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Publications |
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BOOK
CHAPTERS B. Cheetham, P. Cuddihy, and K.
Goebel, Applications of Soft CBR at GE, Soft Computing in Case Based
Reasoning; Eds: S. Pal, T. Dillon, and D. Yeung; Springer Verlag, London,
2001; (ISBN 1-85233-262-X)., 2001. (pdf) B. Cheetham, K. Goebel, and P.
Bonissone, Benefits of Decision Support using Soft Computing, Applied Decision
Support with Soft Computing; Eds: X. Yu and J. Kacprzyk, Studies in Fuzziness
and Soft Computing, Vol. 124, Springer Verlag, (ISBN: 3-540-02491-3), pp.
61-85, 2003. (pdf) EDITED
VOLUMES K. Goebel, AI in Equipment
Maintenance and Support, Papers from 1999 Spring Symposium; Technical Report
SS-99-04; AAAI Press, 1999; (ISBN 1-57735-084-7), 1999 K. Goebel and P. Bonissone, Information Refinement
and Revision for Decision Making: Modeling for Diagnostics, Prognostics, and
Prediction, Papers from 2002 Spring Symposium; Technical Report SS-02-03;
AAAI Press, 2002; (ISBN 1-57735-148-7), 2002 JOURNAL
PAPERS R. Subbu, K. Goebel, and D. A. Agogino, P. Bonissone, K.
Goebel, and G. Vachtsevanos, Guest Editorial: AI in Equipment Service,
Artificial Intelligence for Engineering Design, Analysis and Manufacturing,
Vol. 15 (4), Sept. 2001, pp. 265-266, 2001 (pdf) P. Bonissone and K. Goebel, Soft
Computing for Diagnostics in Equipment Service, Artificial Intelligence for
Engineering Design, Analysis and Manufacturing, Vol. 15 (4), Sept. 2001, pp.
267-279, 2001. (pdf) K. Goebel and A. Agogino,
Intelligent Sensor Validation and Sensor Fusion for Automated Vehicle Control
Using Fuzzy Techniques , ASME J. of
Dynamic Systems, Measurement and Control, March 2001, pp. 145-146, 2001. (pdf) K. Goebel, Architecture and Design
of a Diagnostic Information Fusion Tool, Artificial Intelligence for
Engineering Design, Analysis and Manufacturing, Vol. 15 (4), Sept. 2001, pp.
335-348, 2001. (pdf) K. Goebel and A. Agogino, Fuzzy
Belief Nets, Intl. J. Uncertainty, Fuzziness, and Knowledge-Based Systems.
Vol. 8, No. 4, pp. 453-469, 2000. (pdf) P. Bonissone, Y. Chen, K. Goebel,
and P. Khedkar, Hybrid Soft Computing Systems: Industrial and Commercial
Applications, Proceedings of the IEEE, Special Issue on Computational
Intelligence, Vol. 87, No. 9, pp. 1641-1667, 1999. (pdf) PATENTS K. Goebel and D. Doel, System and
method for generating alerts through multi-variate data assessment,
US6216066, 2001. (pdf) K. Goebel and D. Doel, Alert
Generation for Trend Performance Analysis, US6408259, 2002. (pdf) Kai Goebel , System and method for
classifying unknown data patterns in multi-variate feature space, US6519575,
2003. (pdf) Kai Goebel, Vivek Badami, Malcolm
Ashby, Information Fusion of Classifiers in Systems with Partial Redundant
Information, US6757668, 2004. (pdf) Weizhong Yan, Peter Edic, Maria
Iatrou, Kai Goebel, Erdogan Cesmeli, Method and Apparatus for Imaging a
region of dynamic tissues, US6765983, 2004. (pdf) Kai Goebel, System, method and
computer product for incremental improvement of algorithm performance during
algorithm development, US7050950, 2006. (pdf) CONFERENCE
PROCEEDINGS P. Bonissone, K. Goebel, N. Eklund and K. Goebel, Using
Meta-Features to Boost the Performance of Classifier Fusion Schemes for Time
Series Data, Proceedings of WCCI 2006, 2006. (pdf) K. Goebel, X. Hu, N. Eklund, W.
Yan, Fusing diverse monitoring algorithms for robust change detection,
Proceedings of SPIE; Multisensor, Multisource Information Fusion:
Architectures, Algorithms, and Applications 2006, Vol. 6242, pp. 192-202,
2006. (pdf) K. Goebel, W. Yan, N. Eklund, X.
Hu, V. Avasarala, J. Celaya, Defect classification of highly noisy NDE data
using classifier ensembles, Proceedings of SPIE: Smart Structures and
Materials 2006: Smart Sensor Monitoring Systems and Applications; Daniele
Inaudi, Wolfgang Ecke, Brian Culshaw, Kara J. Peters, Eric Udd; (Eds.), Vol.
6167 pp. 460-471, 2006. (pdf) V. Avasarala, J. Celaya, K. Goebel,
and N. Eklund Sensor validation in Non
Destructive Evaluation using the kernel-split method and clustering,
Proceedings of SPIE: Smart Structures and Materials 2006: Smart Sensor
Monitoring Systems and Applications; Daniele Inaudi, Wolfgang Ecke, Brian
Culshaw, Kara J. Peters, Eric Udd (Eds.); Vol. 6167, pp. 396-403, 2006. (pdf) X. Hu, N. Eklund, A. Abraham, and
K. Goebel, Using Rank Permutation for Aircraft Engine Fault Diagnostics,
Proceedings of the 60th Meeting of the Society For Machinery Failure
Prevention Technology (MFPT), pp. 291-300, 2006. (pdf) K. Goebel, N. Eklund, and P.
Bonanni, Fusing Competing Prediction Algorithms for Prognostics, Proceedings
of 2006 IEEE Aerospace Conference, 11.1004, 2006. (pdf) N. Eklund and K. Goebel, Using
Neural Networks and the Rank Permutation Transformation to Detect Abnormal
Conditions in Aircraft Engines, Proceedings of the 2005 IEEE Mid-Summer
Workshop on Soft Computing in Industrial Applications, SMCia/05, pp. 1-5,
2005. (pdf) K. Goebel and P. Bonissone,
Prognostic Information Fusion for Constant Load Systems, Proceedings of the
7th Annual Conference on Information Fusion, Fusion 2005, Vol. 2., pp. 1247 –
1255, 2005. (pdf) P. Bonissone, N. Eklund, and K.
Goebel, Using an Ensemble of Classifiers to Audit a Production Classifier,
Multiple Classifier Systems; Lecture Notes in Computer Science 3541,
Proceeding of the Sixth International Workshop, MCS 2005, pp. 376-386, 2005.
(pdf) R. Rausch, K. Goebel, N. Eklund,
and B. Brunell, Integrated Fault Detection and Accommodation: A Model-Based
Study, Proceedings of the ASME Turbo Expo 2005, v. 1, pp. 561-569, 2005. (pdf) W. Yan and K. Goebel, Feature
Dimensionality Reduction for Partial Discharge Diagnostics of Aircraft
Wiring, Proceedings of the 59th Meeting of the Society for Machine Failure
Prevention Technology, MFPT '05, pp 167-176, 2005. (pdf) K. Goebel and W. Yan, Using
Correlation-Based Measures to Select Classifiers for Decision Fusion, Proceedings
of SPIE Defense and Security Symposium: Multisensor, Multisource Information
Fusion: Architectures, Algorithms, and Applications 2005, pp. 180-191, 2005.
(pdf) W. Yan and K. Goebel, Feature
Selection for Partial Discharge Diagnosis, Proceedings of12th SPIE: Health
Monitoring and Smart Nondestructive Evaluation of Structural and Biological
Systems IV, v. 5768, pp. 166-175, 2005. (pdf) K. Goebel, P. Bonanni, N. Eklund,
Towards an Integrated Reasoner for Bearings Prognostics, Proceedings of 2005
IEEE Aerospace Conference, pp. 1 – 11, 2005. (pdf) W. Yan and K. Goebel, Algorithms
for Partial Discharge Diagnostics Applied to Aircraft Wiring, Proceedings of
8th Joint NASA/FAA/DoD Conference on Aging Aircraft, 2005. (pdf) T. Sebastian, K. Goebel, and T.
Saleh, Fast Detection of Linear Features in Large Images, Proceedings of
Electronic Imaging 2005 Annual Symposium: Machine Vision Applications in
Industrial Inspection XIII, pp. 10-17, 2005. (pdf) J. Granderson, A. Agogino, Y. Wen,
K. Goebel, Towards Demand-Responsive Intelligent Daylighting with Wireless
Sensing and Actuation, Proceedings of 2004 Annual IESNA conference, 2004. (pdf) Y. Wen, A. Agogino, K. Goebel,
Fuzzy Validation and Fusion of Wireless Sensor Networks, Proceedings of 2004
ASME International Mechanical Engineering Congress, 2004. (pdf) R. Rausch, D. Viassolo, A. Kumar,
K. Goebel, N. Eklund, B. Brunell, P. Bonanni, Towards In-Flight Detection and
Accommodation of Faults, Proceedings of AIAA 2004, 2004. (pdf) P. Bonissone, K. Goebel, and W.
Yan, Classifier Fusion Using Triangular Norms, Lecture Notes in Computer
Science: Proceeding of the Fifth International Workshop on Classifier Fusion,
pp. 154-163, 2004. (pdf) K. Goebel and W. Yan and K. Goebel, Designing
Classifier Ensembles with Constrained Performance Requirements, Proceedings
of SPIE; Multisensor, Multisource Information Fusion: Architectures, Algorithms,
and Applications 2004, pp. 59-68, 2004. (pdf) W. Yan, K. Goebel, and C. J. Li,
Flight Regime Mapping for Aircraft Engine Fault Diagnosis, Proceedings of the
58th, Meeting of the Society of Mechanical Failures Prevention Technology,
Virginia Beach, VA, April 26-30, 2004, Eds.: H. C. Pusey, S. C. Pusey and W.
R. Hobbs, MFPT, Winchester, VA, pp. 153-164, 2004. (pdf) K. Goebel, N. Eklund, and B.
Brunell, Rapid Fault Detection for Safety Critical Aircraft Engine Operation,
2004 IEEE Aerospace Conference Proceedings, z11_0104, 2004. (pdf) K. Goebel, Incremental Performance
Improvement during Development of Diagnostic Algorithms, 2003 ASA
Proceedings, Joint Statistical Meeting, Quality and Productivity Research
Conference, pp. 4823-4831, 2003. (pdf) K. Goebel, M. Dometita, and C.
Graichen, Mapping Heterogeneous Information to Facilitate Fusion for Improved
Lifing Estimates, Proceedings of the 6th Annual Conference on Information
Fusion, Fusion 2003, pp. 364-371, 2003. (pdf) M. Krok and K. Goebel, Prognostics
for advanced compressor health monitoring, Proceedings of SPIE, System
Diagnosis and Prognosis: Security and Condition Monitoring Issues III, Vol.
#5107, pp.1-12, 2003. (pdf) K. Goebel, Sensitivity of fusion performance
to classifier model variations, Proceedings of SPIE, Multisensor, Multisource
Information Fusion: Architectures, Algorithms, and Applications VII, pp.
39-46, 2003. (pdf) W. Yan and K. Goebel, Sensor
Validation and Fusion for Gas Turbine Vibration Monitoring, Proceedings of
SPIE, System Diagnosis and Prognosis: Security and Condition Monitoring
Issues III, Vol. #5107, pp. 106-117, 2003. (pdf) P. Bonissone and K. Goebel, When
will it break? A Hybrid Soft Computing Model to Predict Time-to-break Margins
in Paper Machines, Proceedings of SPIE 47th Annual Meeting, International
Symposium on Optical Science and Technology, Vol. #4787, pp. 53-64, 2002. (pdf) K. Goebel and W. Yan, Fusing Binary
and Continuous Output of Multiple Classifiers, Proceedings of the Fifth
International Conference on Information Fusion, Fusion 2002, vol. 1, pp.
380-387, 2002. (pdf) W. Yan, K. Goebel, and J. Li,
Classifier Performance Measures in Multi-Fault Diagnosis for Aircraft
Engines, Proceedings of SPIE, Component and Systems Diagnostics, Prognostics,
and Health Management II, vol. 4733, pp. 88-97, 2002. (pdf) P. Bonissone, K. Goebel, and Y.
Chen, Predicting Wet-End Web Breakage in Paper Mills, Working Notes of the
2002 AAAI symposium: Information Refinement and Revision for Decision Making:
Modeling for Diagnostics, Prognostics, and Prediction, Technical Report
SS-02-03, AAAI Press, K. Goebel and K. Goebel, W. Yan, and W. Cheetham,
A Method to Calculate Classifier Correlation for Decision Fusion, Proceedings
of IDC 2002, Adelaide, 11-13 February, 2002., pp. 135-140, 2002. (pdf) P. Bonissone and K. Goebel, Soft
Computing Applications in Equipment Maintenance and Service, Proceedings of
Joint 9th IFSA World Congress and 20th NAFIPS international Conference,
Vancouver, BC, Canada, July 25-28, 2001; vol. 5, Eds: Smith, M.H., Gruver,
W.A., Hall, L.O., pp. 2752-2757, 2001. (pdf) K. Goebel, Conflict Resolution
using Strengthening and Weakening Operations in Decision Fusion, Proceedings
of the 4th Annual Conference on Information Fusion, Fusion 2001, pp. ThA1-19
- ThA1-25, 2001. (pdf) W. Cheetham, A. Varma, and K.
Goebel, Case Based Reasoning at General Electric, Proceedings of FLAIRS ’01,
Key West, FL., pp. 93-97, 2001. (pdf) K. Goebel and S. Mysore, Taking Advantage
of Misclassifications to Boost Classification Rate in Decision Fusion,
Proceedings of SPIE, Sensor Fusion: Architectures, Algorithms, and
Applications V, pp. 11-20, 2001. (pdf) K. Goebel, Decision Forgetting and
Decision Smoothing for Diagnostic Information Fusion in Systems with
Redundant Information, Proceedings of SPIE, Sensor Fusion: Architectures,
Algorithms, and Applications IV, Vol. 4051, pp. 438-445, 2000. (pdf) K. Goebel, M. Krok, and H.
Sutherland; , Diagnostic Information Fusion: Requirements Flowdown and
Interface Issues, Proceedings of the IEEE 2000 Aerospace Conference –
Advanced Reasoner and Information Fusion Techniques, vol. 6, pp. 155-162,
2000. (pdf) K. Goebel and W. Yan, Feature
Selection for Tool Wear Diagnosis Using Soft Computing Techniques,
Proceedings of the ASME, Manufacturing in Engineering Division, (MED-Vol.11),
pp. 157-163, 2000. (pdf) M. Garbiras and K. Goebel, Fusing
Diagnostic Information Fusion without A priori Performance Knowledge,
Proceedings of the 3rd Intl. Conference on Information Fusion, Fusion 2000,
vol. 1, pp. TuD5-9 – TuD5-16, 2000.(pdf) K. Goebel, V. Badami, and A.
Perera, Diagnostic Information Fusion for Manufacturing Processes,
Proceedings of the 2nd International Conference on Information Fusion, Fusion
’99, vol. 1, pp. 331-336, 1999. (pdf) K. Goebel and A. Agogino, Fuzzy
Sensor Fusion of Gas Turbine Power Plants, Proceedings of SPIE, Sensor Fusion:
Architecture, Algorithms, and Applications III, Vol. 3719, 7-9 April ’99, pp.
52-61, 1999. (pdf) P. Bonissone and K. Goebel, Soft
Computing Techniques for Diagnostics and Prognostics, Working Notes of the
1999 AAAI Spring Symposium: AI in Equipment Maintenance Service &
Support, Technical Report SS-99-04, AAAI Press, Menlo Park, CA, pp. 68-81,
1999. (pdf) K. Goebel and A. Agogino, Towards
Fuzzy Belief Nets, Working Notes of the 1999 AAAI Spring Symposium: AI in
Equipment Maintenace Service & Support, Technical Report SS-99-04, AAAI
Press, Menlo Park, CA , pp. 60-67, 1999. (pdf) K. Goebel, A. Agogino and S. Alag,
Probabilistic and Fuzzy Methods for Sensor Validation and Fusion in Vehicle
Guidance: A Comparison, Proceedings of ISATA '97, 30th International
Symposium on Automotive Technology & Automation, (dedicated conference on
fuzzy systems/soft computing in the automotive and transportation industry;
Florence, Italy, Vol. 1: Mechatronics/Automotive Electronics, pp. 711-719,
1997. (pdf) K. Goebel and A. Agogino, An
Architecture for Fuzzy Sensor Validation and Fusion for Vehicle Following in
Automated Highways, Proceedings of the 29th International Symposium on
Automotive Technology and Automation (ISATA), Dedicated Conference on Fuzzy
Systems/Soft Computing in the Automotive and Transportation Industry, Florence,
Italy, pp. 203-209, 1996. (pdf) A. Agogino, S. Alag, and K. Goebel,
A Framework for Intelligent Sensor Validation, Sensor Fusion, and Supervisory
Control of Automated Vehicles in IVHS, Intelligent Transportation: Serving
the User through Deployment, Proceedings of the 1995 Annual Meeting of ITS
America, Washington, D.C., pp. 77-87, 1995. (pdf) S. Alag, K. Goebel, and A. Agogino,
A Methodology for Intelligent Sensor Validation and Fusion used in Tracking
and Avoidance of Objects for Automated Vehicles, Proceedings of American
Control Conference (ACC T95), pp. 3647-3653, 1995. (pdf) K. Goebel, B. Wood, A. Agogino and
P. Jain, Comparing a Neural-Fuzzy Scheme with a Probabilistic Neural Network
for Applications to Monitoring and Diagnostics in Manufacturing Systems,
Working Notes of the 1994 AAAI Spring Symposium “Detecting and Resolving
Errors in Manufacturing Systems”, Technical Report SS-99-04, Palo Alto, CA, ,
pp. 45-50, 1994. (pdf) K. Goebel and P. Wright, Monitoring and Diagnosing Manufacturing Processes Using a Hybrid Architecture with Neural Networks and Fuzzy Logic, Proceedings of EUFIT 1993, Aachen, Germany, vol. 2, pp. 574-580, 1993. (pdf) |
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