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PCoE Seminal Publications

Journal Publications (PCoE Primary)

  1. A Generic Software Architecture for Prognostics (GSAP)
    C. Teubert, M. J. Daigle, S. Sankararaman, K. Goebel, and J. Watkins, International Journal of Prognostics and Health Management, Vol. 8 No. 13, 26 pages, September 2017. abstract | pdf
  2. Significance, interpretation, and quantification of uncertainty in prognostics and remaining useful life prediction
    S. Sankararaman, Mechanical Systems and Signal Processing, Vol. 52-53 , 228-247, Feb 2015. abstract | pdf
  3. Uncertainty in Prognostics and Systems Health Management
    S. Sankararaman and K. Goebel, International Journal of Prognostics and Health Management, 14 pages, 2015. abstract | pdf
  4. Uncertainty Quantification in Remaining Useful Life Prediction using First-Order Reliability Methods
    S. Sankararaman, M. Daigle, and K. Goebel, IEEE, Transactions on Reliability, Vol. 63 No. 2, 603-619, June 2014. abstract | pdf
  5. Bayesian Framework Approach for Prognostic Studies in Electrolytic Capacitor under Thermal Overstress Conditions
    C. S. Kulkarni, J. R. Celaya, G. Biswas, and K. Goebel, International Journal of Prognostics and Health Management, Vol. 4 No. 1, May 2013. abstract | pdf
  6. Metrics for Offline Evaluation of Prognostic Performance
    A Saxena, J Celaya, B Saha, S Saha, and K Goebel, International Journal of Prognostics and Health Management, Vol. 1 No. 1, January 2010. abstract | pdf
  7. Prognostics in Battery Health Management
    K. Goebel, B. Saha, A. Saxena, J. Celaya, and J. Christophersen, I&M Magazine, Vol. 11 No. 4, 33-40, 2008. abstract | pdf

Book Chapters (PCoE Primary)

  1. K. Goebel, M. Daigle, A. Saxena, S. Sankararaman, I. Roychoudhury, and J. Celaya, Prognostics: The Science of Prediction, 2017. pdf
  2. Prognostics
    K. Goebel, G. Vachtsevanos, and M. Orchard, IVHM: The Technology, Ed.: I. Jennions, SAE International, R-429, ISBN of 978-0-7680-7952-4, Chapter 4, 48-70, 2013. pdf
  3. IVHM Assessment Metrics
    A. Saxena and M. Roemer, Integrated Vehicle Health Management: The Technology, Ed.: I. Jennions, SAE International, R-429, ISBN of 978-0-7680-7952-4, Chapter 5, 71-86, 2013.


Conference Papers (PCoE Primary)

  1. An Uncertainty Quantification Framework for Prognostics and Condition-based Monitoring
    S. Sankararaman and K. Goebel, Proceedings of AIAA SciTech Conference, National Harbor, MD, Janurary 2014. abstract | pdf
  2. A Structural Model Decomposition Framework for Systems Health Management
    I. Roychoudhury, M. Daigle, A. Bregon, and B. Pulido, Proceedings of IEEE Aerospace Conference, Big Sky, MT, March 2013. abstract | pdf
  3. Distilling the Verification Process for Prognostics Algorithms
    I. Roychoudhury, A. Saxena, J. Celaya, and K. Goebel, Proceedings of Annual Conference of the Prognostics and Health Management Society, New Orleans, LA, October 2013. abstract | pdf
  4. Electrochemistry-based Battery Modeling for Prognostics
    M. Daigle and C. Kulkarni, Proceedings of Annual Conference of the Prognostics and Health Management Society, New Orleans, LA, 249-261, October 2013. abstract | pdf
  5. Optimizing Battery Life for Electric UAVs using a Bayesian Framework
    B. Saha, P. Quach, and K. Goebel, Proceedings of IEEE Aerospace Conference, Big Sky, MT, March 2012. abstract | pdf
  6. Exploring the Model Design Space for Battery Health Management
    B. Saha, P. Quach, and K. Goebel, Proceedings of IEEE AUTOTESTCON, Baltimore, MD, September 2011. abstract | pdf
  7. Distributed Damage Estimation for Prognostics Based on Structural Model Decomposition
    M. Daigle, A. Bregon, and I. Roychoudhury, Proceedings of Annual Conference of the Prognostics and Health Management Society, Montreal, Canada, 198-208, September 2011. abstract | pdf
  8. Investigating the Effect of Damage Progression Model Choice on Prognostics Performance
    M. Daigle, I. Roychoudhury, S. Narasimhan, S. Saha, B. Saha, and K. Goebel, Proceedings of Annual Conference of the Prognostics and Health Management Society, Montreal, Canada, 323-333, September 2011. abstract | pdf
  9. Multiple Damage Progression Paths in Model-based Prognostics
    M. Daigle and K. Goebel, Proceedings of IEEE Aerospace Conference, Big Sky, MT, March 2011. abstract | pdf
  10. Prognostics for Ground Support Systems: Case Study on Pneumatic Valves
    M. Daigle and K. Goebel, Proceedings of AIAA Infotech@Aerospace Conference, St. Louis, MO, March 2011. abstract | pdf
  11. Model-based Prognostics under Limited Sensing
    M. Daigle and K. Goebel, Proceedings of IEEE Aerospace Conference, Big Sky, MT, March 2010. abstract | pdf
  12. Effects Of Lightning Injection On Power-MOSFETs
    J. Celaya, S. Saha, P. Wyscoki, J. J. Ely, N. Truong, G. N. Szatkowski, S. V. Koppen, J. J. Mielnik, R. K. Vaughan, and K. Goebel, Proceedings of Annual Conference of the Prognostics and Health Management Society, San Diego, CA, September 2009. abstract | pdf
  13. Effect of Electrostatic Discharge on Electrical Characteristics of Discrete Electronic Components (Technical Brief)
    P. Wysocki, V. Vashchenko, J. Celaya, S. Saha, and K. Goebel, Proceedings of Annual Conference of the Prognostics and Health Management Society, San Diego, CA, September 2009.
  14. Metrics for Evaluating Performance of Prognostic Techniques
    A. Saxena, J. Celaya, E. Balaban, K. Goebel, B. Saha, S. Saha, and M. Schwabacher, Proceedings of International Conference on Prognostics and Health Management, 1-17, 2008. abstract | pdf
  15. Standardizing Research Methods for Prognostics
    S. Uckun, P. Lucas, and K. Goebel, Proceedings of International Conference on Prognostics and Health Management, 2008.
  16. A Comparison of Three Data-driven Techniques for Prognostics
    K. Goebel, B. Saha, and A. Saxena, Proceedings of MFPT, 2008.
  17. A Framework for Systematic Benchmarking of Monitoring and Diagnostic Systems
    T. Kurtoglu, O. Mengshoel, and S. Poll, Proceedings of International Conference on Prognostics and Health Management, 2008. abstract | pdf
  18. A Survey of Artificial Intelligence for Prognostics
    M. Schwabacher and K. Goebel, Proceedings of AAAI Fall Symposium: AI for Prognostics (Working Notes), 2007.

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