Kai Goebel

发表

AI in equipment maintenance and support : papers from the 1999 AAAI Symposium : March 22-24, Stanford, California

Kai Goebel, 1999 .

Model-Based Prognostics With Concurrent Damage Progression Processes

Kai Goebel, Matthew J. Daigle, K. Goebel, 2013, IEEE Transactions on Systems, Man, and Cybernetics: Systems.

Using an Ensemble of Classifiers to Audit a Production Classifier

Piero P. Bonissone, Kai Goebel, Neil H. W. Eklund, 2005, Multiple Classifier Systems.

Metrics for Offline Evaluation of Prognostic Performance

Sankalita Saha, Abhinav Saxena, Kai Goebel, 2021, International Journal of Prognostics and Health Management.

Bayesian Framework Approach for Prognostic Studies in Electrolytic Capacitor under Thermal Overstress Conditions

Gautam Biswas, Chetan S. Kulkarni, Kai Goebel, 2012 .

Real Time Safety Monitoring: Concept for Supporting Safe Flight Operations

Matthew Daigle, Kai Goebel, Lilly Spirkovska, 2017 .

Probabilistic damage diagnosis of composite laminates using Bayesian inference

Kai Goebel, Abhinav Saxena, Yibing Xiang, 2014 .

Diagnostic Information Fusion for Manufacturing Processes

Kai Goebel, Vivek Venugopal Badami, A. G. Amitha Perera, 1999 .

When will it break? A hybrid soft computing model to predict time-to-break margins in paper machines

Kai Goebel, Piero P. Bonissone, 2002, Optics + Photonics.

Extended Kalman Filter models and resistance spectroscopy for prognostication and health monitoring of leadfree electronics under vibration

Kai Goebel, Pradeep Lall, Ryan Lowe, 2011 .

Damage Propagation Modeling for Aircraft Engine Prognostics

Kai Goebel, Abhinav Saxena, Don Simon, 2008 .

Safety and IVHM

Kai Goebel, 2012 .

Correcting Sensor Drift and Intermittency Faults With Data Fusion and Automated Learning

Kai Goebel, Weizhong Yan, K. Goebel, 2008, IEEE Systems Journal.

Application of Model-based Prognostics Framework to Pneumatic Valves on Cryogenic Testbed

Matthew Daigle, Chetan S. Kulkarni, Kai Goebel, 2015 .

Risk-Sensitive Particle-Filtering-based Prognosis Framework for Estimation of Remaining Useful Life in Energy Storage Devices<

Liang Tang, George Vachtsevanos, Kai Goebel, 2010 .

Architecture and design of a diagnostic information fusion system

Kai Goebel, K. Goebel, 2001, Artificial Intelligence for Engineering Design, Analysis and Manufacturing.

Active System Control: Future

Kai Goebel, Igor Schagaev, Brian Robinson Kirk, 2018 .

Predicting Wet-End Web Breakage in Paper Mills

Kai Goebel, Yu-To Chen, Piero Patrone Bonissone, 2002 .

Artifical intelligence for prognostics : Papers from the AAAI Fall Symposium

George Vachtsevanos, Kai Goebel, Serdar Uckun, 2007 .

Integrating Systems Health Management with Adaptive Contingency Control for Wind Turbines

Susan A. Frost, Kai Goebel, Mark J. Balas, 2013 .

Probabilistic fatigue damage prognosis of lap joint using Bayesian updating

Kai Goebel, Abhinav Saxena, Yongming Liu, 2015 .

A Discussion on Uncertainty Representation and Interpretation in Model-based Prognostics Algorithms based on Kalman Filter Estimation Applied to Prognostics of Electronics Components

Kai Goebel, Abhinav Saxena, Jose Celaya, 2012, Infotech@Aerospace.

Resilience-based network design under uncertainty

Sankaran Mahadevan, Kai Goebel, Xiaoge Zhang, 2018, Reliab. Eng. Syst. Saf..

A Novel Computational Methodology for Uncertainty Quantification in Prognostics Using The Most Probable Point Concept

Kai Goebel, Shankar Sankararaman, 2013 .

Modeling Li-ion Battery Capacity Depletion in a Particle Filtering Framework

Kai Goebel, Bhaskar Saha, B. Saha, 2009 .

USING RANK PERMUTATION FOR AIRCRAFT ENGINE FAULT DIAGNOSTICS

Kai Goebel, Xiao Hu, Neil Eklund, 2006 .

Towards A Model-based Prognostics Methodology for Electrolytic Capacitors: A Case Study Based on Electrical Overstress Accelerated Aging

Gautam Biswas, Chetan S. Kulkarni, Kai Goebel, 2020, International Journal of Prognostics and Health Management.

in Model-based Prognostics

Matthew Daigle, Kai Goebel, 2011 .

AAAI Fall Symposium Reports

Sergei Nirenburg, Clayton T. Morrison, Tim Oates, 2008, AI Mag..

On Applying the Prognostic Performance Metrics

Sankalita Saha, Abhinav Saxena, Kai Goebel, 2009 .

An Adaptive Recurrent Neural Network for Remaining Useful Life Prediction of Lithium-ion Batteries

Bhaskar Saha, Jie Liu, Kai Goebel, 2010 .

Why is the Remaining Useful Life Prediction Uncertain

Kai Goebel, Shankar Sankararaman, K. Goebel, 2013 .

Estimating remaining life using sensor data and future mission data

Kai Goebel, Neil Eklund, Pierino Gianni Bonnani, 2006 .

Towards Prognostics of Electrolytic Capacitors

Gautam Biswas, Chetan S. Kulkarni, Kai Goebel, 2011 .

Prognostic Health-Management System Development for Electromechanical Actuators

Carl Ott, Kai Goebel, Abhinav Saxena, 2015, J. Aerosp. Inf. Syst..

Uncertainty in Steady-State Diagnostics of a Current-Pressure Transducer: How Confident are We in Diagnosing Faults

Kai Goebel, Shankar Sankararaman, Christopher Teubert, 2014 .

Entropy-based probabilistic fatigue damage prognosis and algorithmic performance comparison

Xuefei Guan, Abhinav Saxena, Kai Goebel, 2009 .

A Briefing on Metrics and Risks for Autonomous Decision-making in Aerospace Applications

Susan A. Frost, Kai Goebel, Jose Celaya, 2012, Infotech@Aerospace.

A Combined Model-Based and Data-Driven Prognostic Approach for Aircraft System Life Management

Kai Goebel, Marcos E. Orchard, George J. Vachtsevanos, 2011 .

Knowledge and Time: Selected Case Studies in Prognostics and Health Management (PHM)

Piero P. Bonissone, Kai Goebel, Naresh Sundaram Iyer, 2006 .

Model Adaptation for Prognostics in a Particle Filtering Framework

Bhaskar Saha, Kai Goebel, B. Saha, 2011 .

A robust modeling approach for fatigue damage in composites based on bayesian model class selection

Juan Chiachio, Kai Goebel, Abhinav Saxena, 2014 .

Requirements Flowdown for Prognostics and Health Management

Bhaskar Saha, Sankalita Saha, Kai Goebel, 2012, Infotech@Aerospace.

The 2002 AAAI Spring Symposium Series

Gaurav S. Sukhatme, Sanda M. Harabagiu, Hans W. Guesgen, 2002, AI Mag..

Validation of Model-Based Prognostics for Pneumatic Valves in a Demonstration Testbed

Matthew Daigle, Chetan S. Kulkarni, Kai Goebel, 2014 .

Exploring the Model Design Space for Battery Health Management

Bhaskar Saha, Kai Goebel, Cuong C. Quach, 2011 .

- 1-A COMPARISON OF THREE DATA-DRIVEN TECHNIQUES FOR PROGNOSTICS

Abhinav Saxena, Kai Goebel, Bhaskar Saha, 2008 .

Reports on the AAAI Spring Symposia (March 1999)

David J. Musliner, Gautam Biswas, Weixiong Zhang, 2000, AI Mag..

Prognostics in the Control Loop

Liang Tang, Bhaskar Saha, Kai Goebel, 2007, AAAI Fall Symposium: Artificial Intelligence for Prognostics.

Factoring a priori classifier performance into decision fusion

Kai Goebel, Shreesh P. Mysore, 2002, SPIE Defense + Commercial Sensing.

Information refinement and revision for decision making : papers from the 2002 AAAI Symposium, March 25-27, Stanford, California

Kai Goebel, Piero Patrone Bonissone, 2002 .

An Efficient Deterministic Approach to Model-based Prediction Uncertainty Estimation

Matthew Daigle, Kai Goebel, Abhinav Saxena, 2012 .

Integrated in-Flight Fault Detection and Accommodation: A Model-Based Study

Kai Goebel, Neil Eklund, Randal T. Rausch, 2007 .

A Survey of Artificial Intelligence for Prognostics

Kai Goebel, Mark Schwabacher, K. Goebel, 2007, AAAI Fall Symposium: Artificial Intelligence for Prognostics.

Taking advantage of misclassifications to boost classification rate in decision fusion

Kai Goebel, Shreesh P. Mysore, 2001, SPIE Defense + Commercial Sensing.

Computational architecture for autonomous decision-making in unmanned aerial vehicles

Kai Goebel, Shankar Sankararaman, K. Goebel, 2018, Defense + Security.

Remaining Useful-Life Based on Damage Pre-Cursors for Leadfree Electronics Subjected to Multiple Thermal-Environments

Pradeep Lall, Vikrant More, Kai Goebel, 2009 .

Prognostication of Residual Life and Latent Damage Assessment in Lead-Free Electronics Under Thermomechanical Loads

Pradeep Lall, Madhura Hande, Chandan Bhat, 2011, IEEE Transactions on Industrial Electronics.

Extended Kalman Filter models and resistance spectroscopy for prognostication and health monitoring of leadfree electronics under vibration

Pradeep Lall, Kai Goebel, Ryan Lowe, 2011, 2011 IEEE Conference on Prognostics and Health Management.

Soft Computing for diagnostics in equipment service

Piero P. Bonissone, Kai Goebel, K. Goebel, 2001, Artificial Intelligence for Engineering Design, Analysis and Manufacturing.

A new algorithm for prognostics using Subset Simulation

Juan Chiachio, Manuel Chiachio, John D. Andrews, 2017, Reliab. Eng. Syst. Saf..

Towards Characterizing the Variability in the Loading Demands of an Unmanned Aerial Vehicle

Kai Goebel, Shankar Sankararaman, 2015 .

Sensor validation in non-destructive evaluation using clustering

Kai Goebel, Viswanath Avasarala, Neil Eklund, 2006, SPIE Smart Structures and Materials + Nondestructive Evaluation and Health Monitoring.

Comparison of Prognostic Health Management Algorithms for Assessment of Electronic Interconnect Reliability

Pradeep Lall, Kai Goebel, Ryan Lowe, 2013 .

Adaptive Contingency Control: Wind Turbine Operation Integrated with Blade Condition Monitoring

Susan A. Frost, Alan Wright, Kai Goebel, 2012 .

A neural network filtering approach for similarity-based remaining useful life estimation

Kai Goebel, Indranil Roychoudhury, Oguz Bektas, 2018, The International Journal of Advanced Manufacturing Technology.

A Model-based Avionic Prognostic Reasoner (MAPR)

Kai Goebel, Edward Balaban, Sonia Vohnout, 2012, Infotech@Aerospace.

Investigating the Effect of Damage Progression Model Choice on Prognostics Performance

Matthew Daigle, Sankalita Saha, Kai Goebel, 2011 .

Wind Turbine Contingency Control Through Generator De-Rating

Mark J. Balas, Susan A. Frost, Kai Goebel, 2013 .

Towards Accelerated Aging Methodologies and Health Management of Power MOSFETs (Technical Brief)

Sankalita Saha, Kai Goebel, Nishad Patil, 2009 .

A knowledge-based system approach for sensor fault modeling, detection and mitigation

Kai Goebel, Abhinav Saxena, Edward Balaban, 2012, Expert Syst. Appl..

Experimental Studies of Ageing in Electrolytic Capacitors

Gautam Biswas, Chetan S. Kulkarni, Xenofon Koutsoukos, 2010 .

Distilling the Verification Process for Prognostics Algorithms

Kai Goebel, Abhinav Saxena, Indranil Roychoudhury, 2013 .

Ensemble of optimized echo state networks for remaining useful life prediction

Enrico Zio, Piero Baraldi, Kai Goebel, 2017, Neurocomputing.

Towards Requirements in Systems Engineering for Aerospace IVHM Design

Wei Lin, Abhinav Saxena, Kai Goebel, 2013 .

Diagnostic/Prognostic Experiments for Capacitor Degradation and Health Monitoring in DC-DC Converters

Gautam Biswas, Chetan S. Kulkarni, Xenofon Koutsoukos, 2010 .

Sensitivity of fusion performance to classifier model variations

Kai Goebel, K. Goebel, 2003, SPIE Defense + Commercial Sensing.

Prognostic Fusion for Uncertainty Reduction

Kai Goebel, Neil Eklund, Pierino Gianni Bonanni, 2007 .

Experimental Validation of Model-Based Prognostics for Pneumatic Valves

Chetan S. Kulkarni, Kai Goebel, Matthew J. Daigle, 2017, International journal of prognostics and health management.

Health-Management Driven Control Reconfiguration Approach for Flight Vehicles

Kai Goebel, Asif Khalak, 2007, AAAI Fall Symposium: Artificial Intelligence for Prognostics.

Preliminary Investigation of Impact of Technological Impairment on Trajectory-Based Operations

Kai Goebel, Indranil Roychoudhury, Shankar Sankararaman, 2017 .

Bayesian hierarchical model-based prognostics for lithium-ion batteries

Kai Goebel, Matti Rantatalo, Madhav Mishra, 2018, Reliab. Eng. Syst. Saf..

Impact of Input Uncertainty on Failure Prognostic Algorithms: Extending the Remaining Useful Life of Nonlinear Systems

George J. Vachtsevanos, Kai Goebel, Marcos E. Orchard, 2010 .

Intelligent Diagnosis Based On Validated And Fused Data For Relilability And Safety Enhancement Of Automated Vehicles In An IVHS

Kai Goebel, Jiangxin Wang, Satnam Alag, 1998 .

Cost assessment for implementation of embedded prognostic health management for electronic systems

Kai Goebel, Pradeep Lall, Ryan Lowe, 2012 .

Predicting Real-Time Safety of the National Airspace System

Chetan S. Kulkarni, Kai Goebel, Edward Balaban, 2016 .

Fault Adaptive Control of Overactuated Systems Using Prognostic Estimation

George Vachtsevanos, Kai Goebel, Douglas W. Brown, 2010 .

Uncertainty Quantification in Remaining Useful Life Prediction Using First-Order Reliability Methods

Kai Goebel, Matthew J. Daigle, Shankar Sankararaman, 2014, IEEE Trans. Reliab..

Condition-based prediction of time-dependent reliability in composites

Juan Chiachio, Manuel Chiachio, Kai Goebel, 2015, Reliab. Eng. Syst. Saf..

Markov Modeling of Component Fault Growth Over A Derived Domain of Feasible Output Control Effort Modifications

George Vachtsevanos, Kai Goebel, Brian Bole, 2012 .

Comparison of prognostic algorithms for estimating remaining useful life of batteries

Kai Goebel, Bhaskar Saha, Jon P. Christophersen, 2009 .

Tackling V&V for Prognostics

Martin S. Feather, Kai Goebel, Matt Daigle, 2010 .

Prognostics Health Management and Physics Based Failure Models for Electrolytic Capacitors

Gautam Biswas, Chetan S. Kulkarni, Kai Goebel, 2012, Infotech@Aerospace.

A Bayesian Framework for Remaining Useful Life Estimation

Bhaskar Saha, Kai Goebel, Scott Poll, 2007, AAAI Fall Symposium: Artificial Intelligence for Prognostics.

Failure Mode Clustering is Electronic Assemblies Using Sammon’s Mapping With Supervised Training of Perceptrons

Kai Goebel, Pradeep Lall, Prashant Gupta, 2011 .

Leading Indicators of Damage for Prognostication of Leadfree Electronics Subjected to Multiple Thermo-Mechanical Environments

Pradeep Lall, Vikrant More, Kai Goebel, 2009 .

Hybrid deep fault detection and isolation: Combining deep neural networks and system performance models pdf

Chetan S. Kulkarni, Kai Goebel, Olga Fink, 2019, International Journal of Prognostics and Health Management.

Classifier Fusion Using Triangular Norms

Piero P. Bonissone, Kai Goebel, Weizhong Yan, 2004, Multiple Classifier Systems.

Generic Software Architecture for Prognostics (GSAP) User Guide

Matthew Daigle, Kai Goebel, Shankar Sankararaman, 2016 .

PHM of Leadfree Electronic Assemblies Using Resistance Spectroscopy With Sequential Importance Resampling

Kai Goebel, Pradeep Lall, Ryan Lowe, 2011 .

Prognostics Design for Structural Health Management

Juan Chiachio, Manuel Chiachio, Kai Goebel, 2015 .

KL Transform and Neural-Net Based Framework for Failure Modes Classification in Electronics Subjected to Mechanical-Shock

Kai Goebel, Pradeep Lall, Prashant Gupta, 2011 .

Prognostics for advanced compressor health monitoring

Kai Goebel, Michael Joseph Krok, 2003, SPIE Defense + Commercial Sensing.

Prognostics for Ground Support Systems: Case Study on Pneumatic Valves

Matthew Daigle, Kai Goebel, 2011 .

A Novel RSPF Approach to Prediction of High-Risk, Low-Probability Failure Events

Liang Tang, George J. Vachtsevanos, Kai Goebel, 2009 .

A Data Fusion Approach for Aircraft Engine Fault Diagnostics

Kai Goebel, Xiao Hu, Neil Eklund, 2007 .

Battery health management for small-size rotary-wing electric unmanned aerial vehicles: An efficient approach for constrained computing platforms

Chetan S. Kulkarni, Kai Goebel, Gina Sierra, 2019, Reliab. Eng. Syst. Saf..

Case-Based Reasoning at General Electric

Kai Goebel, Anil Varma, William Cheetham, 2001, FLAIRS Conference.

Using Markov Models of Fault Growth Physics and Environmental Stresses to Optimize Control Actions

George J. Vachtsevanos, Kai Goebel, Brian Bole, 2012, Infotech@Aerospace.

Special Issue: AI in equipment service

Piero P. Bonissone, Alice M. Agogino, George J. Vachtsevanos, 2001, Artificial Intelligence for Engineering Design, Analysis and Manufacturing.

A Distributed Prognostic Health Management Architecture

Sankalita Saha, Kai Goebel, Saha Bhaskar, 2009 .

The Workshop Program at the Nineteenth National Conference on Artificial Intelligence

Piero P. Bonissone, Matthias Scheutz, Shie Mannor, 2005, AI Mag..

A Recursive Receding Horizon Planning for Unmanned Vehicles

Liang Tang, Bin Zhang, Kai Goebel, 2015, IEEE Transactions on Industrial Electronics.

Information fusion for national airspace system prognostics: A NASA ULI project

Kai Goebel, Yongming Liu, K. Goebel, 2018 .

A Model-Based Prognostics Approach Applied to Pneumatic Valves

Matthew Daigle, Kai Goebel, K. Goebel, 2011 .

Prognostics Methods for Battery Health Monitoring Using a Bayesian Framework

Bhaskar Saha, Kai Goebel, Scott Poll, 2009, IEEE Transactions on Instrumentation and Measurement.

An Uncertainty Quantification Framework for Prognostics and Condition-Based Monitoring

Kai Goebel, Shankar Sankararaman, 2014 .

Damage Pre-Cursors Based Assessment of Accrued Thermo-Mechanical Damage and Remaining Useful Life in Field Deployed Electronics

Pradeep Lall, Kai Goebel, Mahendra Harsha, 2015 .

SILHIL Replication of Electric Aircraft Powertrain Dynamics and Inner-Loop Control for V&V of System Health Management Routines

Kai Goebel, Edward F. Hogge, Christopher Teubert, 2013 .

Improving Classifier Fusion Using Particle Swarm Optimization

Kalyan Veeramachaneni, Kai Goebel, Lisa Ann Osadciw, 2007, 2007 IEEE Symposium on Computational Intelligence in Multi-Criteria Decision-Making.

Kai Goebel, Pradeep Lall, Prashant Gupta, 2011 .

PHM of Leadfree Interconnects Using Resistance Spectroscopy Based Particle Filter Models for Shock and Vibration Environments

Kai Goebel, Pradeep Lall, Ryan Lowe, 2011 .

Ethics in prognostics and health management

Kai Goebel, Brian Smith, Anupa Bajawa, 2019 .

Electronic Health Management

Sankalita Saha, Kai Goebel, Jose R. Celaya, 2013 .

Developing IVHM Requirements for Aerospace Systems

Abhinav Saxena, Kai Goebel, Indranil Roychoudhury, 2013 .

Appliance Call Center: A Successful Mixed-Initiative Case Study

Kai Goebel, William Cheetham, K. Goebel, 2007, AI Mag..

Initial Demonstration of the Real-Time Safety Monitoring Framework for the National Airspace System Using Flight Data

Matthew Daigle, Chetan S. Kulkarni, Kai Goebel, 2016 .

Requirements Specification for Prognostics Performance - An Overview

Sankalita Saha, Kai Goebel, Bhaskar Saha, 2010 .

An efficient algorithm to predict the expected end-of-life in composites under fatigue conditions

Juan Chiachio, Kai Goebel, Abhinav Saxena, 2014 .

Remaining Useful Life Estimation in Prognosis: An Uncertainty Propagation Problem

Kai Goebel, Shankar Sankararaman, K. Goebel, 2013 .

Evolutionary Tuning of Non-parametric Information Conversion Functions for Diagnostics

Xiao Hu, Kai Goebel, N. Eklund, 2006, The Proceedings of the Multiconference on "Computational Engineering in Systems Applications".

Prognostics for Electronics Components of Avionics

Kai Goebel, Jose R. Celaya, Philip F. Wysocki, 2008 .

Prognostics Applied to Electric Propulsion UAV

Kai Goebel, Bhaskar Saha, B. Saha, 2013, Handbook of Unmanned Aerial Vehicles.

Integrated fatigue damage diagnosis and prognosis under uncertainties

Jingjing He, Kai Goebel, Abhinav Saxena, 2012, Annual Conference of the PHM Society.

Tackling Verification and Validation for Prognostics

Martin S. Feather, Kai Goebel, Matthew Daigle, 2010 .

Predicting Battery Life for Electric UAVs

Bhaskar Saha, Kai Goebel, Edward F. Hogge, 2011 .

Modeling for Battery Prognostics

Chetan S. Kulkarni, Kai Goebel, Edward F. Hogge, 2017 .

KEYNOTE PRESENTATION Prognostics and Health Monitoring of Electronic Systems

Kai Goebel, Pradeep Lall, K. Goebel, 2011 .

Prognostic Health Monitoring of Damage Progression in Leadfree Electronics Under Sequential Exposure to Thermal Aging and Thermal Cycling

Pradeep Lall, Vikrant More, Kai Goebel, 2010 .

A Generic Software Architecture for Prognostics

Matthew Daigle, Kai Goebel, Shankar Sankararaman, 2017 .

Hierarchical model-based prognostics for Li-ion batteries

Kai Goebel, Matti Rantatalo, Madhav Mishra, 2018 .

Pradeep Lall, Kai Goebel, Prashant Gupta, 2011, 2011 IEEE Conference on Prognostics and Health Management.

Distributed Prognostics and Health Management with a Wireless Network Architecture

Sankalita Saha, Kai Goebel, Bhaskar Sha, 2013 .

Decision forgetting and decision smoothing for diagnostic decision fusion in systems with redundant information

Kai Goebel, 2000, SPIE Defense + Commercial Sensing.

Autonomous Decision Making for Planetary Rovers Using Diagnostic and Prognostic Information

Matthew Daigle, Kai Goebel, Edward Balaban, 2012 .

Uncertainty Quantification in Remaining Useful Life of Aerospace Components using State Space Models and Inverse FORM

Kai Goebel, Shankar Sankararaman, 2013 .

Benefits of Decision Support Using Soft Computing

Piero P. Bonissone, Kai Goebel, William Cheetham, 2003 .

Integrating Systems Health Management with Adaptive Controls for a Utility-scale Wind Turbine

Susan A. Frost, Kai Goebel, Khanh V. Trinh, 2011 .

Soft Computing Techniques for Diagnostics and Prognostics

Piero P. Bonissone, Kai Goebel, K. Goebel, 1999 .

Experimental Data Collection and Modeling for Nominal and Fault Conditions on Electro-Mechanical Actuators

Carl S. Byington, Abhinav Saxena, Kai Goebel, 2009 .

Accrued Damage and Remaining Life in Field Extracted Assemblies Under Sequential Thermo-Mechanical Loads

Pradeep Lall, Kai Goebel, Jeffrey C. Suhling, 2011 .

Aircraft Engine Run-to-Failure Dataset under Real Flight Conditions for Prognostics and Diagnostics

Kai Goebel, Olga Fink, Chetan S. Kulkarni, 2021, Data.

Joint Special Issue on PHM for Aerospace Systems

Kai Goebel, Chetan Kulkarni, 2021 .

Fusing Physics-based and Deep Learning Models for Prognostics

Kai Goebel, Olga Fink, Chetan Kulkarni, 2022, Reliab. Eng. Syst. Saf..

Damage pre-cursor based assessment of impact of high temperature storage on reliability of leadfree electronics

Pradeep Lall, Kai Goebel, Mahendra Harsha, 2013, 2013 IEEE 63rd Electronic Components and Technology Conference.

Prognostics Enhanced Reconfigurable Control of Electro-Mechanical Actuators

George Vachtsevanos, Kai Goebel, Abhinav Saxena, 2009 .

Prognostic Techniques for Capacitor Degradation and Health Monitoring

Gautam Biswas, Chetan S. Kulkarni, Kai Goebel, 2011 .

Physics based Degradation Modeling and Prognostics of Electrolytic Capacitors under Electrical Overstress Conditions

Gautam Biswas, Chetan S. Kulkarni, Kai Goebel, 2013 .

Prognostication of latent damage and residual life in leadfree electronics subjected to multiple thermal-environments

Pradeep Lall, Vikrant More, Kai Goebel, 2009, 2009 59th Electronic Components and Technology Conference.

Fusing Competing Prediction Algorithms for Prognostics (Preprint)

Kai Goebel, Neil Eklund, Pierino Gianni Bonanni, 2006 .

Physics Based Degradation Models for Electrolytic Capacitor Prognostics under Thermal Overstress Conditions

Gautam Biswas, Chetan S. Kulkarni, Kai Goebel, 2020 .

Effect of Electrostatic Discharge on Electrical Characteristics of Discrete Electronic Components

Sankalita Saha, Vladislav Vashchenko, Kai Goebel, 2009 .

Degredation Modeling and Remaining Useful Life Prediction of Electrolytic Capacitors under Thermal Overstress Condition Using Particle Filters

Gautam Biswas, Kai Goebel, Hamed Khorasgani, 2013 .

Fuzzy belief nets

Alice M. Agogino, Kai Goebel, 2000 .