Kai Goebel

Orcid: 0000-0002-0240-0943

According to our database1, Kai Goebel authored at least 61 papers between 1999 and 2024.

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Bibliography

2024
A metric for assessing and optimizing data-driven prognostic algorithms for predictive maintenance.
Reliab. Eng. Syst. Saf., February, 2024

AI in Industrial IoT Cybersecurity [Industrial and Governmental Activities].
IEEE Comput. Intell. Mag., February, 2024

Health Index Estimation Through Integration of General Knowledge with Unsupervised Learning.
CoRR, 2024

Monitoring-Supported Value Generation for Managing Structures and Infrastructure Systems.
CoRR, 2024

2022
Fusing physics-based and deep learning models for prognostics.
Reliab. Eng. Syst. Saf., 2022

Relation between prognostics predictor evaluation metrics and local interpretability SHAP values.
Artif. Intell., 2022

2021
Exploring Architectures for Integrated Resilience Optimization.
J. Aerosp. Inf. Syst., October, 2021

Improving tail accuracy of the predicted cumulative distribution function of time of failure.
Reliab. Eng. Syst. Saf., 2021

Remaining Useful Life Prediction of Bearings Using Ensemble Learning: The Impact of Diversity in Base Learners and Features.
J. Comput. Inf. Sci. Eng., 2021

A self-organizing map and a normalizing multi-layer perceptron approach to baselining in prognostics under dynamic regimes.
Neurocomputing, 2021

Aircraft Engine Run-to-Failure Dataset under Real Flight Conditions for Prognostics and Diagnostics.
Data, 2021

Bearing Life Prediction With Informed Hyperprior Distribution: A Bayesian Hierarchical and Machine Learning Approach.
IEEE Access, 2021

2020
Probabilistic Risk-Based Operational Safety Bound for Rotary-Wing Unmanned Aircraft Systems Traffic Management.
J. Aerosp. Inf. Syst., March, 2020

Real-Time Model Calibration with Deep Reinforcement Learning.
CoRR, 2020

2019
Battery health management for small-size rotary-wing electric unmanned aerial vehicles: An efficient approach for constrained computing platforms.
Reliab. Eng. Syst. Saf., 2019

Hybrid deep fault detection and isolation: Combining deep neural networks and system performance models.
CoRR, 2019

2018
Resilience-based network design under uncertainty.
Reliab. Eng. Syst. Saf., 2018

Bayesian hierarchical model-based prognostics for lithium-ion batteries.
Reliab. Eng. Syst. Saf., 2018

Ensemble of optimized echo state networks for remaining useful life prediction.
Neurocomputing, 2018

2017
A new algorithm for prognostics using Subset Simulation.
Reliab. Eng. Syst. Saf., 2017

2015
A Recursive Receding Horizon Planning for Unmanned Vehicles.
IEEE Trans. Ind. Electron., 2015

Condition-based prediction of time-dependent reliability in composites.
Reliab. Eng. Syst. Saf., 2015

Prognostic Health-Management System Development for Electromechanical Actuators.
J. Aerosp. Inf. Syst., 2015

A testbed for implementing prognostic methodologies on cryogenic propellant loading systems.
IEEE Instrum. Meas. Mag., 2015

2014
Uncertainty Quantification in Remaining Useful Life Prediction Using First-Order Reliability Methods.
IEEE Trans. Reliab., 2014

2013
Model-Based Prognostics With Concurrent Damage Progression Processes.
IEEE Trans. Syst. Man Cybern. Syst., 2013

2012
Extended Kalman Filter Models and Resistance Spectroscopy for Prognostication and Health Monitoring of Leadfree Electronics Under Vibration.
IEEE Trans. Reliab., 2012

Decorrelated Feature Space and Neural Nets Based Framework for Failure Modes Clustering in Electronics Subjected to Mechanical Shock.
IEEE Trans. Reliab., 2012

Prognostics Health Management of Electronic Systems Under Mechanical Shock and Vibration Using Kalman Filter Models and Metrics.
IEEE Trans. Ind. Electron., 2012

A knowledge-based system approach for sensor fault modeling, detection and mitigation.
Expert Syst. Appl., 2012

A Model-based Avionic Prognostic Reasoner (MAPR).
Proceedings of the Infotech@Aerospace 2012, 2012

Requirements Flowdown for Prognostics and Health Management.
Proceedings of the Infotech@Aerospace 2012, 2012

Prognostics Health Management and Physics Based Failure Models for Electrolytic Capacitors.
Proceedings of the Infotech@Aerospace 2012, 2012

A Briefing on Metrics and Risks for Autonomous Decision-making in Aerospace Applications.
Proceedings of the Infotech@Aerospace 2012, 2012

A Discussion on Uncertainty Representation and Interpretation in Model-based Prognostics Algorithms based on Kalman Filter Estimation Applied to Prognostics of Electronics Components.
Proceedings of the Infotech@Aerospace 2012, 2012

Using Markov Models of Fault Growth Physics and Environmental Stresses to Optimize Control Actions.
Proceedings of the Infotech@Aerospace 2012, 2012

2011
Prognostication of Residual Life and Latent Damage Assessment in Lead-Free Electronics Under Thermomechanical Loads.
IEEE Trans. Ind. Electron., 2011

2009
Precursor Parameter Identification for Insulated Gate Bipolar Transistor (IGBT) Prognostics.
IEEE Trans. Reliab., 2009

Prognostics Methods for Battery Health Monitoring Using a Bayesian Framework.
IEEE Trans. Instrum. Meas., 2009

2008
Correcting Sensor Drift and Intermittency Faults With Data Fusion and Automated Learning.
IEEE Syst. J., 2008

AAAI Fall Symposium Reports.
AI Mag., 2008

2007
Appliance Call Center: A Successful Mixed-Initiative Case Study.
AI Mag., 2007

Improving Classifier Fusion Using Particle Swarm Optimization.
Proceedings of the IEEE Symposium on Computational Intelligence in Multicriteria Decision Making, 2007

Prognostics in the Control Loop.
Proceedings of the Artificial Intelligence for Prognostics, 2007

A Survey of Artificial Intelligence for Prognostics.
Proceedings of the Artificial Intelligence for Prognostics, 2007

A Bayesian Framework for Remaining Useful Life Estimation.
Proceedings of the Artificial Intelligence for Prognostics, 2007

Health-Management Driven Control Reconfiguration Approach for Flight Vehicles.
Proceedings of the Artificial Intelligence for Prognostics, 2007

2006
Using Meta-Features to Boost the Performance of Classifier Fusion Schemes for Time Series Data.
Proceedings of the International Joint Conference on Neural Networks, 2006

2005
Evolutionary design and optimization of aircraft engine controllers.
IEEE Trans. Syst. Man Cybern. Part C, 2005

The Workshop Program at the Nineteenth National Conference on Artificial Intelligence.
AI Mag., 2005

Using an Ensemble of Classifiers to Audit a Production Classifier.
Proceedings of the Multiple Classifier Systems, 6th International Workshop, 2005

2004
Classifier Fusion Using Triangular Norms.
Proceedings of the Multiple Classifier Systems, 5th International Workshop, 2004

2002
The 2002 AAAI Spring Symposium Series.
AI Mag., 2002

2001
Architecture and design of a diagnostic information fusion system.
Artif. Intell. Eng. Des. Anal. Manuf., 2001

Soft Computing for diagnostics in equipment service.
Artif. Intell. Eng. Des. Anal. Manuf., 2001

Special Issue: AI in equipment service.
Artif. Intell. Eng. Des. Anal. Manuf., 2001

Case-Based Reasoning at General Electric.
Proceedings of the Fourteenth International Florida Artificial Intelligence Research Society Conference, 2001

Applications of Soft CBR at General Electric.
Proceedings of the Soft Computing in Case Based Reasoning, 2001

2000
Fuzzy Belief Nets.
Int. J. Uncertain. Fuzziness Knowl. Based Syst., 2000

Reports on the AAAI Spring Symposia (March 1999).
AI Mag., 2000

1999
Hybrid soft computing systems: industrial and commercial applications.
Proc. IEEE, 1999


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