| Practical options for selecting data-driven or physics-based prognostics algorithms with reviews D An, NH Kim, JH Choi Reliability Engineering & System Safety 133, 223-236, 2015 | 490 | 2015 |
| Prognostics 101: A tutorial for particle filter-based prognostics algorithm using Matlab D An, JH Choi, NH Kim Reliability Engineering & System Safety 115, 161-169, 2013 | 370 | 2013 |
| Prognostics and health management of engineering systems NH Kim, D An, JH Choi Switzerland: Springer International Publishing, 2017 | 283 | 2017 |
| Options for Prognostics Methods: A review of data-driven and physics-based prognostics D An, JH Choi, NH Kim 54th AIAA/ASME/ASCE/AHS/ASC Structures, Structural Dynamics, and Materials …, 2013 | 80 | 2013 |
| Identification of correlated damage parameters under noise and bias using Bayesian inference D An, JH Choi, NH Kim Structural Health Monitoring 11 (3), 293-303, 2012 | 78 | 2012 |
| Fatigue life prediction based on Bayesian approach to incorporate field data into probability model D An, JH Choi, NH Kim, S Pattabhiraman Structural engineering & mechanics 37 (4), 427, 2011 | 67 | 2011 |
| Diagnostics 101: A tutorial for fault diagnostics of rolling element bearing using envelope analysis in matlab S Kim, D An, JH Choi Applied Sciences 10 (20), 7302, 2020 | 53 | 2020 |
| Bayesian approach for structural reliability analysis and optimization using the Kriging Dimension Reduction Method J Choi, D An, J Won | 41 | 2010 |
| Remaining useful life prediction of Li-Ion battery based on charge voltage characteristics SH Sim, JH Gang, D An, SI Kim, JY Kim, JH Choi Transactions of the Korean Society of Mechanical Engineers B 37 (4), 313-322, 2013 | 35 | 2013 |
| A tutorial for model-based prognostics algorithms based on matlab code D An, JH Choi, NH Kim Annual Conference of the PHM Society 4 (1), 2012 | 35 | 2012 |
| In situ monitoring and prediction of progressive joint wear using Bayesian statistics D An, JH Choi, TL Schmitz, NH Kim Wear 270 (11-12), 828-838, 2011 | 34 | 2011 |
| Prediction of remaining useful life under different conditions using accelerated life testing data D An, JH Choi, NH Kim Journal of Mechanical Science and Technology 32, 2497-2507, 2018 | 26 | 2018 |
| A new prognostics approach for bearing based on entropy decrease and comparison with existing methods S Kim, S Park, JW Kim, J Han, D An, NH Kim, JH Choi Annual conference of the phm society 8 (1), 2016 | 22 | 2016 |
| Statistical aspects in neural network for the purpose of prognostics D An, NH Kim, JH Choi Journal of Mechanical Science and Technology 29, 1369-1375, 2015 | 22 | 2015 |
| Efficient reliability analysis based on Bayesian framework under input variable and metamodel uncertainties D An, JH Choi Structural and Multidisciplinary Optimization 46, 533-547, 2012 | 21 | 2012 |
| Bayesian approach for parameter estimation in the structural analysis and prognosis J Choi, D An, J Gang, J Joo, NH Kim Annual Conference of the PHM Society 2 (1), 2010 | 21 | 2010 |
| Remaining useful life prediction of rolling element bearings using degradation feature based on amplitude decrease at specific frequencies D An, JH Choi, NH Kim Structural Health Monitoring 17 (5), 1095-1109, 2018 | 20 | 2018 |
| A comparison study of methods for parameter estimation in the physics-based prognostics D An, J Choi, NH Kim 53rd AIAA/ASME/ASCE/AHS/ASC Structures, Structural Dynamics and Materials …, 2012 | 20 | 2012 |
| Reinforcement learning and neural network-based artificial intelligence control algorithm for self-balancing quadruped robot C Lee, D An Journal of Mechanical Science and Technology 35 (1), 307-322, 2021 | 17 | 2021 |
| Improved MCMC method for parameter estimation based on marginal probability density function D An, JH Choi Journal of Mechanical Science and Technology 27, 1771-1779, 2013 | 17 | 2013 |
