| Model selection, updating, and averaging for probabilistic fatigue damage prognosis X Guan, R Jha, Y Liu Structural Safety 33 (3), 242-249, 2011 | 103 | 2011 |
| A probabilistic crack size quantification method using in-situ Lamb wave test and Bayesian updating J Yang, J He, X Guan, D Wang, H Chen, W Zhang, Y Liu Mechanical Systems and Signal Processing 78, 118-133, 2016 | 101 | 2016 |
| A multi-feature integration method for fatigue crack detection and crack length estimation in riveted lap joints using Lamb waves J He, X Guan, T Peng, Y Liu, A Saxena, J Celaya, K Goebel Smart Materials and Structures 22 (10), 105007, 2013 | 88 | 2013 |
| Structural response reconstruction based on empirical mode decomposition in time domain J He, X Guan, Y Liu Mechanical Systems and Signal Processing 28, 348-366, 2012 | 81 | 2012 |
| Equivalent surface defect model for fatigue life prediction of steel reinforcing bars with pitting corrosion J Chen, B Diao, J He, S Pang, X Guan International Journal of Fatigue 110, 153-161, 2018 | 62 | 2018 |
| An efficient analytical Bayesian method for reliability and system response updating based on Laplace and inverse first-order reliability computations X Guan, J He, R Jha, Y Liu Reliability Engineering & System Safety 97 (1), 1-13, 2012 | 53 | 2012 |
| A Fatigue Crack Size Evaluation Method Based on Lamb Wave Simulation and Limited Experimental Data J He, Y Ran, B Liu, J Yang, X Guan Sensors 17 (9), 2097, 2017 | 49 | 2017 |
| Probabilistic fatigue damage prognosis using maximum entropy approach X Guan, R Jha, Y Liu Journal of intelligent manufacturing 23, 163-171, 2012 | 49 | 2012 |
| Maximum relative entropy-based probabilistic inference in fatigue crack damage prognostics X Guan, A Giffin, R Jha, Y Liu Probabilistic engineering mechanics 29, 157-166, 2012 | 41 | 2012 |
| Probabilistic modeling and sizing of embedded flaws in ultrasonic non-destructive inspections for fatigue damage prognostics and structural integrity assessment X Guan, J Zhang, S Zhou, EM Rasselkorde, W Abbasi Ndt & E International 61, 1-9, 2014 | 39 | 2014 |
| Comparison of two probabilistic fatigue damage assessment approaches using prognostic performance metrics X Guan, Y Liu, R Jha, A Saxena, J Celaya, K Geobel International Journal of Prognostics and Health Management 1 (005), 2011 | 35 | 2011 |
| A model assessment method for predicting structural fatigue life using Lamb waves D Wang, J He, X Guan, J Yang, W Zhang Ultrasonics 84, 319-328, 2018 | 33 | 2018 |
| Lamb wave damage quantification using GA-based LS-SVM F Sun, N Wang, J He, X Guan, J Yang Materials 10 (6), 648, 2017 | 32 | 2017 |
| Three dimensional crack propagation through mesh-based explicit representation for arbitrarily shaped cracks using the extended finite element method X Ren, X Guan Engineering Fracture Mechanics 177, 218-238, 2017 | 31 | 2017 |
| A Lamb wave quantification model for inclined cracks with experimental validation HE Jingjing, HUO Haode, G Xuefei, Y Jinsong Chinese Journal of Aeronautics 34 (2), 601-611, 2021 | 30 | 2021 |
| A Bayesian fusion method for composite damage identification using Lamb wave H Huo, J He, X Guan Structural Health Monitoring 20 (5), 2337-2359, 2021 | 25 | 2021 |
| Probabilistic fatigue life prediction and structural reliability evaluation of turbine rotors integrating an automated ultrasonic inspection system X Guan, J He, EM Rasselkorde, J Zhang, WA Abbasi, SK Zhou Journal of Nondestructive Evaluation 33, 51-61, 2014 | 25 | 2014 |
| Material damage diagnosis and characterization for turbine rotors using three-dimensional adaptive ultrasonic NDE data reconstruction techniques X Guan, J Zhang, EM Rasselkorde, WA Abbasi, SK Zhou Ultrasonics 54 (2), 516-525, 2014 | 25 | 2014 |
| Improve the accuracy of asymptotic approximation in reliability problems involving multimodal distributions J He, X Guan, R Jha IEEE Transactions on Reliability 65 (4), 1724-1736, 2016 | 21 | 2016 |
| Maximum entropy approach to reliability YM Du, YH Ma, YF Wei, X Guan, CP Sun Physical Review E 101 (1), 012106, 2020 | 20 | 2020 |
Jingjing HeBeihang UniversityVerified email at buaa.edu.cn
