Kai Goebel

Publication Activity (10 Years)

Years Active: 1999-2024
Publications (10 Years): 26

Top Topics

Health Management

Prior Distribution

Nonparametric Bayesian

Top Venues

Reliab. Eng. Syst. Saf.

J. Aerosp. Inf. Syst.

Publications

Kai Goebel, Shantanu Rane
AI in Industrial IoT Cybersecurity [Industrial and Governmental Activities]. IEEE Comput. Intell. Mag. 19 (1) (2024)
Kristupas Bajarunas, Marcia Lourenco Baptista, Kai Goebel, Manuel Arias Chao
Health Index Estimation Through Integration of General Knowledge with Unsupervised Learning. CoRR (2024)
Antonios Kamariotis, Eleni N. Chatzi, Daniel Straub, Nikolaos Dervilis, Kai Goebel, Aidan J. Hughes, Geert Lombaert, Costas Papadimitriou, Konstantinos G. Papakonstantinou, Matteo Pozzi, Michael Todd, Keith Worden
Monitoring-Supported Value Generation for Managing Structures and Infrastructure Systems. CoRR (2024)
Antonios Kamariotis, Konstantinos Tatsis, Eleni N. Chatzi, Kai Goebel, Daniel Straub
A metric for assessing and optimizing data-driven prognostic algorithms for predictive maintenance. Reliab. Eng. Syst. Saf. 242 (2024)
Kristupas Bajarunas, Marcia Lourenco Baptista, Kai Goebel, Manuel Arias Chao
Health index estimation through integration of general knowledge with unsupervised learning. Reliab. Eng. Syst. Saf. 251 (2024)
Marcia Lourenco Baptista, Kai Goebel, Elsa M. P. Henriques
Relation between prognostics predictor evaluation metrics and local interpretability SHAP values. Artif. Intell. 306 (2022)
Manuel Arias Chao, Chetan S. Kulkarni, Kai Goebel, Olga Fink
Fusing physics-based and deep learning models for prognostics. Reliab. Eng. Syst. Saf. 217 (2022)
Daniel E. Hulse, Arpan Biswas, Christopher Hoyle, Irem Y. Tumer, Chetan S. Kulkarni, Kai Goebel
Exploring Architectures for Integrated Resilience Optimization. J. Aerosp. Inf. Syst. 18 (10) (2021)
Marcia Lourenco Baptista, Elsa M. P. Henriques, Kai Goebel
A self-organizing map and a normalizing multi-layer perceptron approach to baselining in prognostics under dynamic regimes. Neurocomputing 456 (2021)
Madhav Mishra, Jesper Martinsson, Kai Goebel, Matti Rantatalo
Bearing Life Prediction With Informed Hyperprior Distribution: A Bayesian Hierarchical and Machine Learning Approach. IEEE Access 9 (2021)
Manuel Arias Chao, Chetan S. Kulkarni, Kai Goebel, Olga Fink
Aircraft Engine Run-to-Failure Dataset under Real Flight Conditions for Prognostics and Diagnostics. Data 6 (1) (2021)
Gina Sierra, Elinirina Iréna Robinson, Kai Goebel
Improving tail accuracy of the predicted cumulative distribution function of time of failure. Reliab. Eng. Syst. Saf. 207 (2021)
Junchuan Shi, Tianyu Yu, Kai Goebel, Dazhong Wu
Remaining Useful Life Prediction of Bearings Using Ensemble Learning: The Impact of Diversity in Base Learners and Features. J. Comput. Inf. Sci. Eng. 21 (2) (2021)
Yuan Tian, Manuel Arias Chao, Chetan S. Kulkarni, Kai Goebel, Olga Fink
Real-Time Model Calibration with Deep Reinforcement Learning. CoRR (2020)
Manuel Arias Chao, Chetan S. Kulkarni, Kai Goebel, Olga Fink
Fusing Physics-based and Deep Learning Models for Prognostics. CoRR (2020)
Jueming Hu, Heinz Erzberger, Kai Goebel, Yongming Liu
Probabilistic Risk-Based Operational Safety Bound for Rotary-Wing Unmanned Aircraft Systems Traffic Management. J. Aerosp. Inf. Syst. 17 (3) (2020)
Gina Sierra, Marcos E. Orchard, Kai Goebel, Chetan S. Kulkarni
Battery health management for small-size rotary-wing electric unmanned aerial vehicles: An efficient approach for constrained computing platforms. Reliab. Eng. Syst. Saf. 182 (2019)
Manuel Arias Chao, Chetan S. Kulkarni, Kai Goebel, Olga Fink
Hybrid deep fault detection and isolation: Combining deep neural networks and system performance models. CoRR (2019)
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 (2018)
Xiaoge Zhang, Sankaran Mahadevan, Shankar Sankararaman, Kai Goebel
Resilience-based network design under uncertainty. Reliab. Eng. Syst. Saf. 169 (2018)
Madhav Mishra, Jesper Martinsson, Matti Rantatalo, Kai Goebel
Bayesian hierarchical model-based prognostics for lithium-ion batteries. Reliab. Eng. Syst. Saf. 172 (2018)
Manuel Chiachío, Juan Chiachío, Shankar Sankararaman, Kai Goebel, John D. Andrews
A new algorithm for prognostics using Subset Simulation. Reliab. Eng. Syst. Saf. 168 (2017)
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) (2015)
Juan Chiachío, Manuel Chiachío, Shankar Sankararaman, Abhinav Saxena, Kai Goebel
Condition-based prediction of time-dependent reliability in composites. Reliab. Eng. Syst. Saf. 142 (2015)
Edward Balaban, Abhinav Saxena, Sriram Narasimhan, Indranil Roychoudhury, Michael Koopmans, Carl Ott, Kai Goebel
Prognostic Health-Management System Development for Electromechanical Actuators. J. Aerosp. Inf. Syst. 12 (3) (2015)
Bin Zhang, Liang Tang, Jonathan DeCastro, Michael J. Roemer, Kai Goebel
A Recursive Receding Horizon Planning for Unmanned Vehicles. IEEE Trans. Ind. Electron. 62 (5) (2015)
Shankar Sankararaman, Matthew J. Daigle, Kai Goebel
Uncertainty Quantification in Remaining Useful Life Prediction Using First-Order Reliability Methods. IEEE Trans. Reliab. 63 (2) (2014)
Matthew J. Daigle, Kai Goebel
Model-Based Prognostics With Concurrent Damage Progression Processes. IEEE Trans. Syst. Man Cybern. Syst. 43 (3) (2013)
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. Ind. Electron. 59 (11) (2012)
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)
Abhinav Saxena, Indranil Roychoudhury, Jose Celaya, Bhaskar Saha, Sankalita Saha, Kai Goebel
Requirements Flowdown for Prognostics and Health Management. Infotech@Aerospace (2012)
Susan A. Frost, Kai Goebel, Jose Celaya
A Briefing on Metrics and Risks for Autonomous Decision-making in Aerospace Applications. Infotech@Aerospace (2012)
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. Reliab. 61 (4) (2012)
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) (2012)
Sonia Vohnout, Byoung Kim, Neil Kunst, Bill Gleeson, Robert Wagoner, Edward Balaban, Kai Goebel
A Model-based Avionic Prognostic Reasoner (MAPR). Infotech@Aerospace (2012)
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. Reliab. 61 (4) (2012)
Chetan S. Kulkarni, Jose Celaya, Gautam Biswas, Kai Goebel
Prognostics Health Management and Physics Based Failure Models for Electrolytic Capacitors. Infotech@Aerospace (2012)
Brian Bole, Kai Goebel, George J. Vachtsevanos
Using Markov Models of Fault Growth Physics and Environmental Stresses to Optimize Control Actions. Infotech@Aerospace (2012)
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. Ind. Electron. 58 (7) (2011)
Nishad Patil, Jose Celaya, Diganta Das, Kai Goebel, Michael G. Pecht
Precursor Parameter Identification for Insulated Gate Bipolar Transistor (IGBT) Prognostics. IEEE Trans. Reliab. 58 (2) (2009)
Bhaskar Saha, Kai Goebel, Scott Poll, Jon Christophersen
Prognostics Methods for Battery Health Monitoring Using a Bayesian Framework. IEEE Trans. Instrum. Meas. 58 (2) (2009)
Kai Goebel, Weizhong Yan
Correcting Sensor Drift and Intermittency Faults With Data Fusion and Automated Learning. IEEE Syst. J. 2 (2) (2008)
Jerry T. 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 Mag. 29 (1) (2008)
Mark Schwabacher, Kai Goebel
A Survey of Artificial Intelligence for Prognostics. AAAI Fall Symposium: Artificial Intelligence for Prognostics (2007)
William Cheetham, Kai Goebel
Appliance Call Center: A Successful Mixed-Initiative Case Study. AI Mag. 28 (2) (2007)
Bhaskar Saha, Kai Goebel, Scott Poll, Jon Christophersen
A Bayesian Framework for Remaining Useful Life Estimation. AAAI Fall Symposium: Artificial Intelligence for Prognostics (2007)
Liang Tang, Gregory J. Kacprzynski, Kai Goebel, Johan Reimann, Marcos E. Orchard, Abhinav Saxena, Bhaskar Saha
Prognostics in the Control Loop. AAAI Fall Symposium: Artificial Intelligence for Prognostics (2007)
Asif Khalak, Kai Goebel
Health-Management Driven Control Reconfiguration Approach for Flight Vehicles. AAAI Fall Symposium: Artificial Intelligence for Prognostics (2007)
Kalyan Veeramachaneni, Weizhong Yan, Kai Goebel, Lisa Ann Osadciw
Improving Classifier Fusion Using Particle Swarm Optimization. MCDM (2007)
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 Mag. 26 (1) (2005)
Piero P. Bonissone, Neil H. W. Eklund, Kai Goebel
Using an Ensemble of Classifiers to Audit a Production Classifier. Multiple Classifier Systems (2005)
Raj Subbu, Kai Goebel, Dean K. Frederick
Evolutionary design and optimization of aircraft engine controllers. IEEE Trans. Syst. Man Cybern. Part C 35 (4) (2005)
Piero P. Bonissone, Kai Goebel, Weizhong Yan
Classifier Fusion Using Triangular Norms. Multiple Classifier Systems (2004)
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 Mag. 23 (4) (2002)
William Cheetham, Anil Varma, Kai Goebel
Case-Based Reasoning at General Electric. FLAIRS Conference (2001)
Piero P. Bonissone, Kai Goebel
Soft Computing for diagnostics in equipment service. Artif. Intell. Eng. Des. Anal. Manuf. 15 (4) (2001)
Kai Goebel
Architecture and design of a diagnostic information fusion system. Artif. Intell. Eng. Des. Anal. Manuf. 15 (4) (2001)
Alice M. Agogino, Piero P. Bonissone, Kai Goebel, George J. Vachtsevanos
Special Issue: AI in equipment service. Artif. Intell. Eng. Des. Anal. Manuf. 15 (4) (2001)
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 Mag. 21 (2) (2000)
Piero P. Bonissone, Yu-To Chen, Kai Goebel, Pratap S. Khedkar
Hybrid soft computing systems: industrial and commercial applications. Proc. IEEE 87 (9) (1999)