| 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 | 146 | 2019 |
| 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 | 92 | 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 | 74 | 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 | 58 | 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 | 39 | 2020 |
| 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 | 31 | 2019 |
| Periodical sparse low-rank matrix estimation algorithm for fault detection of rolling bearings B Wang, Y Liao, C Ding, X Zhang ISA transactions 101, 366-378, 2020 | 28 | 2020 |
| 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 | 20 | 2022 |
| Sparse feature extraction based on periodical convolutional sparse representation for fault detection of rotating machinery C Ding, M Zhao, J Lin Measurement Science and Technology 32 (1), 015008, 2020 | 19 | 2020 |
| Kernel ridge regression-based chirplet transform for non-stationary signal analysis and its application in machine fault detection under varying speed conditions C Ding, M Zhao, J Lin, K Liang, J Jiao Measurement 192, 110871, 2022 | 18 | 2022 |
| Application of improved double-dictionary K-SVD for compound-fault diagnosis of rolling element bearings M Zhang, K Liang, Y Miao, J Lin, C Ding Measurement 187, 110168, 2022 | 18 | 2022 |
| Deep hypergraph autoencoder embedding: An efficient intelligent approach for rotating machinery fault diagnosis M Shi, C Ding, R Wang, Q Song, C Shen, W Huang, Z Zhu Knowledge-Based Systems 260, 110172, 2023 | 16 | 2023 |
| 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 | 16 | 2022 |
| Hierarchical frequency-domain sparsity-based algorithm for fault feature extraction of rolling bearings B Wang, C Ding IEEE Transactions on Instrumentation and Measurement 69 (9), 6228-6240, 2020 | 16 | 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 18 (10), 7198-7207, 2021 | 15 | 2021 |
| Transient feature extraction of encoder signal for condition assessment of planetary gearboxes with variable rotational speed C Ding, M Zhao, J Lin, B Wang, K Liang Measurement 151, 107206, 2020 | 14 | 2020 |
| Multilayer-graph-embedded extreme learning machine for performance degradation prognosis of bearing M Shi, C Ding, H Que, C Wu, J Shi, C Shen, W Huang, Z Zhu Measurement 207, 112299, 2023 | 12 | 2023 |
| A novel domain generalization network with multidomain specific auxiliary classifiers for machinery fault diagnosis under unseen working conditions R Wang, W Huang, Y Lu, X Zhang, J Wang, C Ding, C Shen Reliability Engineering & System Safety 238, 109463, 2023 | 9 | 2023 |
| Transient feature identification from internal encoder signal for fault detection of planetary gearboxes under variable speed conditions B Wang, C Ding Measurement 171, 108761, 2021 | 9 | 2021 |
| An encoder information-based anomaly detection method for planetary gearbox diagnosis K Liang, M Zhao, J Lin, J Jiao, C Ding Measurement Science and Technology 31 (4), 045015, 2020 | 9 | 2020 |
Jinyang JiaoAssociate Professor, Beihang UniversityDirección de correo verificada de buaa.edu.cn
