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 | 362 | 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 | 153 | 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 | 147 | 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 | 123 | 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 | 115 | 2018 |
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 | 93 | 2019 |
Double-level adversarial domain adaptation network for intelligent fault diagnosis J Jiao, J Lin, M Zhao, K Liang Knowledge-Based Systems 205, 106236, 2020 | 88 | 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 | 83 | 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 | 61 | 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 | 40 | 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 | 37 | 2018 |
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 | 36 | 2021 |
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 |
Source-free adaptation diagnosis for rotating machinery J Jiao, H Li, T Zhang, J Lin IEEE Transactions on Industrial Informatics, 2022 | 25 | 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 | 24 | 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 |
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 | 18 | 2022 |
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 | 17 | 2022 |