| Prognostics Approach for Power MOSFET under Thermal-Stress Aging J Celaya, A Saxena, CS Kulkarni, S Saha, K Goebel Proceedings - Annual Reliability and Maintainability Symposium (RAMS), 2012, 1-6, 2012 | 89 | 2012 |
| A Model-based Prognostics Methodology for Electrolytic Capacitors Based on Electrical Overstress Accelerated Aging JR Celaya, C Kulkarni, G Biswas, S Saha, K Goebel Proceeding of Annual Conference of the Prognostics and Health Management …, 2011 | 78 | 2011 |
| Adaptation of an electrochemistry-based li-ion battery model to account for deterioration observed under randomized use B Bole, CS Kulkarni, M Daigle Annual conference of the prognostics and health management society, 2014 | 75 | 2014 |
| Electrochemistry-based Battery Modeling for Prognostics M Daigle, CS Kulkarni Annual Conference of the Prognostics and Health Management Society 2013, 249-261, 2013 | 61 | 2013 |
| Integrated diagnostic/prognostic experimental setup for capacitor degradation and health monitoring C Kulkarni, G Biswas, X Koutsoukos, J Celaya, K Goebel IEEE AUTOTESTCON, 1-7, 2010 | 53 | 2010 |
| A prognosis case study for electrolytic capacitor degradation in DC-DC converters C Kulkarni, G Biswas, X Koutsoukos Proceeding of Annual Conference of the Prognostics and Health Management …, 2009 | 49 | 2009 |
| Physics Based Electrolytic Capacitor Degradation Models for Prognostic Studies under Thermal Overstress CS Kulkarni, JR Celaya, K Goebel, G Biswas 1st European Conference of the Prognostics and Health Management Society, 1-9, 2012 | 48 | 2012 |
| Physics of failure models for capacitor degradation in DC-DC converters C Kulkarni, G Biswas, X Koutsoukos, K Goebel, J Celaya The Maintenance and Reliability Conference, MARCON, 2010 | 37 | 2010 |
| Accelerated Aging in Electrolytic Capacitors for Prognostics J Celaya, C Kulkarni, S Saha, G Biswas, K Goebel Proceedings Annual Reliability and Maintainability Symposium (RAMS), 2012, 1-6, 2012 | 32 | 2012 |
| Randomized battery usage data set B Bole, C Kulkarni, M Daigle NASA AMES prognostics data repository 70, 2014 | 31 | 2014 |
| Accelerated aging experiments for capacitor health monitoring and prognostics CS Kulkarni, JR Celaya, G Biswas, K Goebel 2012 IEEE AUTOTESTCON Proceedings, 356-361, 2012 | 28 | 2012 |
| End-of-discharge and End-of-life Prediction in Lithium-ion Batteries with Electrochemistry-based Aging Models M Daigle, CS Kulkarni AIAA Infotech@ Aerospace, 2132, 2016 | 27 | 2016 |
| Battery health management for small-size rotary-wing electric unmanned aerial vehicles: An efficient approach for constrained computing platforms G Sierra, M Orchard, K Goebel, C Kulkarni Reliability Engineering & System Safety 182, 166-178, 2019 | 22 | 2019 |
| Physics Based Degradation Models for Electrolytic Capacitor Prognostics under Thermal Overstress Conditions CS Kulkarni, G Biswas, JR Celaya, K Goebel International Journal of the PHM Society 4 (1), 13, 2013 | 22 | 2013 |
| Experimental studies of ageing in electrolytic capacitors C Kulkarni, G Biswas, X Koutsoukos, J Celaya, K Goebel Proceeding of Annual Conference of the Prognostics and Health Management Society, 2010 | 21 | 2010 |
| Prognostics Health Management and Physics based failure Models for Electrolytic Capacitors CS Kulkarni, JR Celaya, G Biswas, K Goebel AIAA Infotech@Aerospace Conference 1, 1-7, 2012 | 18* | 2012 |
| Prognostic Techniques for Capacitor Degradation and Health Monitoring C Kulkarni, G Biswas, J Celaya, K Goebel The Maintenance & Reliability Conference, MARCON 2011, 1-14, 2011 | 18 | 2011 |
| Towards Prognostic of Electrolytic Capacitors J Celaya, CS Kulkarni, G Biswas, K Goebel American Institute of Aeronautics and Astronautics, Infotech@Aerospace 2011, 2011 | 17 | 2011 |
| Stochastic Prediction of Remaining Driving Time and Distance for a Planetary Rover M Daigle, S Sankararaman, CS Kulkarni IEEE Aerospace, 2015 | 16 | 2015 |
| Towards A Model-Based Prognostics Methodology for Electrolytic Capacitors: A Case Study Based on Electrical Overstress Accelerated Aging C Kulkarni, J Celaya, G Biswas, K Goebel International Journal of Prognostics and Health Management 5 (1), 16, 2012 | 16* | 2012 |
Kai GoebelPalo Alto Research CenterVerified email at parc.com
