S. Sankararaman

发表

Probabilistic delamination diagnosis of composite materials using a novel Bayesian imaging method

Y. Xiang, Yongming Liu, K. Goebel, 2013 .

Uncertainty Quantification in Fatigue Crack Growth Prognosis

Sankaran Mahadevan, You Ling, Shankar Sankararaman, 2011 .

Bayesian model selection and parameter estimation for fatigue damage progression models in composites

K. Goebel, A. Saxena, J. Chiachío, 2015 .

Model parameter estimation with imprecise and unpaired data

S. Mahadevan, S. Sankararaman, 2012 .

Analysis of two modeling approaches for fatigue estimation and remaining useful life predictions of wind turbine blades

K. Goebel, S. Frost, V. Puig, 2016 .

Remaining Useful Life Prediction through Failure Probability Computation for Condition-based Prognostics

Shankar Sankararaman, S. Sankararaman, 2015 .

Uncertainty Quantification in Fatigue Damage Prognosis

Sankaran Mahadevan, You Ling, Shankar Sankararaman, 2009 .

Uncertainty in Prognostics and Systems Health Management

Kai Goebel, Shankar Sankararaman, K. Goebel, 2020 .

Uncertainty in Prognostics and Health Management : An Overview

Kai Goebel, Shankar Sankararaman, K. Goebel, 2014 .

Uncertainty Quantification and Model Validation under Epistemic Uncertainty due to Sparse and Imprecise Data

S. Mahadevan, S. Sankararaman, 2011 .

Probabilistic Integration of Validation and Calibration Results for Prediction Level Uncertainty Quantification: Application to Structural Dynamics

Sankaran Mahadevan, Chenzhao Li, Angel Urbina, 2013 .

Likelihood-Based Approach for Uncertainty Quantification in Multi-Physics Systems

S. Mahadevan, S. Sankararaman, 2015 .

A novel Bayesian imaging method for probabilistic delamination detection of composite materials

Kai Goebel, Abhinav Saxena, Yibing Xiang, 2013 .

Chiachío, Juan and Chiachío, Manuel and Sankararaman, Shankar and Prescott, Darren (2018) A Bayesian assessment of an approximate model for unconfined water flow in sloping layered porous media. Transport in Porous

J. Chiachío, M. Chiachío, S. Sankararaman, 2018 .

Uncertainty Quantification in Structural Health Monitoring

S. Mahadevan, S. Sankararaman, 2009 .

Real-Time Prediction of Safety Margins in the National Airspace

Matthew Daigle, Kai Goebel, Indranil Roychoudhury, 2017 .

A neural network filtering approach for similarity-based remaining useful life estimation

K. Goebel, S. Sankararaman, J. Jones, 2018, The International Journal of Advanced Manufacturing Technology.

Prognostics Design for Structural Health Management

Juan Chiachio, Manuel Chiachio, Kai Goebel, 2015 .

Uncertainty quantification and integration in engineering systems

Shankar Sankararaman, S. Sankararaman, 2012 .

Minimizing hydrocarbon release from offshore piping by performing probabilistic fatigue life assessment

R. M. Chandima Ratnayake, Arvind Keprate, Shankar Sankararaman, 2017 .

Test Resource Allocation in Hierarchical Systems Using Bayesian Networks

Sankaran Mahadevan, Lee Peterson, Samuel Case Bradford, 2013 .

A new algorithm for prognostics using Subset Simulation

Juan Chiachio, Manuel Chiachio, John D. Andrews, 2017, Reliab. Eng. Syst. Saf..

Structural Seismic Reliability Analysis

Shankar Sankararaman, S. Sankararaman, 2015 .

Comparison of Various Surrogate Models to Predict Stress Intensity Factor of a Crack Propagating in Offshore Piping

R. M. Chandima Ratnayake, Arvind Keprate, Shankar Sankararaman, 2017 .

Separating the contributions of variability and parameter uncertainty in probability distributions

Sankaran Mahadevan, Shankar Sankararaman, S. Mahadevan, 2013, Reliab. Eng. Syst. Saf..

Dynamic Routing of Aircraft in the Presence of Adverse Weather Using a POMDP Framework

Chetan S. Kulkarni, Edward Balaban, Lilly Spirkovska, 2017 .

Significance, interpretation, and quantification of uncertainty in prognostics and remaining useful life prediction

Shankar Sankararaman, S. Sankararaman, 2015 .

Why is the Remaining Useful Life Prediction Uncertain

Kai Goebel, Shankar Sankararaman, K. Goebel, 2013 .

Fatigue Crack Growth Analysis and Damage Prognosis in Structures

Sankaran Mahadevan, You Ling, Shankar Sankararaman, 2015 .

Uncertainty quantification and model validation of fatigue crack growth prediction

Sankaran Mahadevan, You Ling, Shankar Sankararaman, 2011 .

Resilience-based network design under uncertainty

Sankaran Mahadevan, Kai Goebel, Xiaoge Zhang, 2018, Reliab. Eng. Syst. Saf..

Stochastic Multidisciplinary Analysis Under Epistemic Uncertainty

Sankaran Mahadevan, Chen Liang, Chen Liang, 2015 .

Likelihood-Based Approach to Multidisciplinary Analysis Under Uncertainty

Sankaran Mahadevan, Shankar Sankararaman, S. Mahadevan, 2012 .

Bayesian methodology for diagnosis uncertainty quantification and health monitoring

Sankaran Mahadevan, Shankar Sankararaman, S. Mahadevan, 2013 .

Uncertainty Reduction using Bayesian Inference and Sensitivity Analysis: A Sequential Approach to the NASA Langley Uncertainty Quantification Challenge

Shankar Sankararaman, S. Sankararaman, 2016 .

Sequential Refinement of Uncertainty Through Bayesian Inference and Global Sensitivity Analysis

Shankar Sankararaman, S. Sankararaman, 2015, J. Aerosp. Inf. Syst..

Integration of model verification, validation, and calibration for uncertainty quantification in engineering systems

Sankaran Mahadevan, Shankar Sankararaman, S. Mahadevan, 2015, Reliab. Eng. Syst. Saf..

Likelihood-based representation of epistemic uncertainty due to sparse point data and/or interval data

Sankaran Mahadevan, Shankar Sankararaman, S. Mahadevan, 2011, Reliab. Eng. Syst. Saf..

Condition-based prediction of time-dependent reliability in composites

Juan Chiachio, Manuel Chiachio, Kai Goebel, 2015, Reliab. Eng. Syst. Saf..

Model validation under epistemic uncertainty

Sankaran Mahadevan, Shankar Sankararaman, S. Mahadevan, 2011, Reliab. Eng. Syst. Saf..

Multilevel Uncertainty Integration

Chenzhao Li, Sankaran Mahadevan, Shankar Sankararaman, 2016 .

Bayesian Methodology for Uncertainty Quantification in Complex Engineering Systems

Sankaran Mahadevan, Shankar Sankararaman, S. Mahadevan, 2015 .

Forecasting fault events for predictive maintenance using data-driven techniques and ARMA modeling

Ivo Paixao de Medeiros, Cairo L. Nascimento, Helmut Prendinger, 2018, Comput. Ind. Eng..

Stochastic prediction of fatigue loading using real-time monitoring data

You Ling, Sankaran Mahadevan, Shankar Sankararaman, 2011 .

Uncertainty Quantification in Remaining Useful Life Prediction Using First-Order Reliability Methods

Kai Goebel, Matthew J. Daigle, Shankar Sankararaman, 2014, IEEE Trans. Reliab..

A neural network filtering approach for similarity-based remaining useful life estimation

Kai Goebel, Indranil Roychoudhury, Oguz Bektas, 2018, The International Journal of Advanced Manufacturing Technology.

Methodologies for system-level remaining useful life prediction

Gautam Biswas, Hamed Khorasgani, Shankar Sankararaman, 2016, Reliab. Eng. Syst. Saf..

Assessing the Reliability of Computational Models under Uncertainty

Sankaran Mahadevan, Shankar Sankararaman, S. Mahadevan, 2013 .

A Bayesian Assessment of an Approximate Model for Unconfined Water Flow in Sloping Layered Porous Media

Darren Prescott, Manuel Chiachío, Juan Chiachío, 2018, Transport in Porous Media.

Inference of equivalent initial flaw size under multiple sources of uncertainty

Sankaran Mahadevan, You Ling, Shankar Sankararaman, 2011 .

Statistical inference of equivalent initial flaw size with complicated structural geometry and multi-axial variable amplitude loading

Sankaran Mahadevan, You Ling, Shankar Sankararaman, 2010 .

Comprehensive Framework for Integration of Calibration, Verification and Validation

Sankaran Mahadevan, Shankar Sankararaman, S. Mahadevan, 2012 .

Uncertainty quantification in structural damage diagnosis

Sankaran Mahadevan, Shankar Sankararaman, S. Mahadevan, 2011 .

Statistical Approach to Structural Damage Diagnosis under Uncertainty

Sankaran Mahadevan, Shankar Sankararaman, S. Mahadevan, 2015 .

Adaptive Gaussian process regression as an alternative to FEM for prediction of stress intensity factor to assess fatigue degradation in offshore pipeline

R. M. Chandima Ratnayake, Arvind Keprate, Shankar Sankararaman, 2017 .

Concepts of Airspace Structures and System Analysis for UAS Traffic flows for Urban Areas

Vahram Stepanyan, Corey A. Ippolito, Dae-Sung Jang, 2017 .

Impact of uncertainty on the diagnostics and prognostics of a Current-Pressure transducer

Shankar Sankararaman, Christopher Teubert, S. Sankararaman, 2015, 2015 IEEE Aerospace Conference.

Preliminary Investigation of Impact of Technological Impairment on Trajectory-Based Operations

Kai Goebel, Indranil Roychoudhury, Shankar Sankararaman, 2017 .

Analytical algorithms to quantify the uncertainty in remaining useful life prediction

K. Goebel, S. Sankararaman, M. Daigle, 2013, 2013 IEEE Aerospace Conference.

A novel Bayesian imaging method for probabilistic delamination detection of composite materials

Kai Goebel, Abhinav Saxena, Yibing Xiang, 2013 .

A Generic Software Architecture for Prognostics (GSAP)

K. Goebel, M. Daigle, S. Sankararaman, 2017, International journal of prognostics and health management.

(2018) A Bayesian assessment of an approximate model for unconfined water flow in sloping layered porous media. Transport in Porous Media . ISSN 1573-1634

J. Chiachío, M. Chiachío, S. Sankararaman, 2018 .

A Modeling, Simulation and Control Framework for Small Unmanned Multicopter Platforms in Urban Environments

Vahram Stepanyan, Corey A. Ippolito, Shankar Sankararaman, 2018 .

Confidence assessment in model-based structural health monitoring

Sankaran Mahadevan, You Ling, Shankar Sankararaman, 2011, 2011 Aerospace Conference.

Computational architecture for autonomous decision-making in unmanned aerial vehicles

Kai Goebel, Shankar Sankararaman, K. Goebel, 2018, Defense + Security.

Uncertainty in prognostics: Computational methods and practical challenges

Kai Goebel, Shankar Sankararaman, K. Goebel, 2014, 2014 IEEE Aerospace Conference.

Remaining Useful Life Estimation in Prognosis: An Uncertainty Propagation Problem

Kai Goebel, Shankar Sankararaman, K. Goebel, 2013 .

Predicting Remaining Driving Time and Distance of a Planetary Rover Under Uncertainty

Shankar Sankararaman, Matthew Daigle, M. Daigle, 2016 .