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List of Journal Publications

  • M. Daigle, S. Sankararaman. Predicting Remaining Driving Time and Distance of a Planetary Rover under Uncertainty. ASME Journal of Risk and Uncertainty, Accepted for Publication.

  • S. Sankararaman, K. Goebel. Uncertainty in prognostics and systems health management. International Journal of Prognostics and Health Management, Vol 6, Special Issue on Uncertainty in Prognostics and Health Management, 2015.

  • J. Chiachio, M. Chiachio, S. Sankararaman, A. Saxena, G. Rus, K. Goebel. Condition-based prediction of time-dependent reliability in composites. Accepted for publication in the journal Reliability Engineering and System Safety, 2015.

  • S. Sankararaman. Sequential refinement of uncertainty through Bayesian inference and global sensitivity analysis. AIAA Journal of Information Systems, Vol. 12 (Special Section on Uncertainty Quantification), Pages 49-72, 2015.

  • C. Liang, S. Mahadevan, S. Sankararaman. Stochastic multidisciplinary analysis under epistemic uncertainty. ASME Journal of Mechanical Design, Vol. 137, 021404 (12 pages), 021404 (2015) (12 pages), Paper No: MD-14-1155.

  • J. Chiachio, M. Chiachio, A. Saxena, S. Sankararaman, G. Rus, K. Goebel. Bayesian model selection and parameter estimation for fatigue damage progression models in composites. International Journal of Fatigue, Volume 70, Pages 361–373, January, 2015.

  • S. Sankararaman. Significance, interpretation, and quantification of uncertainty in prognostics and remaining useful life prediction. Mechanical Systems and Signal Processing, Volumes 52 - 52, Pages 228 - 247, February 2015.

  • S. Sankararaman, M. Daigle, K. Goebel. Uncertainty quantification in remaining useful life prediction using first-order reliability methods. Accepted for Publication in the journal IEEE Transactions on Reliability, Vol. 63, No. 2, June 2014.

  • T. Peng, A. Saxena, K. Goebel, Y. Xiang, S. Sankararaman, Y. Liu. A novel Bayesian imaging method for probabilistic delamination detection of composite materials. Smart Materials and Structures. Volume 22, Issue 12, Page 125019 (9 pages), November 2013.

  • S. Sankararaman, Y. Ling, C. Shantz, S. Mahadevan. Uncertainty quantification in fatigue crack growth prognosis. International Journal of Prognostics and Health Management, Vol. 2 (1) 001, pages: 15, 2011.

  • S. Sankararaman, Y. Ling, S. Mahadevan. Uncertainty quantification and model validation of fatigue crack growth prediction, Engineering Fracture Mechanics, Volume 78, Issue 7, May 2011, Pages 1487-1504.

  • S. Sankararaman, Y. Ling, C. Shantz, S. Mahadevan. Inference of equivalent initial flaw size under multiple sources of uncertainty, International Journal of Fatigue, Volume 33, Issue 2, February 2011, Pages 75-89.

  • S. Sankararaman, Y. Ling, S. Mahadevan. Statistical inference of equivalent initial flaw size with complicated structural geometry and multi-axial variable amplitude loading, International Journal of Fatigue, Volume 32, Issue 10, October 2010, Pages 1689-1700.

List of Conference Publications

  • S. Sankararaman. Uncertainty Reduction using Bayesian Inference and Sensitivity Analysis: A Sequential Approach to the NASA Langley Uncertainty Quantification Challenge. In the Proceedings of the 2016 SciTech Conference, 18th AIAA Non-Deterministic Approaches Conference, San Diego, CA, Jan 4 - 8, 2016. Paper No. AIAA-2016- 194.

  • S. Sankararaman. Remaining Useful Life Prediction through Failure Probability Computation for Condition-based Prognostics. In the Proceedings of the 2015 Annual Conference of the Prognostics and Health Management Society, San Diego, CA, Oct 19 - 24, 2015.

  • S. Sankararaman, C. Teubert. Impact of uncertainty on the diagnostics and prognostics of a current-pressure transducer. In the Proceedings of the 2015 IEEE Aerospace Conference, Big Sky, MT, Mar 7 - 14, 2015.

  • M. Daigle, S. Sankararaman, C. Kulkarni. Stochastic prediction of remaining driving time and distance for a planetary rover. In the Proceedings of the 2015 IEEE Aerospace Conference, Big Sky, MT, Mar 7 - 14, 2015.

  • S. Sankararaman, K. Goebel. Towards characterizing the variability in the loading demands of an unmanned aerial vehicle. In the Proceedings of the 17th Non-Deterministic Approaches Conference, part of the 2015 SciTech Conference, Kissimmee, FL, Jan 5 - 9, 2015.

  • S. Sankararaman, C. Teubert, K. Goebel. Uncertainty in steady-state diagnostics of a current-pressure transducer: How confident are we in diagnosing faults? In the Proceedings of 2014 Annual Conference of the Prognostics and Health Management Society, Fort Worth, TX, USA, Sep 29 - Oct 2, 2014.

  • J. Lam, S. Sankararaman, B. Stewart. Enhanced trajectory-based similarity prediction with uncertainty quantification. In the Proceedings of 2014 Annual Conference of the Prognostics and Health Management Society, Fort Worth, TX, USA, Sep 29 - Oct 2, 2014.

  • S. Sankararaman, A. Saxena, K. Goebel. Are current prognostic performance evaluation practices sufficient and meaningful? In the Proceedings of 2014 Annual Conference of the Prognostics and Health Management Society, Fort Worth, TX, USA, Sep 29 - Oct 2, 2014.

  • J. Chiachio, M. Chiachio, S. Sankararaman, A. Saxena, K. Goebel. A robust modeling approach for fatigue damage in composites based on Bayesian model selection. In the Proceedings of the American Society for Composites 29th Technical Conference, the 16th US-Japan Conference on Composite Materials, and the ASTM-D30 Meeting, San Diego, CA, USA, Sep 8 - 11, 2014.

  • M. Chiachio, J. Chiachio, S. Sankararaman, A. Saxena, K. Goebel. Predicting remaining useful life in CRFP laminates under fatigue loads: a new efficient algorithm. In the Proceedings of the American Society for Composites 29th Technical Conference, the 16th US-Japan Conference on Composite Materials, and the ASTM-D30 Meeting, San Diego, CA, USA, Sep 8 - 11, 2014.

  • A. Saxena, S. Sankararaman, K. Goebel. Performance evaluation for fleet-based and unit-based prediction Methods. In the Proceedings of the 2nd European Conference of the Prognostics and Health Management Society, Nantes, France, July 8 -10, 2014.

  • S. Sankararaman, K. Goebel. Uncertainty in Prognostics and Health Management: An Overview. In the Proceedings of the 2nd European Conference of the Prognostics and Health Management Society, Nantes, France, July 8 -10, 2014.

  • S. Sankararaman, K. Goebel. Significance of Uncertainty Quantification in Prognostics and Health Monitoring. In the Proceedings of the 2014 Machinery Failure Prevention Technology (MFPT) conference, Virginia Beach, May 20 – 22, 2014.

  • S. Sankararaman, K. Goebel. Uncertainty in Prognostics: Computational Methods and Practical Challenges. In the Proceedings of the 2014 IEEE Aerospace Conference, Big Sky, MT, Mar 1 - 8, 2014.

  • S. Sankararaman, K. Goebel. An Uncertainty Quantification Framework for Prognostics and Condition-Based Monitoring. In the Proceedings of the 16th AIAA Non-Deterministic Approaches Conference co-located with the 2014 AIAA SciTech Conference, National Harbor, MD, Jan 13 – 17, 2014. Paper No. AIAA-2014-0480.

  • S. Sankararaman, K. Goebel. A novel computational methodology for uncertainty quantification in prognostics using the most probable point concept. In the Proceedings of 2013 Annual Conference of the Prognostics and Health Management Society, New Orleans, LA, USA, Oct 14 - 17, 2013.

  • S. Sankararaman, K. Goebel. Why is the remaining useful life prediction uncertain? In the Proceedings of 2013 Annual Conference of the Prognostics and Health Management Society, New Orleans, LA, USA, Oct 14 - 17, 2013.

  • M. Daigle, S. Sankararaman. Advanced methods for determining prediction uncertainty in model-based prognostics with application to planetary rovers. In the Proceedings of 2013 Annual Conference of the Prognostics and Health Management Society, New Orleans, LA, USA, Oct 14 - 17, 2013.

  • T. Peng, A. Saxena, K. Goebel, S. Sankararaman, Y. Xiang, Y. Liu. Probabilistic delamination diagnosis of composite materials using a novel Bayesian imaging Method. In the Proceedings of 2013 Annual Conference of the Prognostics and Health Management Society, New Orleans, LA, USA, Oct 14 - 17, 2013.

  • S. Sankararaman, K. Goebel. Remaining useful life estimation in prognostics: An uncertainty propagation problem. In the Proceedings of the 2013 AIAA Infotech@Aerospace Conference, co-located with the AIAA Aerospace Sciences – Flight Sciences and Information Systems Event, Boston, MA, USA, Aug 19 - 22, 2013.

  • S. Sankararaman, K. Goebel. Uncertainty quantification in remaining useful life of aerospace components using state space models and inverse FORM. In the Proceedings of the 15th Non-Deterministic Approaches Conference co-located with the 54th AIAA/ASME/ASCE/AHS/ASC Structures, Structural Dynamics and Materials Conference, Boston, MA, April 8 – 11, 2013. Paper No. AIAA-2013-1537.

  • S. Sankararaman, M. Daigle, K. Goebel. Analytical algorithms to quantify the uncertainty in remaining useful life prediction. In the Proceedings of the 2013 IEEE Aerospace Conference. Big Sky, MT. Mar 3 – 8, 2013.

  • M. Daigle, A. Saxena, and K. Goebel, "An Efficient Deterministic Approach to Model-based Prediction Uncertainty Estimation," Annual Conference of the Prognostics and Health Management Society 2012, pp. 326-335, September 2012.

List of Book Chapters

  • S. Sankararaman, S. Mahadevan. Likelihood-Based Approach for Uncertainty Quantification in Multi-Physics Systems, published in the book “Numerical Methods for Reliability and Safety Assessment in Multiscale and Multyphysics Systems” edited by S. Kadry and A.E. Hami, Springer, NY, 2014.

  • S. Sankararaman, S. Mahadevan. Bayesian Methodology for Uncertainty Quantification in Complex Engineering Systems, published in the book “Numerical Methods for Reliability and Safety Assessment in Multiscale and Multiphysics Systems” edited by S. Kadry and A.E. Hami, , Springer, NY, 2014.

  • S. Sankararaman. Structural Seismic Reliability Analysis. Published in "Encyclopedia of Earthquake Engineering", edited by M. Beer, I.A. Kougioumtzoglou, E. Patelli, I.S.K. Au. Springer Berlin Heidelberg, 2015.

  • S. Sankararaman. S. Mahadevan. Uncertainty Quantification in Structural Health Monitoring. Published in "Encyclopedia of Earthquake Engineering", edited by M. Beer, I.A. Kougioumtzoglou, E. Patelli, I.S.K. Au. Springer Berlin Heidelberg, 2015.

  • S. Sankararaman. S. Mahadevan. Statistical Approach to Structural Damage Diagnosis under Uncertainty. Published in "Emerging Design Solutions in Structural Health Monitoring Systems", edited by Diego Alexander Tibaduiza Burgos, Luis Eduardo Mujica, and Jose Rodellar.IGI Global, 2015.

  • S. Sankararaman. S. Mahadevan. Fatigue Crack Growth Analysis and Damage Prognosis in Structures. Published in "Emerging Design Solutions in Structural Health Monitoring Systems", edited by Diego Alexander Tibaduiza Burgos, Luis Eduardo Mujica, and Jose Rodellar.IGI Global, 2015.

  • J. Chiachio, M. Chiachio, S. Sankararaman, A. Saxena, K. Goebel. Prognostics Design for Structural Health Management. Published in "Emerging Design Solutions in Structural Health Monitoring Systems", edited by Diego Alexander Tibaduiza Burgos, Luis Eduardo Mujica, and Jose Rodellar.IGI Global, 2015.

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