| A novel gas turbine fault diagnosis method based on transfer learning with CNN S Zhong, S Fu, L Lin Measurement 137, 435-453, 2019 | 227 | 2019 |
| Random forests-based extreme learning machine ensemble for multi-regime time series prediction L Lin, F Wang, X Xie, S Zhong Expert Systems with Applications 83, 164-176, 2017 | 128 | 2017 |
| Genetic algorithm optimized double-reservoir echo state network for multi-regime time series prediction S Zhong, X Xie, L Lin, F Wang Neurocomputing 238, 191-204, 2017 | 99 | 2017 |
| Deep residual LSTM with domain-invariance for remaining useful life prediction across domains S Fu, Y Zhang, L Lin, M Zhao, S Zhong Reliability Engineering & System Safety 216, 108012, 2021 | 74 | 2021 |
| Aircraft engine fault detection based on grouped convolutional denoising autoencoders FU Xuyun, LUO Hui, S Zhong, L Lin Chinese Journal of Aeronautics 32 (2), 296-307, 2019 | 64 | 2019 |
| A novel time-series memory auto-encoder with sequentially updated reconstructions for remaining useful life prediction S Fu, S Zhong, L Lin, M Zhao IEEE Transactions on Neural Networks and Learning Systems 33 (12), 7114-7125, 2021 | 52 | 2021 |
| Development and application of maintenance decision-making support system for aircraft fleet L Lin, B Luo, SS Zhong Advances in Engineering Software 114, 192-207, 2017 | 50 | 2017 |
| Highly imbalanced fault diagnosis of gas turbines via clustering-based downsampling and deep siamese self-attention network D Liu, S Zhong, L Lin, M Zhao, X Fu, X Liu Advanced Engineering Informatics 54, 101725, 2022 | 49 | 2022 |
| Novel gas turbine fault diagnosis method based on performance deviation model Z Li, SS Zhong, L Lin Journal of Propulsion and Power 33 (3), 730-739, 2017 | 45 | 2017 |
| Novel adaptive hybrid rule network based on TS fuzzy rules using an improved quantum-behaved particle swarm optimization L Lin, F Guo, X Xie, B Luo Neurocomputing 149, 1003-1013, 2015 | 42 | 2015 |
| A re-optimized deep auto-encoder for gas turbine unsupervised anomaly detection S Fu, S Zhong, L Lin, M Zhao Engineering Applications of Artificial Intelligence 101, 104199, 2021 | 40 | 2021 |
| A novel unsupervised anomaly detection for gas turbine using isolation forest S Zhong, S Fu, L Lin, X Fu, Z Cui, R Wang 2019 IEEE International Conference on Prognostics and Health Management …, 2019 | 36 | 2019 |
| Process Takagi–Sugeno model: A novel approach for handling continuous input and output functions and its application to time series prediction X Xie, L Lin, S Zhong Knowledge-Based Systems 63, 46-58, 2014 | 34 | 2014 |
| Handling missing values and unmatched features in a CBR system for hydro-generator design X Xie, L Lin, S Zhong Computer-Aided Design 45 (6), 963-976, 2013 | 32 | 2013 |
| An aero-engine life-cycle maintenance policy optimization algorithm: Reinforcement learning approach LI Zhen, S Zhong, LIN Lin Chinese journal of Aeronautics 32 (9), 2133-2150, 2019 | 30 | 2019 |
| Multi-objective decision-making model based on CBM for an aircraft fleet with reliability constraint L Lin, B Luo, SS Zhong International Journal of Production Research 56 (14), 4831-4848, 2018 | 29 | 2018 |
| Two-layer random forests model for case reuse in case-based reasoning S Zhong, X Xie, L Lin Expert Systems with Applications 42 (24), 9412-9425, 2015 | 28 | 2015 |
| Sample adaptive aero-engine gas-path performance prognostic model modeling method L Lin, J Liu, H Guo, Y Lv, C Tong Knowledge-Based Systems 224, 107072, 2021 | 25 | 2021 |
| Adaptive Levenberg–Marquardt algorithm: A new optimization strategy for Levenberg–Marquardt neural networks Z Yan, S Zhong, L Lin, Z Cui Mathematics 9 (17), 2176, 2021 | 24 | 2021 |
| Mechanical compound fault diagnosis via suppressing intra-class dispersions: A deep progressive shrinkage perspective B Zhong, M Zhao, S Zhong, L Lin, L Wang Measurement 199, 111433, 2022 | 20 | 2022 |
