Matthew J. Daigle

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Indranil RoychoudhuryAI Scientist, Software Technology Innovation Center, SchlumbergerVerified email at slb.com
Kai GoebelPalo Alto Research CenterVerified email at parc.com
Gautam BiswasCornelius Vanderbilt Professor of Engineering; Professor of Computer Science and EngineeringVerified email at vanderbilt.edu
Xenofon KoutsoukosVanderbilt UniversityVerified email at vanderbilt.edu
Chetan S. KulkarniSenior Scientist at NASA Ames Research Center (KBR, Inc)Verified email at nasa.gov
Anibal BregonProfesor Contratado Doctor, Dpto. de Informática, Universidad de ValladolidVerified email at infor.uva.es
Shankar SankararamanData Scientist and Machine Learning, IntuitVerified email at intuit.com
George GorospeKBR @ NASA Ames Research CenterVerified email at nasa.gov
Brian BoleData Scientist, ARMUS Corp.Verified email at armus.com
Jose CelayaSchlumberger, Software Technology and Innovation CenterVerified email at slb.com
Edward BalabanNASAVerified email at nasa.gov
Lilly SpirkovskaComputer Scientist, NASA Ames Research CenterVerified email at nasa.gov
Belarmino PulidoProfesor de Informática - Associate Professor (UVA)Verified email at infor.uva.es
Abhinav SaxenaGE ResearchVerified email at ge.com
Bhaskar SahaPalo Alto Research CenterVerified email at parc.com
Christopher TeubertDiagnostics and Prognostics Group Lead, NASA Ames Research CenterVerified email at nasa.gov
Vadim N. SmelyanskiyNASA Ames Research CenterVerified email at nasa.gov
Michael FoygelPhysics Professor, SDSMTVerified email at sdsmt.edu
Elodie ChantheryEnseignant chercheur - LAAS-CNRS, Université de Toulouse, INSAVerified email at laas.fr
Sankaran MahadevanJohn R. Murray Sr. Professor of EngineeringVerified email at vanderbilt.edu

Matthew J. Daigle

Principal Scientist, Novity

Verified email at novity.us - Homepage

diagnostics prognostics systems health management autonomy artificial intelligence


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Adaptation of an Electrochemistry-based Li-Ion Battery Model to Account for Deterioration Observed Under Randomized Use B Bole, C Kulkarni, M Daigle Annual Conference of the Prognostics and Health Management Society 2014, 502-510, 2014	211	2014
Model-based Prognostics with Concurrent Damage Progression Processes M Daigle, K Goebel IEEE Transactions on Systems, Man, and Cybernetics: Systems 43 (4), 535-546, 2013	183	2013
A Model-Based Prognostics Approach Applied to Pneumatic Valves MJ Daigle, K Goebel International Journal of Prognostics and Health Management 2 (2), 2011	147	2011
Distributed diagnosis in formations of mobile robots MJ Daigle, XD Koutsoukos, G Biswas IEEE Transactions on Robotics 23 (2), 353-369, 2007	145	2007
Electrochemistry-based Battery Modeling for Prognostics M Daigle, CS Kulkarni Annual Conference of the Prognostics and Health Management Society 2013, 249-261, 2013	126	2013
Uncertainty Quantification in Remaining Useful Life Prediction Using First-Order Reliability Methods S Sankararaman, MJ Daigle, K Goebel IEEE Transactions on Reliability 63 (2), 603-619, 2014	125	2014
Randomized battery usage data set B Bole, C Kulkarni, M Daigle NASA AMES prognostics data repository 70, 2014	116	2014
Prognostics: The Science of Making Predictions K Goebel, M Daigle, A Saxena, S Sankararaman, I Roychoudhury, ...	113	2017
Advanced diagnostics and prognostics testbed S Poll, A Patterson-Hine, J Camisa, D Garcia, D Hall, C Lee, ... Proceedings of the 18th International Workshop on Principles of Diagnosis …, 2007	112	2007
A Comparison of Filter-based Approaches for Model-based Prognostics M Daigle, B Saha, K Goebel 2012 IEEE Aerospace Conference, 2012	101	2012
A comprehensive diagnosis methodology for complex hybrid systems: A case study on spacecraft power distribution systems MJ Daigle, I Roychoudhury, G Biswas, XD Koutsoukos, A Patterson-Hine, ... IEEE Transactions on Systems, Man, and Cybernetics-Part A: Systems and …, 2010	97	2010
Model-based prognostics under limited sensing M Daigle, K Goebel Aerospace Conference, 2010 IEEE, 2010	96	2010
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, 326-335, 2012	77	2012
Multiple damage progression paths in model-based prognostics M Daigle, K Goebel 2011 Aerospace Conference, 1-10, 2011	72	2011
End-of-discharge and End-of-life Prediction in Lithium-ion Batteries with Electrochemistry-based Aging Models M Daigle, CS Kulkarni AIAA Infotech@ Aerospace, 2016	65	2016
Analytical Algorithms to Quantify the Uncertainty in Remaining Useful Life Prediction S Sankararaman, M Daigle, A Saxena, K Goebel 2013 IEEE Aerospace Conference, 2013	65	2013
Efficient simulation of hybrid systems: A hybrid bond graph approach I Roychoudhury, MJ Daigle, G Biswas, X Koutsoukos Simulation: Transactions of The Society for Modeling and Simulation …, 2011	61	2011
An event-based distributed diagnosis framework using structural model decomposition A Bregon, M Daigle, I Roychoudhury, G Biswas, X Koutsoukos, B Pulido Artificial Intelligence 210, 1-35, 2014	57	2014
Distributed prognostics based on structural model decomposition MJ Daigle, A Bregon, I Roychoudhury IEEE Transactions on Reliability 63 (2), 495-510, 2014	52	2014
A qualitative event-based approach to fault diagnosis of hybrid systems MJ Daigle	52	2008

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