| A new direct second-order reliability analysis method X Huang, Y Li, Y Zhang, X Zhang Applied Mathematical Modelling 55, 68-80, 2018 | 174 | 2018 |
| A double-channel hybrid deep neural network based on CNN and BiLSTM for remaining useful life prediction C Zhao, X Huang, Y Li, M Yousaf Iqbal Sensors 20 (24), 7109, 2020 | 98 | 2020 |
| Robust tolerance design for function generation mechanisms with joint clearances X Huang, Y Zhang Mechanism and machine theory 45 (9), 1286-1297, 2010 | 98 | 2010 |
| Wiener-based remaining useful life prediction of rolling bearings using improved Kalman filtering and adaptive modification Y Li, X Huang, P Ding, C Zhao Measurement 182, 109706, 2021 | 82 | 2021 |
| A heuristic survival signature based approach for reliability-redundancy allocation X Huang, FPA Coolen, T Coolen-Maturi Reliability Engineering & System Safety 185, 511-517, 2019 | 69 | 2019 |
| Reliability–sensitivity analysis using dimension reduction methods and saddlepoint approximations X Huang, Y Zhang International Journal for Numerical Methods in Engineering 93 (8), 857-886, 2013 | 68 | 2013 |
| Reliability sensitivity analysis for rack-and-pinion steering linkages X Huang, Y Zhang | 55 | 2010 |
| Reliability analysis of general phased mission systems with a new survival signature X Huang, LJM Aslett, FPA Coolen Reliability Engineering & System Safety 189, 416-422, 2019 | 49 | 2019 |
| Data-driven method for predicting remaining useful life of bearing based on Bayesian theory T Gao, Y Li, X Huang, C Wang Sensors 21 (1), 182, 2020 | 46 | 2020 |
| Reliability analysis of coherent systems subject to internal failures and external shocks X Huang, S Jin, X He, D He Reliability Engineering & System Safety 181, 75-83, 2019 | 44 | 2019 |
| A novel cap-LSTM model for remaining useful life prediction C Zhao, X Huang, Y Li, S Li IEEE Sensors Journal 21 (20), 23498-23509, 2021 | 42 | 2021 |
| Reliability analysis of structures using stochastic response surface method and saddlepoint approximation X Huang, Y Liu, Y Zhang, X Zhang Structural and Multidisciplinary Optimization 55, 2003-2012, 2017 | 34 | 2017 |
| A method to determine kinematic accuracy reliability of gear mechanisms with truncated random variables X Huang, S Hu, Y Zhang, Y Xu Mechanism and Machine theory 92, 200-212, 2015 | 34 | 2015 |
| Graph neural network architecture search for rotating machinery fault diagnosis based on reinforcement learning J Li, X Cao, R Chen, X Zhang, X Huang, Y Qu Mechanical Systems and Signal Processing 202, 110701, 2023 | 33 | 2023 |
| A steps-ahead tool wear prediction method based on support vector regression and particle filtering Y Li, X Huang, J Tang, S Li, P Ding Measurement 218, 113237, 2023 | 32 | 2023 |
| Sensitivity analysis for vibration transfer path systems with non-viscous damping Y Zhang, X Huang, Q Zhao Journal of Vibration and Control 17 (7), 1042-1048, 2011 | 31 | 2011 |
| Thermal error prediction and reliability sensitivity analysis of motorized spindle based on Kriging model Z Jiang, X Huang, M Chang, C Li, Y Ge Engineering Failure Analysis 127, 105558, 2021 | 29 | 2021 |
| Probabilistic analysis of chatter stability in turning X Huang, M Hu, Y Zhang, C Lv The International Journal of Advanced Manufacturing Technology 87, 3225-3232, 2016 | 26 | 2016 |
| A novel remaining useful life prediction method based on gated attention mechanism capsule neural network C Zhao, X Huang, Y Li, S Li Measurement 189, 110637, 2022 | 24 | 2022 |
| Reliability-based robust design for kinematic accuracy of the shaper mechanism under incomplete probability information 张义民， 黄贤振， 贺向东 Journal of Mechanical Engineering 45 (4), 105-110, 2009 | 24 | 2009 |
Frank CoolenProfessor of Statistics, Durham UniversityGeverifieerd e-mailadres voor durham.ac.uk
