| Damage propagation modeling for aircraft engine run-to-failure simulation A Saxena, K Goebel, D Simon, N Eklund 2008 international conference on prognostics and health management, 1-9, 2008 | 506 | 2008 |
| Metrics for evaluating performance of prognostic techniques A Saxena, J Celaya, E Balaban, K Goebel, B Saha, S Saha, ... 2008 International Conference on Prognostics and Health Management, 1-17, 2008 | 427 | 2008 |
| Prognostics in battery health management K Goebel, B Saha, A Saxena, JR Celaya, JP Christophersen IEEE instrumentation & measurement magazine 11 (4), 33-40, 2008 | 379 | 2008 |
| Metrics for offline evaluation of prognostic performance A Saxena, J Celaya, B Saha, S Saha, K Goebel International Journal of Prognostics and Health Management 1 (1), 20, 2010 | 332 | 2010 |
| Evolving an artificial neural network classifier for condition monitoring of rotating mechanical systems A Saxena, A Saad Applied Soft Computing 7 (1), 441-454, 2007 | 224 | 2007 |
| A comparison of three data-driven techniques for prognostics K Goebel, B Saha, A Saxena 62nd Meeting of the Society For Machinery Failure Prevention Technology …, 2008 | 169 | 2008 |
| On applying the prognostic performance metrics A Saxena, J Celaya, B Saha, S Saha, K Goebel | 164 | 2009 |
| An adaptive recurrent neural network for remaining useful life prediction of lithium-ion batteries J Liu, A Saxena, K Goebel, B Saha, W Wang NATIONAL AERONAUTICS AND SPACE ADMINISTRATION MOFFETT FIELD CA AMES RESEARCH …, 2010 | 153 | 2010 |
| Modeling, detection, and disambiguation of sensor faults for aerospace applications E Balaban, A Saxena, P Bansal, KF Goebel, S Curran IEEE Sensors Journal 9 (12), 1907-1917, 2009 | 138 | 2009 |
| A diagnostic approach for electro-mechanical actuators in aerospace systems E Balaban, P Bansal, P Stoelting, A Saxena, KF Goebel, S Curran 2009 IEEE Aerospace conference, 1-13, 2009 | 128 | 2009 |
| Evaluating algorithm performance metrics tailored for prognostics A Saxena, J Celaya, B Saha, S Saha, K Goebel 2009 IEEE Aerospace conference, 1-13, 2009 | 122 | 2009 |
| Turbofan engine degradation simulation data set A Saxena, K Goebel NASA Ames Prognostics Data Repository, 2008 | 122 | 2008 |
| Prognostics approach for power MOSFET under thermal-stress aging JR Celaya, A Saxena, CS Kulkarni, S Saha, K Goebel 2012 Proceedings Annual Reliability and Maintainability Symposium, 1-6, 2012 | 81 | 2012 |
| Towards prognostics of power MOSFETs: Accelerated aging and precursors of failure JR Celaya, A Saxena, P Wysocki, S Saha, K Goebel NATIONAL AERONAUTICS AND SPACE ADMINISTRATION MOFFETT FIELD CA AMES RESEARCH …, 2010 | 79 | 2010 |
| Performance Benchmarking and Analysis of Prognostic Methods for CMAPSS Datasets E Ramasso, A Saxena International Journal of Prognostics and Health Management 5 (2), 15, 2014 | 75 | 2014 |
| A knowledge-based system approach for sensor fault modeling, detection and mitigation JC da Silva, A Saxena, E Balaban, K Goebel Expert Systems with Applications 39 (12), 10977-10989, 2012 | 73 | 2012 |
| Prognostics of power MOSFETs under thermal stress accelerated aging using data-driven and model-based methodologies J Celaya, A Saxena, S Saha, KF Goebel | 72 | 2011 |
| An approach to fault diagnosis of helicopter planetary gears B Wu, A Saxena, TS Khawaja, R Patrick, G Vachtsevanos, P Sparis Proceedings AUTOTESTCON 2004., 475-481, 2004 | 67 | 2004 |
| An Efficient Deterministic Approach to Model-based Prediction Uncertainty Estimation M Daigle, A Saxena, K Goebel Annual Conference of the Prognostics and Health Management Society 2012, 10, 2012 | 63 | 2012 |
| Application of blind deconvolution denoising in failure prognosis B Zhang, T Khawaja, R Patrick, G Vachtsevanos, ME Orchard, A Saxena IEEE Transactions on Instrumentation and Measurement 58 (2), 303-310, 2008 | 60 | 2008 |
Kai GoebelPrincipal Scientist at PARCVerified email at parc.com
