5965-5974, 2019 | 108 | 2019 |
| Hierarchical discriminating sparse coding for weak fault feature extraction of rolling bearings J Jiao, M Zhao, J Lin, K Liang Reliability Engineering & System Safety 184, 41-54, 2019 | 102 | 2019 |
| Multi-objective iterative optimization algorithm based optimal wavelet filter selection for multi-fault diagnosis of rolling element bearings C Ding, M Zhao, J Lin, J Jiao ISA transactions 88, 199-215, 2019 | 82 | 2019 |
| Maximum average kurtosis deconvolution and its application for the impulsive fault feature enhancement of rotating machinery K Liang, M Zhao, J Lin, J Jiao, C Ding Mechanical Systems and Signal Processing 149, 107323, 2021 | 78 | 2021 |
| Source-free adaptation diagnosis for rotating machinery J Jiao, H Li, T Zhang, J Lin IEEE Transactions on Industrial Informatics 19 (9), 9586-9595, 2022 | 63 | 2022 |
| Multi-weight domain adversarial network for partial-set transfer diagnosis J Jiao, M Zhao, J Lin IEEE Transactions on Industrial Electronics 69 (4), 4275-4284, 2021 | 48 | 2021 |
| A novel indicator to improve fast kurtogram for the health monitoring of rolling bearing K Liang, M Zhao, J Lin, C Ding, J Jiao, Z Zhang IEEE Sensors Journal 20 (20), 12252-12261, 2020 | 47 | 2020 |
| A data-driven monitoring scheme for rotating machinery via self-comparison approach M Zhao, J Jiao, J Lin IEEE Transactions on Industrial Informatics 15 (4), 2435-2445, 2018 | 43 | 2018 |
| Sparsity-based algorithm for condition assessment of rotating machinery using internal encoder data C Ding, M Zhao, J Lin, J Jiao, K Liang IEEE Transactions on Industrial Electronics 67 (9), 7982-7993, 2019 | 37 | 2019 |
| Uncertainty-based contrastive prototype-matching network towards cross-domain fault diagnosis with small data T Zhang, J Jiao, J Lin, H Li, J Hua, D He Knowledge-Based Systems 254, 109651, 2022 | 35 | 2022 |
| A mixed adversarial adaptation network for intelligent fault diagnosis J Jiao, M Zhao, J Lin, K Liang, C Ding Journal of Intelligent Manufacturing 33 (8), 2207-2222, 2022 | 30 | 2022 |
| Cycle-consistent adversarial adaptation network and its application to machine fault diagnosis J Jiao, J Lin, M Zhao, K Liang, C Ding Neural Networks 145, 331-341, 2022 | 28 | 2022 |
| An information-based K-singular-value decomposition method for rolling element bearing diagnosis K Liang, M Zhao, J Lin, J Jiao ISA transactions 96, 444-456, 2020 | 28 | 2020 |
| Towards Prediction Constraints: A Novel Domain Adaptation Method for Machine Fault Diagnosis J Jiao, K Liang, C Ding, J Lin IEEE Transactions on Industrial Informatics 10 (18), 7198-7207, 2022 | 23 | 2022 |
Kaixuan Liang西安交通大学博士Email được xác minh tại stu.xjtu.edu.cn