| A comprehensive review on convolutional neural network in machine fault diagnosis J Jiao, M Zhao, J Lin, K Liang Neurocomputing 417, 36-63, 2020 | 349 | 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 | 148 | 2020 |
| Double-level adversarial domain adaptation network for intelligent fault diagnosis J Jiao, J Lin, M Zhao, K Liang Knowledge-Based Systems 205, 106236, 2020 | 87 | 2020 |
| 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 | 82 | 2019 |
| Application of an improved MCKDA for fault detection of wind turbine gear based on encoder signal Y Miao, M Zhao, K Liang, J Lin Renewable Energy 151, 192-203, 2020 | 58 | 2020 |
| 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 | 57 | 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 |
| 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 | 24 | 2020 |
| Fault signature enhancement and skidding evaluation of rolling bearing based on estimating the phase of the impulse envelope signal C Yan, M Zhao, J Lin, K Liang, Z Zhang Journal of Sound and Vibration 485, 115529, 2020 | 21 | 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 |
| 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 |
| 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 |
| 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 |
| Tacholess skidding evaluation and fault feature enhancement base on a two-step speed estimation method for rolling bearings C Yan, J Lin, K Liang, Z Ma, Z Zhang Mechanical Systems and Signal Processing 162, 108017, 2022 | 10 | 2022 |
| 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 |
| Toothwise health monitoring of planetary gearbox under time-varying speed condition based on rotating encoder signal K Liang, M Zhao, J Lin, J Jiao, C Ding IEEE Transactions on Industrial Electronics 69 (6), 6267-6277, 2021 | 5 | 2021 |
| Harmonics-to-noise ratio guided deconvolution and its application for bearing fault detection Y Miao, M Zhao, J Lin, K Liang, G Liu 2017 Prognostics and System Health Management Conference (PHM-Harbin), 1-8, 2017 | 2 | 2017 |
