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
Sriram NarasimhanUniversity of California Santa Cruz @ 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
Belarmino PulidoProfesor de Informática - Associate Professor (UVA)Verified email at infor.uva.es
Lilly SpirkovskaComputer Scientist, NASA Ames Research CenterVerified email at nasa.gov
Abhinav SaxenaGE ResearchVerified email at ge.com
Bhaskar SahaPalo Alto Research CenterVerified email at parc.com
Vadim N. SmelyanskiyNASA Ames Research CenterVerified email at nasa.gov
Michael FoygelPhysics Professor, SDSMTVerified email at sdsmt.edu
Christopher TeubertDiagnostics and Prognostics Group Lead, NASA Ames Research CenterVerified email at nasa.gov
Elodie ChantheryEnseignant chercheur - LAAS-CNRS, Université de Toulouse, INSAVerified email at laas.fr

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	174	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	172	2013
Distributed diagnosis in formations of mobile robots MJ Daigle, XD Koutsoukos, G Biswas IEEE Transactions on Robotics 23 (2), 353-369, 2007	141	2007
A Model-Based Prognostics Approach Applied to Pneumatic Valves MJ Daigle, K Goebel International Journal of Prognostics and Health Management 2 (2), 2011	138	2011
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	118	2014
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	107	2007
Electrochemistry-based Battery Modeling for Prognostics M Daigle, CS Kulkarni Annual Conference of the Prognostics and Health Management Society 2013, 249-261, 2013	106	2013
Prognostics: The Science of Making Predictions K Goebel, M Daigle, A Saxena, S Sankararaman, I Roychoudhury, ...	97	2017
A Comparison of Filter-based Approaches for Model-based Prognostics M Daigle, B Saha, K Goebel 2012 IEEE Aerospace Conference, 2012	97	2012
Model-based prognostics under limited sensing M Daigle, K Goebel Aerospace Conference, 2010 IEEE, 2010	95	2010
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	92	2010
Randomized battery usage data set B Bole, C Kulkarni, M Daigle NASA AMES prognostics data repository 70, 2014	90	2014
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	75	2012
Multiple damage progression paths in model-based prognostics M Daigle, K Goebel 2011 Aerospace Conference, 1-10, 2011	71	2011
Analytical Algorithms to Quantify the Uncertainty in Remaining Useful Life Prediction S Sankararaman, M Daigle, A Saxena, K Goebel 2013 IEEE Aerospace Conference, 2013	64	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	59	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	56	2014
A qualitative event-based approach to fault diagnosis of hybrid systems MJ Daigle	52	2008
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	51	2016
Distributed prognostics based on structural model decomposition MJ Daigle, A Bregon, I Roychoudhury IEEE Transactions on Reliability 63 (2), 495-510, 2014	51	2014

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