مقاله‌های دارای تعهدات انتشار عمومی - Shankar Sankararamanبیشتر بدانید
جای دیگری دردسترس نیست: ۲
Impact of uncertainty on the diagnostics and prognostics of a Current-Pressure transducer
S Sankararaman, C Teubert
2015 IEEE Aerospace Conference, 1-10, 2015
تعهدات: US National Aeronautics and Space Administration
Sequential Refinement of Uncertainty Through Bayesian Inference and Global Sensitivity Analysis
S Sankararaman
Journal of Aerospace Information Systems 12 (1), 49-72, 2015
تعهدات: US National Aeronautics and Space Administration
جای دیگری دردسترس است: ۴۴
Significance, interpretation, and quantification of uncertainty in prognostics and remaining useful life prediction
S Sankararaman
Mechanical Systems and Signal Processing 52, 228-247, 2015
تعهدات: US National Aeronautics and Space Administration
Resilience-based network design under uncertainty
X Zhang, S Mahadevan, S Sankararaman, K Goebel
Reliability Engineering & System Safety 169, 364-379, 2018
تعهدات: US Department of Defense
Integration of model verification, validation, and calibration for uncertainty quantification in engineering systems
S Sankararaman, S Mahadevan
Reliability Engineering & System Safety 138, 194-209, 2015
تعهدات: US Department of Energy
Concepts of Airspace Structures and System Analysis for UAS Traffic flows for Urban Areas
DS Jang, CA Ippolito, S Sankararaman, V Stepanyan
AIAA Information Systems-AIAA Infotech@ Aerospace, 0449, 2017
تعهدات: US National Aeronautics and Space Administration
A neural network filtering approach for similarity-based remaining useful life estimation
O Bektas, JA Jones, S Sankararaman, I Roychoudhury, K Goebel
The International Journal of Advanced Manufacturing Technology 101 (1), 87-103, 2019
تعهدات: US National Aeronautics and Space Administration
Condition-based prediction of time-dependent reliability in composites
J Chiachío, M Chiachío, S Sankararaman, A Saxena, K Goebel
Reliability Engineering & System Safety 142, 134-147, 2015
تعهدات: US National Aeronautics and Space Administration, Government of Spain
Uncertainty in prognostics and systems health management
S Sankararaman, K Goebel
International journal of prognostics and health management 6 (4), 2015
تعهدات: US National Aeronautics and Space Administration
Methodologies for system-level remaining useful life prediction
H Khorasgani, G Biswas, S Sankararaman
Reliability Engineering & System Safety 154, 8-18, 2016
تعهدات: US National Aeronautics and Space Administration
Bayesian model selection and parameter estimation for fatigue damage progression models in composites
J Chiachío, M Chiachío, A Saxena, S Sankararaman, G Rus, K Goebel
International Journal of Fatigue 70, 361-373, 2015
تعهدات: US National Aeronautics and Space Administration, Government of Spain
Adaptive Gaussian process regression as an alternative to FEM for prediction of stress intensity factor to assess fatigue degradation in offshore pipeline
A Keprate, RMC Ratnayake, S Sankararaman
International Journal of Pressure Vessels and Piping 153, 45-58, 2017
تعهدات: US National Aeronautics and Space Administration
A new algorithm for prognostics using Subset Simulation
M Chiachío, J Chiachío, S Sankararaman, K Goebel, J Andrews
Reliability Engineering & System Safety 168, 189-199, 2017
تعهدات: US National Aeronautics and Space Administration
Stochastic multidisciplinary analysis under epistemic uncertainty
C Liang, S Mahadevan, S Sankararaman
Journal of Mechanical Design 137 (2), 021404, 2015
تعهدات: US National Aeronautics and Space Administration
Safe Autonomous Flight Environment (SAFE50) for the Notional Last “50 ft” of Operation of “55 lb” Class of UAS
KS Krishnakumar, PH Kopardekar, CA Ippolito, J Melton, V Stepanyan, ...
AIAA Information Systems-AIAA Infotech@ Aerospace, 0445, 2017
تعهدات: US National Aeronautics and Space Administration
Comparison of various surrogate models to predict stress intensity factor of a crack propagating in offshore piping
A Keprate, RM Chandima Ratnayake, S Sankararaman
Journal of Offshore Mechanics and Arctic Engineering 139 (6), 2017
تعهدات: US National Aeronautics and Space Administration, Government of Argentina
Real-time monitoring and prediction of airspace safety
I Roychoudhury, L Spirkovska, M Daigle, E Balaban, S Sankararaman, ...
تعهدات: US National Aeronautics and Space Administration
Towards a computational framework for autonomous decision-making in unmanned aerial vehicles
S Sankararaman
AIAA Information Systems-AIAA Infotech@ Aerospace, 0446, 2017
تعهدات: US National Aeronautics and Space Administration
Uncertainty Quantification in Trajectory Prediction for Aircraft Operations
S Sankararaman, M Daigle
AIAA Guidance, Navigation, and Control Conference, 1724, 2017
تعهدات: US National Aeronautics and Space Administration
Analysis of two modeling approaches for fatigue estimation and remaining useful life predictions of wind turbine blades
H Sanchez, S Sankararaman, T Escobet, S Frost, K Goebel
PHM Society European Conference 3 (1), 2016
تعهدات: Government of Spain
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