Dr. Narayan Kovvali Profile

Dr. Narayan Kovvali

at Arizona State Univ

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Author

Publications (12)

Proceedings Article | 20 November 2013 Paper

Active sensing waveform design for estimating progressive fatigue damage in structures

Daniel Huff, Narayan Kovvali, Antonia Papandreou-Suppappola, Aditi Chattopadhyay, Subhasish Mohanty

Proceedings Volume 8694, 869413 (2013) https://doi.org/10.1117/12.2012278

KEYWORDS: Particles, Sensors, Time-frequency analysis, Active remote sensing, Structural health monitoring, Stochastic processes, Receivers, Data modeling, Error analysis, Transducers

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Proceedings Article | 6 June 2013 Paper

Applying matching pursuit decomposition time-frequency processing to UGS footstep classification

Brett Larsen, Hugh Chung, Alfonso Dominguez, Jacob Sciacca, Narayan Kovvali, Antonia Papandreou-Suppappola, David Allee

Proceedings Volume 8711, 871104 (2013) https://doi.org/10.1117/12.2015498

KEYWORDS: Associative arrays, Time-frequency analysis, Chemical species, Sensors, Unattended ground sensors, Gait analysis, Signal processing, Feature extraction, Interference (communication), Flexible displays

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Proceedings Article | 17 April 2013 Paper

Temperature-independent localization algorithm using guided wave interrogation methods

Kevin Hensberry, Narayan Kovvali, Aditi Chattopadhyay

Proceedings Volume 8695, 86952A (2013) https://doi.org/10.1117/12.2009885

KEYWORDS: Sensors, Chemical species, Aluminum, Temperature metrology, Data modeling, Transducers, Associative arrays, Ferroelectric materials, Signal processing, Sensor fusion

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Proceedings Article | 26 April 2011 Paper

Adaptive measurement selection for progressive damage estimation

Wenfan Zhou, Narayan Kovvali, Antonia Papandreou-Suppappola, Aditi Chattopadhyay, Pedro Peralta

Proceedings Volume 7981, 798127 (2011) https://doi.org/10.1117/12.882029

KEYWORDS: Sensors, Statistical analysis, Manganese, Particles, Particle filters, Monte Carlo methods, Time metrology, Aluminum, Ferroelectric materials, Error analysis

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Proceedings Article | 18 April 2011 Paper

Structural damage detection with insufficient data using transfer learning techniques

Debejyo Chakraborty, Narayan Kovvali, Bhavana Chakraborty, Antonia Papandreou-Suppappola, Aditi Chattopadhyay

Proceedings Volume 7981, 798147 (2011) https://doi.org/10.1117/12.882025

KEYWORDS: Sensors, Data modeling, Structural health monitoring, Aluminum, Statistical analysis, Time-frequency analysis, Damage detection, Classification systems, Data processing, Performance modeling

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Proceedings Article | 9 April 2010 Paper

Sensor optimization for progressive damage diagnosis in complex structures

Wenfan Zhou, Narayan Kovvali, Antonia Papandreou-Suppappola, Aditi Chattopadhyay

Proceedings Volume 7650, 76502S (2010) https://doi.org/10.1117/12.848910

KEYWORDS: Sensors, Thermal modeling, Particles, Monte Carlo methods, Stochastic processes, Particle filters, Error analysis, Actuators, Statistical analysis, Optimization (mathematics)

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Proceedings Article | 9 April 2010 Paper

Active learning data selection for adaptive online structural damage estimation

Debejyo Chakraborty, Narayan Kovvali, Antonia Papandreou-Suppappola, Aditi Chattopadhyay

Proceedings Volume 7649, 764915 (2010) https://doi.org/10.1117/12.848891

KEYWORDS: Time-frequency analysis, Sensors, Feature extraction, Associative arrays, Structural health monitoring, Statistical analysis, Aluminum, Data modeling, Algorithm development, Stochastic processes

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Proceedings Article | 17 April 2009 Paper

A comparative study of fatigue damage sensing in aluminum alloys using electrical impedance and laser ultrasonic methods

Lindsey Channels, Debejyo Chakraborty, Brad Butrym, Narayan Kovvali, James Spicer, Antonia Papandreou-Suppappola, Mana Afshari, Daniel Inman, Aditi Chattopadhyay

Proceedings Volume 7295, 72950Q (2009) https://doi.org/10.1117/12.815980

KEYWORDS: Ultrasonics, Aluminum, Signal attenuation, Time-frequency analysis, Stochastic processes, Chemical species, Associative arrays, Algorithm development, Transducers, Data acquisition

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Proceedings Article | 3 April 2008 Paper

Ultrasonic sensing and time-frequency analysis for detecting plastic deformation in an aluminum plate

Lindsey Channels, Debejyo Chakraborty, Donna Simon, Narayan Kovvali, James Spicer, Antonia Papandreou-Suppappola, Douglas Cochran, Pedro Peralta, Aditi Chattopadhyay

Proceedings Volume 6926, 69260P (2008) https://doi.org/10.1117/12.776625

KEYWORDS: Ultrasonics, Time-frequency analysis, Associative arrays, Aluminum, Ultrasonography, Transducers, Chemical species, Signal attenuation, Interferometers, Sensors

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Proceedings Article | 3 April 2008 Paper

Physics based modeling for time-frequency damage classification

Debejyo Chakraborty, Sunilkumar Soni, Jun Wei, Narayan Kovvali, Antonia Papandreou-Suppappola, Douglas Cochran, Aditi Chattopadhyay

Proceedings Volume 6926, 69260M (2008) https://doi.org/10.1117/12.776628

KEYWORDS: Signal to noise ratio, Data modeling, Time-frequency analysis, 3D modeling, Interference (communication), Finite element methods, Physics, Chemical species, Performance modeling, Sensors

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Proceedings Article | 3 April 2008 Paper

Sensor fusion and damage classification in composite materials

Wenfan Zhou, Whitney Reynolds, Albert Moncada, Narayan Kovvali, Aditi Chattopadhyay, Antonia Papandreou-Suppappola, Douglas Cochran

Proceedings Volume 6926, 69260N (2008) https://doi.org/10.1117/12.776608

KEYWORDS: Sensor fusion, Sensors, Data modeling, Composites, Feature extraction, Ferroelectric materials, Time-frequency analysis, Chemical species, Quantization, Data fusion

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Proceedings Article | 18 April 2007 Paper

Hidden Markov model based classification of structural damage

Wenfan Zhou, Narayan Kovvali, Antonia Papandreou-Suppappola, Douglas Cochran, Aditi Chattopadhyay

Proceedings Volume 6523, 652311 (2007) https://doi.org/10.1117/12.716132

KEYWORDS: Data modeling, Time-frequency analysis, Associative arrays, Chemical species, Feature extraction, Expectation maximization algorithms, Aluminum, Quantization, Distortion, Statistical modeling

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Showing 5 of 12 publications

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