Chetan S. Kulkarni

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Kai GoebelSRI/PARCGeverifieerd e-mailadres voor sri.com
Gautam BiswasCornelius Vanderbilt Professor of Engineering; Professor of Computer Science and EngineeringGeverifieerd e-mailadres voor vanderbilt.edu
Matthew J. DaiglePrincipal Scientist, NovityGeverifieerd e-mailadres voor novity.us
Jose CelayaSchlumberger, Software Technology and Innovation CenterGeverifieerd e-mailadres voor slb.com
Matteo CorbettaKBR LLC, NASA Ames Research CenterGeverifieerd e-mailadres voor nasa.gov
Olga FinkLaboratory of Intelligent Maintenance and Operations Systems, EPFLGeverifieerd e-mailadres voor epfl.ch
Manuel Arias ChaoSenior Lecturer (Dozent) - Zurich University of Applied SciencesGeverifieerd e-mailadres voor ibi.baug.ethz.ch
George GorospeKBR @ NASA Ames Research CenterGeverifieerd e-mailadres voor nasa.gov
Lilly SpirkovskaComputer Scientist, NASA Ames Research CenterGeverifieerd e-mailadres voor nasa.gov
Indranil RoychoudhuryAI Scientist, Software Technology Innovation Center, SchlumbergerGeverifieerd e-mailadres voor slb.com
Brian BoleData Scientist, ARMUS Corp.Geverifieerd e-mailadres voor armus.com
Shankar SankararamanData Scientist and Machine Learning, IntuitGeverifieerd e-mailadres voor intuit.com
Xenofon KoutsoukosVanderbilt UniversityGeverifieerd e-mailadres voor vanderbilt.edu
Marcos OrchardUniversity of ChileGeverifieerd e-mailadres voor ing.uchile.cl
Christopher TeubertDiagnostics and Prognostics Group Lead, NASA Ames Research CenterGeverifieerd e-mailadres voor nasa.gov
Abhinav SaxenaGE Aerospace ResearchGeverifieerd e-mailadres voor ge.com
Edward BalabanNASAGeverifieerd e-mailadres voor nasa.gov
Wendy OkoloNASA Ames Research CenterGeverifieerd e-mailadres voor nasa.gov
Johann SchumannSGT, Inc. NASA AmesGeverifieerd e-mailadres voor nasa.gov
Portia BanerjeeResearch Engineer, [KBR] NASA Ames Research Center.Geverifieerd e-mailadres voor nasa.gov

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Chetan S. Kulkarni

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

Geverifieerd e-mailadres voor nasa.gov - Homepage

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


Titel Sorteren op citaties Sorteren op jaar Sorteren op titel	Geciteerd door Geciteerd door	Jaar
Fusing physics-based and deep learning models for prognostics MA Chao, C Kulkarni, K Goebel, O Fink Reliability Engineering & System Safety 217, 107961, 2022	281	2022
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	264	2014
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	182	2021
Electrochemistry-based Battery Modeling for Prognostics M Daigle, CS Kulkarni Annual Conference of the Prognostics and Health Management Society 2013, 249-261, 2013	151	2013
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	143*	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	119	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	110*	2011
Hybrid physics-informed neural networks for lithium-ion battery modeling and prognosis RG Nascimento, M Corbetta, CS Kulkarni, FAC Viana Journal of Power Sources 513, 230526, 2021	109	2021
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	73	2016
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	70	2012
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	69	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	63	2009
Real-time model calibration with deep reinforcement learning Y Tian, MA Chao, C Kulkarni, K Goebel, O Fink Mechanical Systems and Signal Processing 165, 108284, 2022	55	2022
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	54	2019
Hybrid deep fault detection and isolation: Combining deep neural networks and system performance models MA Chao, C Kulkarni, K Goebel, O Fink arXiv preprint arXiv:1908.01529, 2019	52	2019
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	50	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	50	2010
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	46	2010
Accelerated aging experiments for capacitor health monitoring and prognostics CS Kulkarni, JR Celaya, G Biswas, K Goebel 2012 IEEE AUTOTESTCON Proceedings, 356-361, 2012	44	2012
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	35	2013

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