| Aircraft engine degradation prognostics based on logistic regression and novel OS-ELM algorithm F Lu, J Wu, J Huang, X Qiu Aerospace Science and Technology 84, 661-671, 2019 | 93 | 2019 |
| An improved extended Kalman filter with inequality constraints for gas turbine engine health monitoring F Lu, H Ju, J Huang Aerospace Science and Technology 58, 36-47, 2016 | 90 | 2016 |
| Gas path health monitoring for a turbofan engine based on a nonlinear filtering approach F Lu, J Huang, Y Lv Energies 6 (1), 492-513, 2013 | 69 | 2013 |
| A novel distributed extended Kalman filter for aircraft engine gas-path health estimation with sensor fusion uncertainty F Lu, T Gao, J Huang, X Qiu Aerospace Science and Technology 84, 90-106, 2019 | 67 | 2019 |
| Nonlinear Kalman filters for aircraft engine gas path health estimation with measurement uncertainty F Lu, T Gao, J Huang, X Qiu Aerospace Science and Technology 76, 126-140, 2018 | 49 | 2018 |
| HER2-dependent MMP-7 expression is mediated by activated STAT3 G Yuan, LU Qian, M Shi, F Lu, D Li, M Hu, M Yu, B Shen, N Guo Cellular signalling 20 (7), 1284-1291, 2008 | 49 | 2008 |
| An integrated nonlinear model-based approach to gas turbine engine sensor fault diagnostics F Lu, Y Chen, J Huang, D Zhang, N Liu Proceedings of the Institution of Mechanical Engineers, Part G: Journal of …, 2014 | 48 | 2014 |
| Reduced kernel recursive least squares algorithm for aero-engine degradation prediction H Zhou, J Huang, F Lu Mechanical Systems and Signal Processing 95, 446-467, 2017 | 47 | 2017 |
| In-flight adaptive modeling using polynomial LPV approach for turbofan engine dynamic behavior F Lu, J Qian, J Huang, X Qiu Aerospace Science and Technology 64, 223-236, 2017 | 46 | 2017 |
| Sensor fault diagnosis for aero engine based on online sequential extreme learning machine with memory principle J Lu, J Huang, F Lu Energies 10 (1), 39, 2017 | 46 | 2017 |
| An improved multivariable generalized predictive control algorithm for direct performance control of gas turbine engine X Zhou, F Lu, W Zhou, J Huang Aerospace Science and Technology 99, 105576, 2020 | 44 | 2020 |
| Fault diagnosis based on measurement reconstruction of HPT exit pressure for turbofan engine Z Xin, LU Feng, J Huang Chinese Journal of Aeronautics 32 (5), 1156-1170, 2019 | 39 | 2019 |
| Fusing unscented Kalman filter for performance monitoring and fault accommodation in gas turbine F Lu, Y Wang, J Huang, Y Huang, X Qiu Proceedings of the Institution of Mechanical Engineers, Part G: Journal of …, 2018 | 38 | 2018 |
| Kernel extreme learning machine with iterative picking scheme for failure diagnosis of a turbofan engine J Lu, J Huang, F Lu Aerospace Science and Technology 96, 105539, 2020 | 36 | 2020 |
| Dual reduced kernel extreme learning machine for aero-engine fault diagnosis F Lu, J Jiang, J Huang, X Qiu Aerospace Science and Technology 71, 742-750, 2017 | 36 | 2017 |
| Recursive reduced kernel based extreme learning machine for aero-engine fault pattern recognition CX You, JQ Huang, F Lu Neurocomputing 214, 1038-1045, 2016 | 36 | 2016 |
| Life cycle performance estimation and in-flight health monitoring for gas turbine engine F Lu, W Zheng, J Huang, M Feng Journal of Dynamic Systems, Measurement, and Control 138 (9), 091009, 2016 | 36 | 2016 |
| Gas path on-line fault diagnostics using a nonlinear integrated model for gas turbine engines F Lu, J Huang, C Ji, D Zhang, H Jiao International Journal of Turbo & Jet-Engines 31 (3), 261-275, 2014 | 33 | 2014 |
| Acceleration control strategy for aero-engines based on model-free deep reinforcement learning method W Gao, X Zhou, M Pan, W Zhou, F Lu, J Huang Aerospace Science and Technology 120, 107248, 2022 | 32 | 2022 |
| Restricted-Boltzmann-based extreme learning machine for gas path fault diagnosis of turbofan engine F Lu, J Wu, J Huang, X Qiu IEEE Transactions on Industrial Informatics 16 (2), 959-968, 2019 | 31 | 2019 |
