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Semantic ScholarKai Goebel
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2010 – today
- 2018
[j26]Marco Rigamonti, Piero Baraldi, Enrico Zio, Indranil Roychoudhury, Kai Goebel, Scott Poll:
Ensemble of optimized echo state networks for remaining useful life prediction. Neurocomputing 281: 121-138 (2018)- [j25]Xiaoge Zhang, Sankaran Mahadevan, Shankar Sankararaman, Kai Goebel:
Resilience-based network design under uncertainty. Rel. Eng. & Sys. Safety 169: 364-379 (2018) - [j24]Madhav Mishra, Jesper Martinsson, Matti Rantatalo, Kai Goebel:
Bayesian hierarchical model-based prognostics for lithium-ion batteries. Rel. Eng. & Sys. Safety 172: 25-35 (2018) - 2017
- [j23]Manuel Chiachio, Juan Chiachio, Shankar Sankararaman, Kai Goebel, John D. Andrews:
A new algorithm for prognostics using Subset Simulation. Rel. Eng. & Sys. Safety 168: 189-199 (2017) - 2015
- [j22]Chetan S. Kulkarni, George Gorospe, Matthew J. Daigle, Kai Goebel:
A testbed for implementing prognostic methodologies on cryogenic propellant loading systems. IEEE Instrum. Meas. Mag. 18(4): 5-15 (2015) - [j21]Edward Balaban, Abhinav Saxena, Sriram Narasimhan, Indranil Roychoudhury, Michael Koopmans, Carl Ott, Kai Goebel:
Prognostic Health-Management System Development for Electromechanical Actuators. J. Aerospace Inf. Sys. 12(3): 329-344 (2015) - [j20]Juan Chiachio, Manuel Chiachio, Shankar Sankararaman, Abhinav Saxena, Kai Goebel:
Condition-based prediction of time-dependent reliability in composites. Rel. Eng. & Sys. Safety 142: 134-147 (2015) - [j19]Bin Zhang, Liang Tang, Jonathan DeCastro, Michael J. Roemer, Kai Goebel:
A Recursive Receding Horizon Planning for Unmanned Vehicles. IEEE Trans. Industrial Electronics 62(5): 2912-2920 (2015) - 2014
- [j18]Shankar Sankararaman, Matthew J. Daigle, Kai Goebel:
Uncertainty Quantification in Remaining Useful Life Prediction Using First-Order Reliability Methods. IEEE Trans. Reliability 63(2): 603-619 (2014) - 2013
- [j17]Matthew J. Daigle, Kai Goebel:
Model-Based Prognostics With Concurrent Damage Progression Processes. IEEE Trans. Systems, Man, and Cybernetics: Systems 43(3): 535-546 (2013) - 2012
- [j16]Jonny Carlos da Silva, Abhinav Saxena, Edward Balaban, Kai Goebel:
A knowledge-based system approach for sensor fault modeling, detection and mitigation. Expert Syst. Appl. 39(12): 10977-10989 (2012) - [j15]Pradeep Lall, Ryan Lowe, Kai Goebel:
Prognostics Health Management of Electronic Systems Under Mechanical Shock and Vibration Using Kalman Filter Models and Metrics. IEEE Trans. Industrial Electronics 59(11): 4301-4314 (2012) - [j14]Pradeep Lall, Ryan Lowe, Kai Goebel:
Extended Kalman Filter Models and Resistance Spectroscopy for Prognostication and Health Monitoring of Leadfree Electronics Under Vibration. IEEE Trans. Reliability 61(4): 858-871 (2012) - [j13]Pradeep Lall, Prashant Gupta, Kai Goebel:
Decorrelated Feature Space and Neural Nets Based Framework for Failure Modes Clustering in Electronics Subjected to Mechanical Shock. IEEE Trans. Reliability 61(4): 884-900 (2012) - [c10]Brian Bole, Kai Goebel, George J. Vachtsevanos:
Using Markov Models of Fault Growth Physics and Environmental Stresses to Optimize Control Actions. Infotech@Aerospace 2012 - [c9]Jose Celaya, Abhinav Saxena, Kai Goebel:
A Discussion on Uncertainty Representation and Interpretation in Model-based Prognostics Algorithms based on Kalman Filter Estimation Applied to Prognostics of Electronics Components. Infotech@Aerospace 2012 - [c8]Susan A. Frost, Kai Goebel, Jose Celaya:
A Briefing on Metrics and Risks for Autonomous Decision-making in Aerospace Applications. Infotech@Aerospace 2012 - [c7]Chetan S. Kulkarni, Jose Celaya, Gautam Biswas, Kai Goebel:
Prognostics Health Management and Physics Based Failure Models for Electrolytic Capacitors. Infotech@Aerospace 2012 - [c6]Abhinav Saxena, Indranil Roychoudhury, Jose Celaya, Bhaskar Saha, Sankalita Saha, Kai Goebel:
Requirements Flowdown for Prognostics and Health Management. Infotech@Aerospace 2012 - [c5]Sonia Vohnout, Byoung Kim, Neil Kunst, Bill Gleeson, Robert Wagoner, Edward Balaban, Kai Goebel:
A Model-based Avionic Prognostic Reasoner (MAPR). Infotech@Aerospace 2012 - 2011
- [j12]Pradeep Lall, Chandan Bhat, Madhura Hande, Vikrant More, Rahul Vaidya, Kai Goebel:
Prognostication of Residual Life and Latent Damage Assessment in Lead-Free Electronics Under Thermomechanical Loads. IEEE Trans. Industrial Electronics 58(7): 2605-2616 (2011)
2000 – 2009
- 2009
- [j11]Bhaskar Saha, Kai Goebel, Scott Poll, Jon Christophersen:
Prognostics Methods for Battery Health Monitoring Using a Bayesian Framework. IEEE Trans. Instrumentation and Measurement 58(2): 291-296 (2009) - [j10]Nishad Patil, Jose Celaya, Diganta Das, Kai Goebel, Michael G. Pecht:
Precursor Parameter Identification for Insulated Gate Bipolar Transistor (IGBT) Prognostics. IEEE Trans. Reliability 58(2): 271-276 (2009) - 2008
- [j9]Jerry Ball, Chris Arney, Samuel G. Collins, Mitchell Marcus, Sergei Nirenburg, Antonio Chella, Kai Goebel, Jason H. Li, Margaret Lyell, Brian Magerko, Riccardo Manzotti, Clayton T. Morrison, Tim Oates, Mark Riedl, Goran Trajkovski, Walt Truszkowski, N. Serdar Uckun:
AAAI Fall Symposium Reports. AI Magazine 29(1): 99-104 (2008) - [j8]Kai Goebel, Weizhong Yan:
Correcting Sensor Drift and Intermittency Faults With Data Fusion and Automated Learning. IEEE Systems Journal 2(2): 189-197 (2008) - 2007
- [j7]William Cheetham, Kai Goebel:
Appliance Call Center: A Successful Mixed-Initiative Case Study. AI Magazine 28(2): 89-100 (2007) - [c4]Kalyan Veeramachaneni, Weizhong Yan, Kai Goebel, Lisa Ann Osadciw:
Improving Classifier Fusion Using Particle Swarm Optimization. MCDM 2007: 128-135 - 2005
- [j6]Ion Muslea, Virginia Dignum, Daniel D. Corkill, Catholijn M. Jonker, Frank Dignum, Silvia Coradeschi, Alessandro Saffiotti, Dan Fu, Jeff Orkin, William Cheetham, Kai Goebel, Piero P. Bonissone, Leen-Kiat Soh, Randolph M. Jones, Robert E. Wray III, Matthias Scheutz, Daniela Pucci de Farias, Shie Mannor, Georgios Theocharous, Doina Precup, Bamshad Mobasher, Sarabjot S. Anand, Bettina Berendt, Andreas Hotho, Hans W. Guesgen, Michael T. Rosenstein, Mohammad Ghavamzadeh:
The Workshop Program at the Nineteenth National Conference on Artificial Intelligence. AI Magazine 26(1): 103-108 (2005) - [c3]Piero P. Bonissone, Neil H. W. Eklund, Kai Goebel:
Using an Ensemble of Classifiers to Audit a Production Classifier. Multiple Classifier Systems 2005: 376-386 - 2004
- [c2]Piero P. Bonissone, Kai Goebel, Weizhong Yan:
Classifier Fusion Using Triangular Norms. Multiple Classifier Systems 2004: 154-163 - 2002
- [j5]Jussi Karlgren, Pentti Kanerva, Björn Gambäck, Kenneth D. Forbus, Kagan Tumer, Peter Stone, Kai Goebel, Gaurav S. Sukhatme, Tucker R. Balch, Bernd Fischer, Doug Smith, Sanda M. Harabagiu, Vinay K. Chaudri, Mike Barley, Hans W. Guesgen, Thomas F. Stahovich, Randall Davis, James A. Landay:
The 2002 AAAI Spring Symposium Series. AI Magazine 23(4): 101-106 (2002) - 2001
- [j4]Alice M. Agogino, Piero P. Bonissone, Kai Goebel, George J. Vachtsevanos:
Special Issue: AI in equipment service. AI EDAM 15(4): 265-266 (2001) - [j3]Piero P. Bonissone, Kai Goebel:
Soft Computing for diagnostics in equipment service. AI EDAM 15(4): 267-279 (2001) - [j2]Kai Goebel:
Architecture and design of a diagnostic information fusion system. AI EDAM 15(4): 335-348 (2001) - [c1]William Cheetham, Anil Varma, Kai Goebel:
Case-Based Reasoning at General Electric. FLAIRS Conference 2001: 93-97 - 2000
- [j1]David J. Musliner, Barney Pell, Wolff Dobson, Kai Goebel, Gautam Biswas, Sheila A. McIlraith, Giuseppina C. Gini, Sven Koenig, Shlomo Zilberstein, Weixiong Zhang:
Reports on the AAAI Spring Symposia (March 1999). AI Magazine 21(2): 79-84 (2000)
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last updated on 2018-03-10 20:49 CET by the dblp team