| Data-driven remaining useful life prediction via multiple sensor signals and deep long short-term memory neural network J Wu, K Hu, Y Cheng, H Zhu, X Shao, Y Wang ISA transactions 97, 241-250, 2020 | 266 | 2020 |
| Intelligent fault diagnosis of rotating machinery based on continuous wavelet transform-local binary convolutional neural network Y Cheng, M Lin, J Wu, H Zhu, X Shao Knowledge-Based Systems 216, 106796, 2021 | 211 | 2021 |
| Machine health monitoring using adaptive kernel spectral clustering and deep long short-term memory recurrent neural networks Y Cheng, H Zhu, J Wu, X Shao IEEE Transactions on Industrial Informatics 15 (2), 987-997, 2018 | 197 | 2018 |
| Multi-sensor information fusion for remaining useful life prediction of machining tools by adaptive network based fuzzy inference system J Wu, Y Su, Y Cheng, X Shao, C Deng, C Liu Applied Soft Computing 68, 13-23, 2018 | 173 | 2018 |
| Remaining useful life prognosis based on ensemble long short-term memory neural network Y Cheng, J Wu, H Zhu, SW Or, X Shao IEEE Transactions on Instrumentation and Measurement 70, 1-12, 2020 | 107 | 2020 |
| Intelligent fault diagnosis of rolling bearing based on wavelet transform and improved ResNet under noisy labels and environment P Liang, W Wang, X Yuan, S Liu, L Zhang, Y Cheng Engineering Applications of Artificial Intelligence 115, 105269, 2022 | 95 | 2022 |
| A convolutional neural network based degradation indicator construction and health prognosis using bidirectional long short-term memory network for rolling bearings Y Cheng, K Hu, J Wu, H Zhu, X Shao Advanced Engineering Informatics 48, 101247, 2021 | 94 | 2021 |
| Ensemble generalized multiclass support-vector-machine-based health evaluation of complex degradation systems J Wu, P Guo, Y Cheng, H Zhu, XB Wang, X Shao IEEE/ASME Transactions on Mechatronics 25 (5), 2230-2240, 2020 | 58 | 2020 |
| Autoencoder quasi-recurrent neural networks for remaining useful life prediction of engineering systems Y Cheng, K Hu, J Wu, H Zhu, X Shao IEEE/ASME Transactions on Mechatronics 27 (2), 1081-1092, 2021 | 57 | 2021 |
| Reliability prediction of machinery with multiple degradation characteristics using double-Wiener process and Monte Carlo algorithm Y Cheng, H Zhu, K Hu, J Wu, X Shao, Y Wang Mechanical Systems and Signal Processing 134, 106333, 2019 | 53 | 2019 |
| Deep bidirectional recurrent neural networks ensemble for remaining useful life prediction of aircraft engine K Hu, Y Cheng, J Wu, H Zhu, X Shao IEEE Transactions on Cybernetics 53 (4), 2531-2543, 2021 | 37 | 2021 |
| Multisensory data-driven health degradation monitoring of machining tools by generalized multiclass support vector machine Y Cheng, H Zhu, K Hu, J Wu, X Shao, Y Wang IEEE Access 7, 47102-47113, 2019 | 37 | 2019 |
| Multi-dimensional recurrent neural network for remaining useful life prediction under variable operating conditions and multiple fault modes Y Cheng, C Wang, J Wu, H Zhu, CKM Lee Applied Soft Computing 118, 108507, 2022 | 35 | 2022 |
| A deep learning-based two-stage prognostic approach for remaining useful life of rolling bearing Y Cheng, K Hu, J Wu, H Zhu, CKM Lee Applied Intelligence 52 (5), 5880-5895, 2022 | 21 | 2022 |
| Memory-enhanced hybrid deep learning networks for remaining useful life prognostics of mechanical equipment Y Wang, J Wu, Y Cheng, J Wang, K Hu Measurement 187, 110354, 2022 | 12 | 2022 |
| Health degradation monitoring of rolling element bearing by growing self-organizing mapping and clustered support vector machine Y Cheng, H Zhu, K Hu, J Wu, X Shao, Y Wang IEEE Access 7, 135322-135331, 2019 | 11 | 2019 |
| An economical optimization model of non-periodic maintenance decision for deteriorating system C Zhang, H Zhu, J Wu, Y Cheng, Y Deng, C Liu IEEE Access 6, 55149-55161, 2018 | 10 | 2018 |
| Ensemble recurrent neural network-based residual useful life prognostics of aircraft engines J Wu, K Hu, Y Cheng, J Wang, C Deng, Y Wang Structural Durability & Health Monitoring 13 (3), 317, 2019 | 9 | 2019 |
| A novel hierarchical structural pruning-multiscale feature fusion residual network for intelligent fault diagnosis Y Cheng, X Lin, H Zhu, J Wu, H Shi, H Ding Mechanism and Machine Theory 184, 105292, 2023 | 8 | 2023 |
| Intelligent fault diagnosis of rolling bearings based on clustering algorithm of fast search and find of density peaks J Wu, M Lin, Y Lv, Y Cheng Quality Engineering 35 (3), 399-412, 2023 | 6 | 2023 |
