Chetan S. Kulkarni

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Kai GoebelPalo Alto Research CenterDirección de correo verificada de parc.com
Gautam BiswasCornelius Vanderbilt Professor of Engineering; Professor of Computer Science and EngineeringDirección de correo verificada de vanderbilt.edu
Jose CelayaSchlumberger, Software Technology and Innovation CenterDirección de correo verificada de slb.com
Matthew J. DaiglePrincipal Applied AI Research Scientist, PARCDirección de correo verificada de parc.com
George GorospeKBR @ NASA Ames Research CenterDirección de correo verificada de nasa.gov
Indranil RoychoudhuryAI Scientist, Software Technology Innovation Center, SchlumbergerDirección de correo verificada de slb.com
Olga FinkLaboratory of Intelligent Maintenance and Operations Systems, EPFLDirección de correo verificada de epfl.ch
Lilly SpirkovskaComputer Scientist, NASA Ames Research CenterDirección de correo verificada de nasa.gov
Matteo CorbettaKBR LLC, NASA Ames Research CenterDirección de correo verificada de nasa.gov
Xenofon KoutsoukosVanderbilt UniversityDirección de correo verificada de vanderbilt.edu
Shankar SankararamanData Scientist and Machine Learning, IntuitDirección de correo verificada de intuit.com
Brian BoleData Scientist, ARMUS Corp.Dirección de correo verificada de armus.com
Manuel Arias ChaoDozentDirección de correo verificada de ibi.baug.ethz.ch
Edward BalabanNASADirección de correo verificada de nasa.gov
Marcos OrchardUniversity of ChileDirección de correo verificada de ing.uchile.cl
Abhinav SaxenaGE ResearchDirección de correo verificada de ge.com
Johann SchumannSGT, Inc. NASA AmesDirección de correo verificada de nasa.gov
Christopher TeubertDiagnostics and Prognostics Group Lead, NASA Ames Research CenterDirección de correo verificada de nasa.gov
Wendy OkoloNASA Ames Research CenterDirección de correo verificada de nasa.gov
Ali Guarneros LunaNASA ARCDirección de correo verificada de nasa.gov

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Chetan S. Kulkarni

Senior Scientist at NASA Ames Research Center (KBR, Inc)

Dirección de correo verificada de nasa.gov - Página principal

Intelligent Systems Systems Health Monitoring Diagnostics and Prognostics Physics Modeling Hybrid Diagnostics and Prognostic


Título Ordenar por citas Ordenar por año Ordenar por título	Citado por Citado por	Año
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	139	2014
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	100	2012
Electrochemistry-based Battery Modeling for Prognostics M Daigle, CS Kulkarni Annual Conference of the Prognostics and Health Management Society 2013, 249-261, 2013	95	2013
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	88*	2011
Randomized Battery Usage Data Set C Kulkarni, M Brian Bole, Daigle https://ti.arc.nasa.gov/dev/tech/dash/groups/pcoe/prognostic-data-repository …, 2014	69*	2014
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	62	2010
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	59	2012
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	57	2009
Fusing physics-based and deep learning models for prognostics MA Chao, C Kulkarni, K Goebel, O Fink Reliability Engineering & System Safety 217, 107961, 2022	47	2022
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	43	2016
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	41	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	38	2012
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	35	2019
Accelerated aging experiments for capacitor health monitoring and prognostics CS Kulkarni, JR Celaya, G Biswas, K Goebel 2012 IEEE AUTOTESTCON Proceedings, 356-361, 2012	32	2012
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	29	2010
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	27	2013
Aircraft engine run-to-failure dataset under real flight conditions for prognostics and diagnostics M Arias Chao, C Kulkarni, K Goebel, O Fink Data 6 (1), 5, 2021	25	2021
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	25*	2012
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	21*	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	21	2011

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