NASA Logo, National Aeronautics and Space Administration

Bio

Academic Background

  • PhD (2007), Georgia Institute of Technology, Atlanta GA
  • MS (2003), Georgia Institute of Technology, Atlanta GA
  • BTech (2001), Indian Institute of Technology Delhi, India

IJPHM : International Journal of Prognostics and Health Management

Research Interests

Publications

To download click here
Citations Record

Patents

  1. Saha, B., Goebel, K., Saxena, A., Celaya, J., “Decomposition Technique for Remaining Useful Life Prediction” Application Serial. No., 12/454,024, Filed: May 05 2009.

Journal Publications

  1. He, J., Guan, X., Peng, T., Liu, Y., Saxena, A., Celaya, J., Goebel, K., "A multi-feature integration method for fatigue crack detection and crack length estimation in riveted lap joints using Lamb waves", Smart Materials and Structures 22 (2013) (12pp)[Download]
  2. DaSilva, J., Saxena, A., Balaban, E., Goebel, K., “A Knowledge-Based System Approach for Sensor Fault Modeling, Detection and Mitigation” Journal of Expert Systems with Applications by Elsevier Science 39(2012), pages: 10977–10989 [Download]
  3. Saxena, A., Celaya, J., Saha, B., Saha, S., Goebel, K., “Metrics for Offline Evaluation of Prognostics Performance”, International Journal of Prognostics and Health Management (IJPHM), vol.1(1) 001, pages: 20, 2010. [Download]
  4. Guan, X., Jha, R., Liu, Y., Saxena, A.., Celaya, J., Goebel, K., “Comparison of Two Probabilistic Fatigue Damage Assessment Approaches Using Prognostic Performance Metrics”, International Journal of the Prognostics and Health Management, vol.2(1) 005, pages: 11 , 2011. [Download]
  5. Balaban, E., Saxena, A.., Bansal, P., Goebel, K., and Curran, S., “Modeling, Detection, and Disambiguation of Sensor Faults for Aerospace Applications”, IEEE Sensors Journal Vol 9(12), Dec. 2009. [Download]
  6. Zhang, B., Khawaja, T., Patrick, R., Vachtsevanos, G.J., Orchard, M.E., and Saxena, A.,“Application of Blind Deconvolution Denoising in Failure Prognosis”, IEEE Transactions on Instrumentation and Measurement, Vol. 58, Issue. 2, pp. 303-310, 2009.
  7. Saxena, A.., Saad, A.," Evolving an Artificial Neural Network Classifier for Condition Monitoring of Rotating Mechanical Systems", Applied Soft Computing, Volume 7, Issue 1, January 2007, Pages 441-454.
  8. Zhang, B., Khawaja, T., Patrick, R., Vachtsevanos, G.J., Orchard, M.E., and Saxena, A., “A Novel Blind De-convolution De-Noising Scheme in Failure Prognosis”, Transactions of the Institute of Measurement & Control, Vol. 32, Issue. 1, pp. 3-30, 2010.

Book Chapters & Magazine Articles

  1. Saxena, A., Roemer, M., “IVHM Assessment Metrics”, in Integrated Vehicle Health Management: The Technology, published by SAE International, edited by series editor, Ian K. Jennions (2013).
  2. Goebel, K, Saxena, A., Celaya, J., Saha, B., Saha, S., “Prognostics Performance Metrics”, in Data Mining in Systems Health Management: Detection, Diagnostics, and Prognostics published by Chapman & Hall/CRC Press as a part of the Chapman & Hall/CRC Data Mining and Knowledge Discovery book series, edited by series editor, Prof. Vipin Kumar.
  3. Saxena, A., A. Saad, “Genetic Algorithms for Artificial Neural Net-based Condition Monitoring System Design for Rotating Mechanical Systems”, Advances in Soft Computing, in Applied Soft Computing Technologies: The Challenge of Complexity, Springer Berlin/Heidelberg, Vol. 34, pp. 135-149, 2006. [Download]
  4. Zhang, B., Khawaja, T., Patrick, R., Vachtsevanos, G.J., Orchard, M.E., and Saxena, A.., “A Novel Blind Deconvolution De-Noising Scheme in Failure Prognosis, International Series on Microprocessor-Based and Intelligent Systems Engineering”, Applications of Intelligent Control to Engineering Systems Vol. 39, Springer Netherlands, pp 37-63, 2009.
  5. Zhang, B., Khawaja, T., Patrick, R., Vachtsevanos, G.J., Orchard, M.E., and Saxena, A.,“Application of Blind Deconvolution Denoising in Failure Prognosis”, book chapter#3 in “Applications of Intelligent Control to Engineering Systems”, Ed. K. Valavanis, Springer, 2009.
  6. Goebel, K., Saha,B., Saxena, A., Celaya, J. R. , Christopherson, J. P., "Prognostics in Battery Health Management", IEEE Instrumentation and Measurement Magazine, Vol. 11(4), pp. 33-40, August 2008.
  7. Saxena, A., Wu, B., Vachtsevanos, G." A Hybrid Reasoning Architecture for Fleet Vehicle Maintenance", IEEE Instrumentation and Measurement Magazine, Vol. 9( 4), pp. 29-36, August 2006.
  8. L.G. Barajas, A. Kansal, Saxena, A., M. Egerstedt, A Goldstein, and E.W. Kamen, " Modeling and Control of SMT Manufacturing Lines Using Hybrid Dynamic Systems", Hybrid Systems: Computation and Control, Springer-Verlag, Prague, The Czech Republic, April 2003.

Conference Publications

  1. Ruano, M.C., Ruano, J.C.,Saxena, A., carlborg, G.R., Goebel, K., "Fatigue Damage Prognosis in FRP Composites by Combining Multi-Scale Degradation Fault Modes in an Uncertainty Bayesian Framework", in Proceedings of the 9th International Workshop on Structural Health Monitoring, pp: 1368-1375, Stanford CA, September 2013.
  2. Saxena, A., Roychoudhury, I., Lin, W., and, Goebel, K., “Towards Requirements in Systems Engineering for Aerospace IVHM Design”, The American institute of Aeronautics and Astronautics (AIAA) Infotech 2013 Conference, Boston MA, August 2013
  3. Peng, T., He, J., Liu, Y., Saxena, A., Celaya, J., Goebel, K., “Integrated fatigue damage diagnosis and prognosis under uncertainties”, Proceedings of The Annual Conference of the PHM Society, Minneapolis MN, Sept 2012. [Download]
  4. Celaya, J., Saxena, A., Goebel, K., “Uncertainty Representation and Interpretation in model-Based prognostics Algorithms Based on Kalman Filter Estimation” Proceedings of The Annual Conference of the PHM Society, Minneapolis MN, Sept 2012
  5. (Best Paper Award) [Download]
  6. Naveed, A., Li, J., Saha, B.,Saxena, A., Vachtsevanos, G.,“A Reasoning Architecture for Expert Troubleshooting of Complex Processes”, Proceedings of The Annual Conference of the PHM Society, Minneapolis MN, Sept 2012. [Download]
  7. Daigle, M., Saxena, A., Goebel, K., “An Efficient Deterministic Approach to Model-based Prediction Uncertainty Estimation”, Proceedings of The Annual Conference of the PHM Society, Minneapolis MN, Sept 2012. [Download]
  8. Saxena, A., Roychoudhury, I., Neukom, C., Huang, A., Pisanich, G., and Tran, D. “Evaluating the Impact of Unrestricted Operation of Unmanned Aircraft Systems in the National Airspace System”, The American institute of Aeronautics and Astronautics (AIAA) Infotech 2012 Conference, Garden Grove CA, June 2012
  9. Saxena, A., Roychoudhury, I., Celaya, J. Saha, B., Saha, S., Goebel, K., “Requirement Flowdown for Prognostics Health Management”, The American institute of Aeronautics and Astronautics (AIAA) Infotech 2012 Conference, Garden Grove CA, June 2012
  10. Celaya, J., Saxena, A., Goebel, K., “A Discussion on Uncertainty Representation and Interpretation in Model-based Prognostics Algorithms based on Kalman Filter Estimation Applied to Prognostics of Electronics Components”,The American institute of Aeronautics and Astronautics (AIAA) Infotech 2012 Conference, Garden Grove CA, June 2012
  11. Celaya, J., Saxena, A., Saha, H.,Goebel, K., “Prognostics Approach for Power MOSFET under Thermal-Stress Aging”, 2012 Reliability and Maintainability Symposium (RAMS), Reno NV, January 2012. [Download]
  12. Celaya, J., Saxena, A., Saha, H.,Goebel, K., "Prognostics of Power MOSFETs under Thermal Stress Accelerated Aging using Data-Driven and Model-Based Methodologies", Third Annual Conference of the PHM Society (PHM11), Montreal Canada, September 2011. [Download]
  13. Saxena, A., Goebel, K., Larrosa, C., Janapati, V., Roy, S., Chang, F-K., "Accelerated Aging Experiments for Prognostics of Damage Growth in Composite Materials", in Proceedings of the 8th International Workshop on Structural Health Monitoring, pp: 1283-1291, Stanford CA, September 2011. [Download]
  14. Celaya, J., Saxena, A., Vashchenko, V., Saha, H.,Goebel, K., "Prognostics of power MOSFET ", IEEE 23rd International Symposium on Power Semiconductor Devices and ICs (ISPSD), pp: 160-163, San Diego CA, May 2011. [Download]
  15. Balaban, E.,Saxena, A., Narasimhan, S., Roychoudhury, I., Goebel, K., "Experimental Validation of a Prognostic Health Management System for Electro-Mechanical Actuators", in Proceedings of the AIAA Infotech@Aerospace, St. Louis, Missouri, March 2011 [Download]
  16. Liu, P., Saxena, A., Goebel, K., Saha, B., and Wang, W., “An Adaptive Recurrent Neural Network for Remaining Useful Life Prediction of Lithium-ion Batteries”, Second Annual Conference of the PHM Society (PHM10), Portland OR, October 2010. [Download]
  17. Celaya, J., Saxena, A., Wysocki, P., Saha, S., Goebel, K., “Towards Prognostics of Power MOSFETs: Accelerated Aging and Precursors of Failure” Second Annual Conference of the PHM Society, Portland OR, October 2010. [Download]
  18. Balaban, E., Saxena, A., Narasimhan, S., Roychoudhury, I., Goebel, K., Koopmans, M., “Airborne Electro-Mechanical Actuator Test Stand for Development of Prognostic Health Management Systems” Second Annual Conference of the PHM Society, Portland OR, October 2010. [Download]
  19. Narasimhan, S., Roychoudhury, I., Balaban, E., Saxena, A., "Combining Model-Based and Feature-Driven Diagnosis Approaches - A Case Study on Electromechanical Actuators", 21st International Workshop on the Principles of Diagnostics (DX10), Portland OR, October 2010. [Download]
  20. Saxena, A., Celaya, J., Saha, B., Saha, H., Roychoudhury, I., Goebel, K., “Requirements Specification for Prognostics Performance – An Overview”, AIAA Infotech @ Aerospace, Atlanta GA, Apr. 2010.
  21. Saxena, A., Celaya, J. Saha, B., Saha, S., Goebel, K., “Evaluating Prognostics Performance for Algorithms Incorporating Uncertainty Estimates”, IEEE Aerospace Conference 2010, Big Sky MT, Mar 2010
  22. Saha, S., Saha, B., Saxena, A., Goebel, K., “Distributed Prognostic Health Management With Gaussian Process Regression”, to appear in IEEE Aerospace Conference 2010, Big Sky MT, Mar 2010.
  23. Saxena, A., Celaya, J. Saha, B., Saha, S., Goebel, K., “On Applying the Prognostic Performance Metrics”, Annual conference of the PHM Society, PHM09 San Diego, Sept 27-Oct 1, 2009. [Download]
  24. Balaban, E., Saxena, A., Goebel, K., Byington, C., Watson, M., Bharadwaj, S., Smith, M., Amin, S., “Experimental Data Collection and Modeling for Nominal and Fault Conditions on Electro-Mechanical Actuators", Annual Conference of the PHM Society, PHM09 San Diego, Sept 27-Oct 1, 2009. [Download]
  25. Guan, X., Liu, Y., Saxena, A., Celaya, J., Goebel, K., “Entropy-based Probabilistic Fatigue Damage Prognosis and Algorithmic Performance Comparison” Annual Conference of the PHM Society, PHM09 San Diego, Sept 27-Oct 1, 2009.
  26. Brown, D.W., Georgoulas, G., Bole, B., Pei, H., Orchard, M., Tang, L., Saha, B, Saxena, A., Goebel, K., Vachtsevanos, G. “Prognostics Enhanced Reconfigurable Control of Electro-Mechanical Actuators”, Annual Conference of the PHM Society, PHM09 San Diego, Sept 27-Oct 1, 2009.
  27. Saxena, A., Celaya, J., Saha, B., Saha, S., and Goebel, K., “Evaluating Algorithm Performance Metrics Tailored for Prognostics”, IEEE Aerospace Conference, Big Sky MT, pp. 1-13,.Mar 2009. [Download]
  28. Balaban, E., Saxena, A., .Bansal, P., Goebel, K.F., Stoelting, P, Curran, S., "A Diagnostic Approach for Electro-Mechanical Actuators in Aerospace Systems," Aerospace conference, 2009 IEEE ,Big Sky MT, pp. 1-13,.Mar 2009. [Download]
  29. Saxena, A., Celaya, J., Balaban, E., Goebel, K., Saha, B., Saha, S., and Schwabacher, M., “Metrics for Evaluating Performance of Prognostics Techniques”, 1st International Conference on Prognostics and Health Management (PHM08), Denver CO, pp. 1-17, Oct 2008. (Best Paper Award)
  30. Saxena, A., Goebel, K., Simon, D., Eklund, N., “Damage Propagation Modeling for Aircraft Engine Run-to-Failure Simulation”, 1st International Conference on Prognostics and Health Management (PHM08), Denver CO, pp. 1-9, Oct 2008.
  31. Tang, L., Kacprzynski, G.J., Goebel, K.,Saxena, A., Saha,B., and Vachtsevanos,G, “Prognostics-Enhanced Automated Contingency Management for Advanced Autonomous Systems”, 1st International Conference on Prognostics and Health Management (PHM08), Denver CO, Oct 2008.
  32. Goebel, K., Saha, B., andSaxena, A., “A Comparison of Three Data-Driven Techniques for Prognostics”, Proceedings of the 62nd Meeting of the Society For Machinery Failure Prevention Technology (MFPT), pp. 119-131, Virginia Beach VA, May 2008.
  33. Zhang, B., Georgoulas, G., Orchard,M., Saxena, A., Brown, D., Vachtsevanos, G., and Liang, S., “Roller Element Bearing Feature Extraction and Anomaly Detection Based on Vibration Monitoring”, 16th Mediterranean Conference on Control and Automation, Ajaccio France, 2008.
  34. B. Zhang, T. Khawaja, R.Patrick, G.Vachtsevanos, M.Orchard, and Saxena, A., “Use of Blind Deconvolution De-Noising Scheme in Failure Prognosis”, IEEE Autotestcon07, pp. 561-566, Sept 17-20, 2007.
  35. Tang, L., Saxena, A., Orchard, M.E., Kacprzynski, G.J., Vachtsevanos, G., and Patterson-Hine, A., “Simulation-based Design and Validation of Automated Contingency Management for Propulsion Systems”, in Proc. IEEE Aerospace Conference, Big Sky, Montana., pp. 1-11, Mar. 3-10, 2007.
  36. Saxena, A., and Vachtsevanos, G., "Optimum Feature Selection and Extraction for Fault Diagnosis and Prognosis", in Proceedings of the 2007 AAAI Fall Symposium on Artificial Intelligence for Prognostics, November 9-11, 2007, Arlington, VA.
  37. Tang, L., Kacprzynski, G., Goebel, K., Reimann, J., Orchard, M.,Saxena, A., Saha, B., “Prognostics in the Control Loop”, in Proceedings of the 2007 AAAI Fall Symposium on Artificial Intelligence for Prognostics, November 9-11, 2007, Arlington, VA.
  38. Saxena, A., M. E. Orchard, B. Zhang, G. Vachtsevanos, L. Tang, Y. Lee, and Y. Wardi, “Automated Contingency Management for Propulsion Systems,” in Proc. European Control Conference. Kos, Greece 2-5 July, 2007.
  39. Saxena, A., B. Wu, G. Vachtsevanos, " Integrated Diagnosis and Prognosis Architecture for Fleet Vehicles Using Dynamic Case Based Reasoning", Proceedings of the IEEE Autotestcon 2005, pp. 96-102, 2005 (Best Paper Award)
  40. Saxena, A.,and G. Vachtsevanos, " Processing Textual Information from Industrial Systems using Semantic Networks" 2nd Indian International Conference on Artificial Intelligence (IICAI 2005), Pune India, December 20-22, 2005.
  41. Saxena, A., Wu, B., Vachtsevanos, G., “A Methodology for Analyzing Vibration Data from Planetary Gear Systems Using Complex Morlet Wavelets”, Proceedings of the American Control Conference, Vol. 7, pp. 4730 – 4735, 2005.
  42. Wu, B., Saxena, A., R. Patrick, G. Vachtsevanos, " Vibration Monitoring for Fault Diagnosis of Helicopter Planetary Gears”, 16th IFAC World Congress, Prague, July 3-8, 2005
  43. Wu, B., Saxena, A., Khawaja, T.S., Patrick, R., Vachtsevanos, G., Sparis, P., “An Approach to Fault Diagnosis of Helicopter Planetary Gears” Proceedings of the IEEE Autotestcon 04, pp. 475 – 481, 20-23 Sept. 2004.
  44. Saxena, A.,and A. Saad, “Fault Diagnosis in Rotating Mechanical Systems Using Self-Organizing Maps”, Artificial Neural Networks in Engineering (ANNIE), St. Louis MO, Nov 7-10, 2004.
  45. Saxena, A.,and A. Saad, “Genetic Algorithms for ANN-Based Condition Monitoring System Design for Rotating Mechanical Systems”, 9th Online World Conference on Soft Computing in Industrial Applications (WSC9), Sept 20th – Oct. 8, 2004.
  46. H. Berenji, Y. Wang, and Saxena, A., “Dynamic Case-Based Reasoning in Fault Diagnosis and Prognosis”, Symposium: AI for Prognostics, 14th IEEE International Conference on Fuzzy Systems (FUZZ-IEEE '05), Reno NV, pp 845-850, May 25, 2005.
  47. Saxena, A.,and J.L., Dorrity, “Online Analysis of Textile Card Web Density”, Proceedings of ASME International Mechanical Engineering Congress & Exposition (IMECE’03), Washington, D.C., Nov. 16-21, 2003.

profile picture

Contact

Research Scientist
Prognostics Center of Excellence
Intelligent Systems Division

Editor
International Journal of Prognostics and Health Management

Ames Research Center
Mail Stop 269-4
Moffett Field, CA 94035

Phone: 650-604-3208
Fax: 650-604-4036

First Gov logo
NASA Logo - nasa.gov