| A novel concept drift detection method for incremental learning in nonstationary environments Z Yang, S Al-Dahidi, P Baraldi, E Zio, L Montelatici IEEE transactions on neural networks and learning systems 31 (1), 309-320, 2019 | 96 | 2019 |
| Superplastic deformation behavior of Mg alloys: A-review F Nazeer, J Long, Z Yang, C Li Journal of Magnesium and Alloys 10 (1), 97-109, 2022 | 66 | 2022 |
| A novel self-training semi-supervised deep learning approach for machinery fault diagnosis J Long, Y Chen, Z Yang, Y Huang, C Li International Journal of Production Research 61 (23), 8238-8251, 2023 | 56 | 2023 |
| An adaptive sparse deconvolution method for distinguishing the overlapping echoes of ultrasonic guided waves for pipeline crack inspection Y Chang, Y Zi, J Zhao, Z Yang, W He, H Sun Measurement Science and Technology 28 (3), 035002, 2017 | 56 | 2017 |
| A comparison between extreme learning machine and artificial neural network for remaining useful life prediction Z Yang, P Baraldi, E Zio 2016 Prognostics and System Health Management Conference (PHM-Chengdu), 1-7, 2016 | 50 | 2016 |
| A multi-branch deep neural network model for failure prognostics based on multimodal data Z Yang, P Baraldi, E Zio Journal of Manufacturing Systems 59, 42-50, 2021 | 49 | 2021 |
| Discriminative feature learning using a multiscale convolutional capsule network from attitude data for fault diagnosis of industrial robots J Long, Y Qin, Z Yang, Y Huang, C Li Mechanical Systems and Signal Processing 182, 109569, 2023 | 48 | 2023 |
| A method for fault detection in multi-component systems based on sparse autoencoder-based deep neural networks Z Yang, P Baraldi, E Zio Reliability Engineering & System Safety 220, 108278, 2022 | 47 | 2022 |
| A novel method for maintenance record clustering and its application to a case study of maintenance optimization Z Yang, P Baraldi, E Zio Reliability Engineering & System Safety 203, 107103, 2020 | 39 | 2020 |
| A systematic hybrid method for real-time prediction of system conditions in natural gas pipeline networks H Su, E Zio, J Zhang, Z Yang, X Li, Z Zhang Journal of Natural Gas Science and Engineering 57, 31-44, 2018 | 36 | 2018 |
| Self-adaptation graph attention network via meta-learning for machinery fault diagnosis with few labeled data J Long, R Zhang, Z Yang, Y Huang, Y Liu, C Li IEEE Transactions on Instrumentation and Measurement 71, 1-11, 2022 | 34 | 2022 |
| Sparse autoencoder-based multi-head deep neural networks for machinery fault diagnostics with detection of novelties Z Yang, D Gjorgjevikj, J Long, Y Zi, S Zhang, C Li Chinese Journal of Mechanical Engineering 34 (1), 54, 2021 | 33 | 2021 |
| Planetary gearbox condition monitoring of ship-based satellite communication antennas using ensemble multiwavelet analysis method J Chen, C Zhang, X Zhang, Y Zi, S He, Z Yang Mechanical Systems and Signal Processing 54, 277-292, 2015 | 31 | 2015 |
| Incremental novelty identification from initially one-class learning to unknown abnormality classification Z Yang, J Long, Y Zi, S Zhang, C Li IEEE Transactions on Industrial Electronics 69 (7), 7394-7404, 2021 | 26 | 2021 |
| An integrated, systematic data-driven supply-demand side management method for smart integrated energy systems H Su, L Chi, E Zio, Z Li, L Fan, Z Yang, Z Liu, J Zhang Energy 235, 121416, 2021 | 24 | 2021 |
| Microstructure feathers and ASB susceptibility under dynamic compression and its correlation with the ballistic impact of Mg alloys A Malik, F Nazeer, SZH Naqvi, J Long, C Li, Z Yang, Y Huang Journal of Materials Research and Technology 16, 801-813, 2022 | 15 | 2022 |
| On the opportunities of green computing: A survey Y Zhou, X Lin, X Zhang, M Wang, G Jiang, H Lu, Y Wu, K Zhang, Z Yang, ... arXiv preprint arXiv:2311.00447, 2023 | 12 | 2023 |
| A systematic method of remaining useful life estimation based on physics-informed graph neural networks with multisensor data Y He, H Su, E Zio, S Peng, L Fan, Z Yang, Z Yang, J Zhang Reliability Engineering & System Safety 237, 109333, 2023 | 12 | 2023 |
| A novel ultrasonic guided wave-based method for railway contact wire defect detection Y Chang, N Li, J Zhao, Y Wang, Z Yang IEEE Transactions on Instrumentation and Measurement 71, 1-9, 2022 | 12 | 2022 |
| Automatic extraction of a health indicator from vibrational data by sparse autoencoders Z Yang, P Baraldi, E Zio 2018 3rd International Conference on System Reliability and Safety (ICSRS …, 2018 | 10 | 2018 |
