Chenzhao (Chris) Li
Chenzhao (Chris) Li
Baker Hughes Digital
Verified email at vanderbilt.edu - Homepage
TitleCited byYear
Role of calibration, validation, and relevance in multi-level uncertainty integration
C Li, S Mahadevan
Reliability Engineering & System Safety 148, 32-43, 2016
462016
An efficient modularized sample-based method to estimate the first-order Sobol׳ index
C Li, S Mahadevan
Reliability Engineering & System Safety 153, 110-121, 2016
452016
Relative contributions of aleatory and epistemic uncertainty sources in time series prediction
C Li, S Mahadevan
International Journal of Fatigue 82, 474-486, 2016
362016
A non-parametric method to determine basic probability assignment for classification problems
P Xu, X Su, S Mahadevan, C Li, Y Deng
Applied intelligence 41 (3), 681-693, 2014
322014
Dynamic Bayesian network for aircraft wing health monitoring digital twin
C Li, S Mahadevan, Y Ling, S Choze, L Wang
Aiaa Journal 55 (3), 930-941, 2017
262017
Application of conservative surrogate to reliability based vehicle design for crashworthiness
F Pan, P Zhu, W Chen, C Li
Journal of Shanghai Jiaotong University (Science) 18 (2), 159-165, 2013
122013
Optimal selection of calibration and validation test samples under uncertainty
J Mullins, C Li, S Mahadevan, A Urbina
Model Validation and Uncertainty Quantification, Volume 3, 391-401, 2014
102014
Probabilistic integration of validation and calibration results for prediction level uncertainty quantification: application to structural dynamics
J Mullins, C Li, S Sankararaman, S Mahadevan, A Urbina
AIAA Paper, 2013
102013
A dynamic Bayesian network approach for digital twin
C Li, S Mahadevan, Y Ling, L Wang, S Choze
19th AIAA Non-Deterministic Approaches Conference, 1566, 2017
92017
Global Sensitivity Analysis Using an Auxiliary Variable Approach
C Li, S Mahadeven
16th AIAA Non-Deterministic Approaches Conference, American Institute of …, 2015
82015
Uncertainty quantification and output prediction in multi-level problems
C Li, S Mahadevan
16th AIAA Non-Deterministic Approaches Conference, 0124, 2014
82014
Efficient approximate inference in Bayesian networks with continuous variables
C Li, S Mahadevan
Reliability Engineering & System Safety 169, 269-280, 2018
62018
Robust test resource allocation using global sensitivity analysis
C Li, S Mahadevan
18th AIAA Non-Deterministic Approaches Conference, 0952, 2016
62016
Uncertainty quantification using multi-level calibration and validation data
J Mullins, C Li, S Sankararaman, S Mahadevan, A Urbina
54th AIAA/ASME/ASCE/AHS/ASC Structures, Structural Dynamics, and Materials …, 2013
62013
Sensitivity Analysis for Test Resource Allocation
C Li, S Mahadevan
Model Validation and Uncertainty Quantification, Volume 3, 143-150, 2015
42015
钢制车轮弯曲疲劳寿命的影响因素
李忱钊, 郭永进, 朱平, 孟瑾, 石磊
机械设计与研究 27 (2), 44-47, 2011
42011
Sensitivity analysis of a Bayesian network
C Li, S Mahadevan
ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part B …, 2018
32018
Robust Resource Allocation for Calibration and Validation Tests
C Li, S Mahadevan
Journal of Verification, Validation and Uncertainty Quantification 2 (2), 021004, 2017
12017
Sensitivity Analysis and Uncertainty Integration for System Diagnosis and Prognosis
C Li
Vanderbilt University, 2016
12016
Global sensitivity analysis for a Bayesian network
C Li, S Mahadevan
ASME 2016 International Design Engineering Technical Conferences and …, 2016
12016
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