Dr. Kai F. Goebel Profile

Dr. Kai F. Goebel

Sr Research Scientist at GE Research

SPIE Involvement:

Author

Publications (16)

Proceedings Article | 18 April 2006 Paper

Fusing diverse monitoring algorithms for robust change detection

Kai Goebel, Xiao Hu, Neil Eklund, Weizhong Yan

Proceedings Volume 6242, 62420M (2006) https://doi.org/10.1117/12.665922

KEYWORDS: Diagnostics, Neural networks, Sensors, Data modeling, Detection and tracking algorithms, Neurons, Performance modeling, Error analysis, Information fusion, Feature extraction

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Proceedings Article | 30 March 2006 Paper

Defect classification of highly noisy NDE data using classifier ensembles

Kai Goebel, Weizhong Yan, Neil Eklund, Xiao Hu, Viswanath Avasarala, Jose Celaya

Proceedings Volume 6167, 61671O (2006) https://doi.org/10.1117/12.659704

KEYWORDS: Sensors, Nondestructive evaluation, Feature selection, Feature extraction, Neural networks, Principal component analysis, Diagnostics, Error analysis, Neurons, Solids

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Proceedings Article | 30 March 2006 Paper

Sensor validation in non-destructive evaluation using clustering

Viswanath Avasarala, Jose Celaya, Kai Goebel, Neil Eklund

Proceedings Volume 6167, 61671F (2006) https://doi.org/10.1117/12.659697

KEYWORDS: Sensors, Nondestructive evaluation, Detection and tracking algorithms, Interference (communication), Solids, Feature extraction, Algorithm development, Pattern recognition, Visualization, Computing systems

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Proceedings Article | 9 May 2005 Paper

Feature selection for partial discharge diagnosis

Weizhong Yan, Kai Goebel

Proceedings Volume 5768, (2005) https://doi.org/10.1117/12.599819

KEYWORDS: Feature selection, Feature extraction, Diagnostics, Statistical analysis, Classification systems, Palladium, Stochastic processes, Genetic algorithms, Reliability, Dielectrics

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Proceedings Article | 28 March 2005 Paper

Using correlation-based measures to select classifiers for decision fusion

Kai Goebel, Weizhong Yan

Proceedings Volume 5813, (2005) https://doi.org/10.1117/12.603981

KEYWORDS: Fourier transforms, Binary data, Neodymium, Visualization, Distributed computing, Feature selection, Information fusion, Computer simulations, Nonlinear filtering, Defect detection

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Proceedings Article | 24 February 2005 Paper

Fast detection of line features in large images

Thomas Sebastian, Kai Goebel, Tahs Saleh

Proceedings Volume 5679, (2005) https://doi.org/10.1117/12.591649

KEYWORDS: Inspection, Sensors, Image segmentation, Feature extraction, Neuroimaging, Brain, Reliability, Machine vision, Electronic imaging, Distortion

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Proceedings Article | 12 April 2004 Paper

Designing classifier ensembles with constrained performance requirements

Weizhong Yan, Kai Goebel

Proceedings Volume 5434, (2004) https://doi.org/10.1117/12.542616

KEYWORDS: Neural networks

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Proceedings Article | 8 August 2003 Paper

Sensor validation and fusion for gas turbine vibration monitoring

Weizhong Yan, Kai Goebel

Proceedings Volume 5107, (2003) https://doi.org/10.1117/12.487206

KEYWORDS: Sensors, Information fusion, Feature extraction, Sensor fusion, Data fusion, Environmental sensing, Data transmission, Reliability, Gas sensors, Sensor performance

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Proceedings Article | 8 August 2003 Paper

Prognostics for advanced compressor health monitoring

Michael Krok, Kai Goebel

Proceedings Volume 5107, (2003) https://doi.org/10.1117/12.497300

KEYWORDS: Diagnostics, Reliability, Sensors, Model-based design, Detection and tracking algorithms, Information fusion, Filtering (signal processing), Wavelets, Signal detection, Systems modeling

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Proceedings Article | 1 April 2003 Paper

Sensitivity of fusion performance to classifier model variations

Kai Goebel

Proceedings Volume 5099, (2003) https://doi.org/10.1117/12.487284

KEYWORDS: Performance modeling, Monte Carlo methods, Diagnostics, Diffractive optical elements, Algorithm development, Corrosion, Information fusion, Feature extraction, Visualization, Computer simulations

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Proceedings Article | 6 December 2002 Paper

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

Piero Bonissone, Kai Goebel

Proceedings Volume 4787, (2002) https://doi.org/10.1117/12.455868

KEYWORDS: Data modeling, Principal component analysis, Sensors, Process modeling, Digital filtering, Feature selection, Computer simulations, Fuzzy logic, Fuzzy systems, Data acquisition

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Proceedings Article | 16 July 2002 Paper

Classifier performance measures in multifault diagnosis for aircraft engines

Weizhong Yan, Kai Goebel, James Li

Proceedings Volume 4733, (2002) https://doi.org/10.1117/12.475498

KEYWORDS: Diagnostics, Fluctuations and noise, Matrices, Neural networks, Reliability, Curium, Failure analysis, Mechanical engineering, Complex systems, Visualization

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Proceedings Article | 6 March 2002 Paper

Factoring a priori classifier performance into decision fusion

Kai Goebel, Shreesh Mysore

Proceedings Volume 4731, (2002) https://doi.org/10.1117/12.458386

KEYWORDS: Diagnostics, Information fusion, Matrices, Data fusion, Reliability, Sensors, Neural networks, Data modeling, Model-based design, Control systems design

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Proceedings Article | 22 March 2001 Paper

Taking advantage of misclassifications to boost classification rate in decision fusion

Kai Goebel, Shreesh Mysore

Proceedings Volume 4385, (2001) https://doi.org/10.1117/12.421103

KEYWORDS: Information fusion, Diagnostics, Fuzzy logic, Sensors, Classification systems, Fluctuations and noise, Neural networks, Model-based design, Data modeling, Matrices

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Proceedings Article | 3 April 2000 Paper

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

Kai Goebel

Proceedings Volume 4051, (2000) https://doi.org/10.1117/12.381659

KEYWORDS: Diagnostics, Information fusion, Data fusion, Fluctuations and noise, Classification systems, Dynamical systems, Boron, Nanoimprint lithography, Image classification, Pattern recognition

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Proceedings Article | 12 March 1999 Paper

Fuzzy sensor fusion for gas turbine power plants

Kai Goebel, Alice Agogino

Proceedings Volume 3719, (1999) https://doi.org/10.1117/12.341370

KEYWORDS: Sensors, Sensor fusion, Fuzzy logic, Temperature metrology, Combustion, Algorithm development, Data fusion, Gas sensors, Temperature sensors, Failure analysis

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Showing 5 of 16 publications

Conference Committee Involvement (4)

Multisensor, Multisource Information Fusion: Architectures, Algorithms, and Applications 2006

19 April 2006 | Orlando (Kissimmee), Florida, United States

Multisensor, Multisource Information Fusion: Architectures, Algorithms, and Applications 2005

30 March 2005 | Orlando, Florida, United States

Multisensor, Multisource Information Fusion: Architectures, Algorithms, and Applications 2004

14 April 2004 | Orlando, Florida, United States

Multisensor, Multisource Information Fusion: Architectures, Algorithms, and Applications

23 April 2003 | Orlando, Florida, United States

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