Dr. Michael D. Todd Profile

Dr. Michael D. Todd

Prof of Structural Engg at Univ of California San Diego

SPIE Involvement:

Author

Area of Expertise:

fiber Bragg grating sensing , uncertainty quantification , structural health monitoring

Websites:

Personal Website

Publications (71)

Proceedings Article | 31 March 2021 Presentation + Paper

Active scour monitoring using ultrasonic time-domain reflectometry to detect a soil interface

Morgan Funderburk, Michael Todd, Anton Netchaev, Kenneth Loh

Proceedings Volume 11591, 1159113 (2021) https://doi.org/10.1117/12.2582457

KEYWORDS: Ultrasonics, Reflectometry, Wave propagation, Sensors, Microsoft Foundation Class Library, Interfaces, Aluminum, Soil science, Safety, Composites

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Proceedings Article | 27 March 2018 Paper

The effects of damage accumulation in optimizing a piezoelectric energy harvester configuration

Eric Kjolsing, Michael Todd

Proceedings Volume 10598, 105982R (2018) https://doi.org/10.1117/12.2283053

KEYWORDS: Motion models, Capacitance, Structural health monitoring, Energy harvesting, Motion analysis, Structural engineering

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Proceedings Article | 27 March 2018 Presentation + Paper

Statistical damage detection based on full-field covariance of circumferential scan ultrasonic measurement

See Yenn Chong, Michael Todd

Proceedings Volume 10600, 106002J (2018) https://doi.org/10.1117/12.2297601

KEYWORDS: Ultrasonography, Ultrasonics, Damage detection, Data acquisition, Inspection, Laser systems engineering, Sensors, Laser scanners, Aluminum, Raster graphics

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Proceedings Article | 5 April 2017 Presentation + Paper

Full-field ultrasonic inspection for a composite sandwich plate skin-core debonding detection using laser-based ultrasonics

See Yenn Chong, Jared Victor, Michael Todd

Proceedings Volume 10170, 1017007 (2017) https://doi.org/10.1117/12.2258574

KEYWORDS: Ultrasonics, Inspection, Composites, Signal processing, Waveguides, Acoustics, Laser systems engineering, Algorithm development, Detection and tracking algorithms, Bandpass filters, Ultrasonography, Continuous wavelet transforms, Sensors, Filtering (signal processing)

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Proceedings Article | 15 April 2016 Paper

The impact of boundary conditions and fluid velocity on damping for a fluid conveying pipe in a viscous fluid

Eric Kjolsing, Michael Todd

Proceedings Volume 9799, 979922 (2016) https://doi.org/10.1117/12.2219319

KEYWORDS: Energy harvesting, Systems modeling, Error analysis, Lanthanum, Motion models, Fluid dynamics, Smart structures, System integration, Current controlled current source

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Proceedings Article | 15 April 2016 Paper

Gauging the feasibility of a downhole energy harvesting system through a proof-of-concept study

Eric Kjolsing, Michael Todd

Proceedings Volume 9799, 97992K (2016) https://doi.org/10.1117/12.2219313

KEYWORDS: Energy harvesting, Structural design, Prototyping, Motion models, Software development, MATLAB, Finite element methods, Lanthanum, Patents, Smart structures, System integration

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Proceedings Article | 3 April 2015 Paper

A frequency study of a clamped-clamped pipe immersed in a viscous fluid conveying internal steady flow for use in energy harvester development as applied to hydrocarbon production wells

Eric Kjolsing, Michael Todd

Proceedings Volume 9435, 943505 (2015) https://doi.org/10.1117/12.2084368

KEYWORDS: Fluid dynamics, Energy harvesting, Scanning electron microscopy, Environmental monitoring, Standards development, Motion models, Lanthanum, Systems modeling, Environmental sensing, Sensors

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Proceedings Article | 23 March 2015 Paper

A haptic-inspired audio approach for structural health monitoring decision-making

Zhu Mao, Michael Todd, David Mascareñas

Proceedings Volume 9438, 943821 (2015) https://doi.org/10.1117/12.2084464

KEYWORDS: Computer programming, Structural health monitoring, Haptic technology, Ultrasonics, Waveguides, Neodymium, Sensors, Structural engineering, Lanthanum, Scattering

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Proceedings Article | 23 March 2015 Paper

Uncertainty quantification of relative acoustic nonlinearity parameter of guided waves for damage detection in composite structures

Ming Hong, Zhu Mao, Michael Todd, Zhongqing Su, Xinlin Qing

Proceedings Volume 9438, 94380A (2015) https://doi.org/10.1117/12.2084182

KEYWORDS: Composites, Waveguides, Damage detection, Acoustics, Statistical analysis, Carbon, Signal processing, Second-harmonic generation, Wave propagation, Semiconducting wafers

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Proceedings Article | 9 March 2014 Paper

Monitoring bolt torque levels through signal processing of full-field ultrasonic data

Colin Haynes, Michael Yeager, Michael Todd, Jung-Ryul Lee

Proceedings Volume 9064, 906428 (2014) https://doi.org/10.1117/12.2045024

KEYWORDS: Waveguides, Wave propagation, Ultrasonics, Sensors, Laser systems engineering, Signal processing, Head, Ultrasonography, Laser scanners, Structural health monitoring

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Proceedings Article | 9 March 2014 Paper

Broadband energy harvesting via adaptive control of bistable potential energy separatrix

Scott Ouellette, Michael Todd

Proceedings Volume 9057, 90570Y (2014) https://doi.org/10.1117/12.2044866

KEYWORDS: Magnetism, Energy harvesting, Iron, Adaptive control, Stochastic processes, Oscillators, Complex systems, Electromagnetism, Actuators, Actinium

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Proceedings Article | 9 March 2014 Paper

Robust evaluation of time series classification algorithms for structural health monitoring

Dustin Harvey, Keith Worden, Michael Todd

Proceedings Volume 9064, 90640K (2014) https://doi.org/10.1117/12.2044790

KEYWORDS: Structural health monitoring, Machine learning, Data modeling, Feature extraction, Classification systems, Systems modeling, Model-based design, Error analysis, Genetics, Aerospace engineering

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Proceedings Article | 19 April 2013 Paper

Uncertainty quantification of a corrosion-enabled energy harvester for low-power sensing applications

Scott Ouellette, Michael Todd

Proceedings Volume 8692, 86921G (2013) https://doi.org/10.1117/12.2009788

KEYWORDS: Resistance, Corrosion, Sensors, Data acquisition, Data modeling, Cements, Switches, Energy harvesting, Resistors, Monte Carlo methods

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Proceedings Article | 17 April 2013 Paper

Automated extraction of damage features through genetic programming

Dustin Harvey, Michael Todd

Proceedings Volume 8695, 86950J (2013) https://doi.org/10.1117/12.2009739

KEYWORDS: Signal detection, Genetics, Computer programming, Structural health monitoring, Feature extraction, Sensors, Algorithm development, Evolutionary algorithms, Machine learning, Linear filtering

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Proceedings Article | 17 April 2013 Paper

Uncertainty quantification of a guided wave structural health monitoring system for composite bolted joints

Colin Haynes, Michael Todd

Proceedings Volume 8695, 86952W (2013) https://doi.org/10.1117/12.2011929

KEYWORDS: Sensors, Structural health monitoring, Scattering, Composites, Ultrasonics, Microsoft Foundation Class Library, Error analysis, Waveguides, Damage detection, Inspection

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Proceedings Article | 17 April 2013 Paper

Damage detection using vector auto-regressive models

Zongming Huang, Gang Liu, Michael Todd, Zhu Mao

Proceedings Volume 8695, 86953E (2013) https://doi.org/10.1117/12.2012248

KEYWORDS: Sensors, Data modeling, Damage detection, Structural health monitoring, Mahalanobis distance, Statistical modeling, Matrices, Receivers, Bridges, Model-based design

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Proceedings Article | 17 April 2013 Paper

Frequency response feature selection in a Bayesian framework

Zhu Mao, Michael Todd

Proceedings Volume 8695, 869535 (2013) https://doi.org/10.1117/12.2009686

KEYWORDS: Structural health monitoring, Feature selection, Data modeling, Data acquisition, Systems modeling, Signal to noise ratio, Feature extraction, Signal processing, Statistical modeling, Damage detection

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Proceedings Article | 11 April 2013 Paper

A locally exact strain-to-displacement approach for shape reconstruction of slender objects using fiber Bragg gratings

Michael Todd, Christopher Stull, Mike Dickerson

Proceedings Volume 8693, 869302 (2013) https://doi.org/10.1117/12.2009898

KEYWORDS: Sensors, Fiber Bragg gratings, Monte Carlo methods, Epoxies, Error analysis, Radon, 3D modeling, Chemical elements, Fourier transforms, Solids

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Proceedings Article | 5 May 2012 Paper

Performance limitations of a white light extrinsic Fabry-Perot interferometric displacement sensor

Erik Moro, Michael Todd, Anthony Puckett

Proceedings Volume 8370, 83700P (2012) https://doi.org/10.1117/12.914709

KEYWORDS: Sensors, Lawrencium, Sensor performance, Interferometry, Doppler effect, Data acquisition, Fiber optics sensors, Interferometers, Digital signal processing, Optical sensors

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Proceedings Article | 20 April 2012 Paper

Uncertainty propagation of transmissibility-based structural health monitoring features

Zhu Mao, Michael Todd

Proceedings Volume 8348, 834811 (2012) https://doi.org/10.1117/12.915025

KEYWORDS: Statistical analysis, Structural health monitoring, Statistical modeling, Neodymium, Damage detection, System identification, Data modeling, Environmental sensing, Biological research, Mathematical modeling

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Proceedings Article | 20 April 2012 Paper

Cointegration as a data normalization tool for structural health monitoring applications

Dustin Harvey, Michael Todd

Proceedings Volume 8348, 834810 (2012) https://doi.org/10.1117/12.915226

KEYWORDS: Autoregressive models, Structural health monitoring, Feature extraction, Damage detection, Monte Carlo methods, Temperature metrology, Data modeling, Dimension reduction, Environmental monitoring, Environmental sensing

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Proceedings Article | 18 April 2012 Paper

Bayesian probabilistic modeling for damage assessment in a bolted frame

Colin Haynes, Michael Todd

Proceedings Volume 8348, 83480D (2012) https://doi.org/10.1117/12.914635

KEYWORDS: Sensors, Structural health monitoring, Inspection, Ultrasonics, Signal processing, Waveguides, Data acquisition, Binary data, Damage detection, Ferroelectric materials

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Proceedings Article | 3 April 2012 Paper

Ultra low-power corrosion-enabled sensor node

Scott Ouellette, Michael Todd

Proceedings Volume 8345, 834523 (2012) https://doi.org/10.1117/12.915290

KEYWORDS: Resistance, Sensors, Electronics, Power supplies, Capacitors, Field effect transistors, Structural health monitoring, Energy harvesting, Corrosion, Resistors

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Proceedings Article | 30 March 2012 Paper

Performance optimization of bundled fiber optic displacement sensors

Erik Moro, Michael Todd, Anthony Puckett

Proceedings Volume 8346, 83460S (2012) https://doi.org/10.1117/12.914707

KEYWORDS: Sensors, Fiber optics sensors, Signal to noise ratio, Prototyping, Sensor performance, Fiber optics, Genetic algorithms, Data acquisition, Reflectivity, Environmental sensing

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Proceedings Article | 30 March 2012 Paper

Full-scale fatigue tests of CX-100 wind turbine blades. Part II: analysis

Stuart Taylor, Hyomi Jeong, Jae Kyeong Jang, Gyuhae Park, Kevin Farinholt, Michael Todd, Curtt Ammerman

Proceedings Volume 8343, 83430Q (2012) https://doi.org/10.1117/12.917497

KEYWORDS: Sensors, Wave propagation, Structural health monitoring, Analytical research, Principal component analysis, Data acquisition, Autoregressive models, Manufacturing, Diagnostics, Wind turbine technology

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Proceedings Article | 18 May 2011 Paper

Performance characterization of an intensity-modulated fiber optic displacement sensor

Erik Moro, Michael Todd, Anthony Puckett

Proceedings Volume 7753, 775368 (2011) https://doi.org/10.1117/12.882869

KEYWORDS: Sensors, Fiber optics sensors, Fiber optics, Sensor performance, Data modeling, Optical testing, Photodetectors, Optical simulations, Fiber optics tests, Optical fibers

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Proceedings Article | 28 April 2011 Paper

Embedded processing for SHM with integrated software control of a wireless impedance device

Stuart Taylor, Joetta Carroll, Kevin Farinholt, Gyuhae Park, Charles Farrar, Michael Todd

Proceedings Volume 7979, 797904 (2011) https://doi.org/10.1117/12.881976

KEYWORDS: Sensors, Structural health monitoring, Diagnostics, Sensor networks, MATLAB, Ferroelectric materials, Bridges, Control systems, Data storage, Data acquisition

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Proceedings Article | 28 April 2011 Paper

Direct operational load monitoring approach for structural prognosis

Howard Matt, Kevin Napolitano, Michael Todd, Shawn Hertz

Proceedings Volume 7979, 797906 (2011) https://doi.org/10.1117/12.879937

KEYWORDS: Connectors, Calibration, Structural health monitoring, Interfaces, Missiles, Sensors, Data modeling, Motion measurement, Signal to noise ratio, Diagnostics

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Proceedings Article | 18 April 2011 Paper

Maximum a posteriori probability estimation for localizing damage using ultrasonic guided waves

Eric Flynn, Michael Todd, Paul Wilcox, Bruce Drinkwater, Anthony Croxford

Proceedings Volume 7984, 79842K (2011) https://doi.org/10.1117/12.880657

KEYWORDS: Transducers, Sensors, Statistical analysis, Waveguides, Structural health monitoring, Ultrasonics, Actuators, Nonlinear filtering, Electronic filtering, Algorithm development

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Proceedings Article | 18 April 2011 Paper

Statistical quantification of the uncertainty in transmissibility feature for structural condition binary classification

Zhu Mao, Michael Todd

Proceedings Volume 7984, 79842H (2011) https://doi.org/10.1117/12.879914

KEYWORDS: Binary data, System identification, Receivers, Signal attenuation, Analytical research, Statistical analysis, Interference (communication), Contamination, Biological research, Defect detection

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Proceedings Article | 15 April 2011 Paper

Experimental verification of a model describing the intensity distribution from a single mode optical fiber

Erik Moro, Michael Todd, Anthony Puckett

Proceedings Volume 7982, 79820S (2011) https://doi.org/10.1117/12.879066

KEYWORDS: Sensors, Optical fibers, Fiber optics sensors, Radio propagation, Photodetectors, Demodulation, Data modeling, Electro optical modeling, Sensor performance, Transmittance

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Proceedings Article | 15 April 2011 Paper

Noise propagation in a 3x3 optical demodulation scheme used for fiber Bragg grating interrogation

Michael Todd

Proceedings Volume 7982, 79820A (2011) https://doi.org/10.1117/12.878694

KEYWORDS: Signal to noise ratio, Demodulation, Interference (communication), Interferometers, Homodyne detection, Fiber Bragg gratings, Systems modeling, Oscillators, Interferometry, Nonlinear optics

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Proceedings Article | 9 April 2010 Paper

A structural transmissibility measurements-based approach for system damage detection

Zhu Mao, Michael Todd

Proceedings Volume 7650, 76500G (2010) https://doi.org/10.1117/12.847253

KEYWORDS: Error analysis, Damage detection, Statistical analysis, Signal to noise ratio, Structural health monitoring, Data modeling, Statistical modeling, Satellites, Gallium, Analytical research

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Proceedings Article | 9 April 2010 Paper

Bayesian probabilistic structural modeling for optimal sensor placement in ultrasonic guided wave-based structural health monitoring

Eric Flynn, Michael Todd

Proceedings Volume 7648, 76480Z (2010) https://doi.org/10.1117/12.847744

KEYWORDS: Sensors, Transducers, Structural health monitoring, Scattering, Matrices, Ultrasonics, Actuators, Waveguides, Active remote sensing, Inspection

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Proceedings Article | 9 April 2010 Paper

A performance comparison of transducer designs for interferometric fiber optic accelerometers

Erik Moro, M. Todd, Anthony Puckett

Proceedings Volume 7648, 76480G (2010) https://doi.org/10.1117/12.847248

KEYWORDS: Transducers, Sensors, Interferometry, Fiber Bragg gratings, Optical fiber cables, Fiber optics, Fiber optics sensors, Optical fibers, Multiplexing, Demodulation

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Interferometric fiber optic accelerometers constitute a high-responsivity, high-resolution sensing architecture, with achievable sensitivities of several rad/g and resolutions in the micro-g range, depending on the specific configuration. Fiber Bragg grating (FBG) optical accelerometers offer ease of multiplexing but are inherently less sensitive than their interferometric counterparts. Fiber-based accelerometers have the usual optical advantages of being lightweight, electromagnetically immune, and non-spark emitting over traditional (piezo-electric) accelerometer architectures. Among fiber optic sensing methodologies, both interferometric and FBG accelerometers can be interrogated using phase-based demodulation, which offers advantages over intensity-based sensing schemes such as increased linearity, repeatability, and insensitivity to extraneous measurands. The performance of an accelerometer is often characterized in terms of its bandwidth, sensitivity, and resolution, all of which depend on the specific transducer design (the mechanical architecture) as well as the optical interrogation architecture. For a given optical interrogation architecture, a fundamental tradeoff exists in accelerometer transducer design between bandwidth and sensitivity; attempts to increase bandwidth will generally result in a decrease in sensitivity. This paper investigates the frequency and displacement characteristics that govern this tradeoff for several transducer configurations, in order to determine a pair of configurations that offer the greatest sensitivity for a given optical interrogation methodology (interferometric or FBG), at a prescribed bandwidth. The feasibility of several mechanical architectures is assessed based on the physical dimensions required for a given configuration to achieve a primary resonance of at least 15 kHz. The deflection of those configurations under their own self-weight is then considered a measure of accelerometer sensitivity in the measurement band below primary resonance. This paper has been reviewed by Los Alamos National Laboratory and received the following release number: LA-UR 10-00671.

Proceedings Article | 1 April 2010 Paper

SHMTools: a new embeddable software package for SHM applications

Eric Flynn, Samory Kpotufe, Dustin Harvey, Eloi Figueiredo, Stuart Taylor, Denis Dondi, Todor Mollov, Michal Todd, Tajana Simunic Rosing, Gyuhae Park, Charles Farrar

Proceedings Volume 7647, 764717 (2010) https://doi.org/10.1117/12.848234

KEYWORDS: Structural health monitoring, Feature extraction, MATLAB, Data acquisition, Sensors, Data modeling, Autoregressive models, Diamond, Mahalanobis distance, Prototyping

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Proceedings Article | 10 April 2009 Paper

Damage state evaluation of adhesive composite joints using chaotic ultrasonic waves

Timothy Fasel, Michael Todd, Gyuhae Park

Proceedings Volume 7295, 729511 (2009) https://doi.org/10.1117/12.815969

KEYWORDS: Autoregressive models, Ultrasonics, Signal processing, Microsoft Foundation Class Library, Composites, Damage detection, Databases, Adhesives, Structural health monitoring, Feature extraction

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Proceedings Article | 8 April 2009 Paper

Crack detection diagnostics using ultrasonic insonification and pattern recognition

Gregory J. Jarmer, Michael Todd

Proceedings Volume 7295, 72950T (2009) https://doi.org/10.1117/12.815393

KEYWORDS: Microsoft Foundation Class Library, Autoregressive models, Transducers, Sensors, Ultrasonics, Waveguides, Pattern recognition, Feature extraction, Modulation, Diagnostics

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Proceedings Article | 7 April 2009 Paper

Corrosion-enabled powering approach for structural health monitoring sensor networks

Scott Ouellette, David Mascarenas, Michael Todd

Proceedings Volume 7288, 728821 (2009) https://doi.org/10.1117/12.815397

KEYWORDS: Corrosion, Capacitors, Electrodes, Sensors, Sensor networks, Metals, Data acquisition, Structural health monitoring, Energy harvesting, Oxygen

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Proceedings Article | 7 April 2009 Paper

Energy harvesting and wireless energy transmission for embedded sensor nodes

Kevin Farinholt, Stuart Taylor, Nathan Miller, Wilfredo Sifuentes, Erik Moro, Gyuhae Park, Charles Farrar, Eric Flynn, David Mascarenas, Michael Todd

Proceedings Volume 7288, 728810 (2009) https://doi.org/10.1117/12.815529

KEYWORDS: Sensors, Antennas, Energy harvesting, Bridges, Ferroelectric materials, Structural health monitoring, Transducers, Capacitors, Thermoelectric materials, Wind energy

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Proceedings Article | 30 March 2009 Paper

Wireless impedance device for electromechanical impedance sensing and low-frequency vibration data acquisition

Stuart Taylor, Kevin Farinholt, Gyuhae Park, Charles Farrar, Eric Flynn, David Mascarenas, Michael Todd

Proceedings Volume 7292, 729228 (2009) https://doi.org/10.1117/12.815534

KEYWORDS: Sensors, Data acquisition, Structural health monitoring, Data storage, Sensor networks, Bridges, Connectors, Microcontrollers, Multiplexers, Data transmission

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Proceedings Article | 30 March 2009 Paper

Feature-specific optimal sensor placement for active sensing

Eric Flynn, Michael Todd

Proceedings Volume 7292, 729210 (2009) https://doi.org/10.1117/12.815377

KEYWORDS: Sensors, Active remote sensing, Actuators, Structural health monitoring, Sensor performance, Wave propagation, Signal attenuation, Scattering, Active sensors, Genetic algorithms

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Proceedings Article | 22 April 2008 Paper

Development of smart sensor node for hybrid health monitoring on PSC girders

Jae-Hyung Park, Dong-Soo Hong, Jeong-Tae Kim, M. Todd, D. Mascarenas

Proceedings Volume 6932, 693215 (2008) https://doi.org/10.1117/12.776622

KEYWORDS: Smart sensors, Picosecond phenomena, Sensors, Bridges, Linear filtering, Algorithm development, Signal processing, Microcontrollers, Microsoft Foundation Class Library, Performance modeling

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Proceedings Article | 16 April 2008 Paper

Structural health monitoring: an enabler for responsive satellites

Brandon Arritt, Lawrence Robertson, Benjamin Henderson, Lien Ouyang, Shawn Beard, Erik Clayton, Michael Todd, Derek Doyle, Andrei Zagrai, Steven Buckley, Jeffrey Ganley, Jeffry Welsh

Proceedings Volume 6935, 693513 (2008) https://doi.org/10.1117/12.776336

KEYWORDS: Satellites, Structural health monitoring, Space operations, Data modeling, Visual process modeling, Sensors, Satellite communications, 3D displays, Defense and security, Aluminum

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Proceedings Article | 11 April 2008 Paper

Demonstration of a roving-host wireless sensor network for rapid assessment monitoring of structural health

David D. Mascarenas, Eric Flynn, Kaisen Lin, Kevin Farinholt, Gyuhae Park, Rajesh Gupta, Michael Todd, Charles Farrar

Proceedings Volume 6933, 69330K (2008) https://doi.org/10.1117/12.775592

KEYWORDS: Antennas, Sensors, Capacitors, Switches, Bridges, Sensor networks, Microcontrollers, Structural health monitoring, Receivers, Distortion

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Proceedings Article | 10 April 2008 Paper

Optimized guided wave excitations for health monitoring of a bolted joint

Timothy Fasel, Colin Olson, Michael Todd

Proceedings Volume 6935, 69351N (2008) https://doi.org/10.1117/12.778527

KEYWORDS: Autoregressive models, Microsoft Foundation Class Library, Modulation, Evolutionary algorithms, Structural health monitoring, Waveguides, Ultrasonics, Detection and tracking algorithms, Feature extraction, Damage detection

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Proceedings Article | 10 April 2008 Paper

Active ultrasonic joint integrity adjudication for real-time structural health monitoring

Erik Clayton, Matthew Kennel, Timothy Fasel, Michael Todd, Mark Stabb, Brandon Arritt

Proceedings Volume 6935, 69350M (2008) https://doi.org/10.1117/12.776347

KEYWORDS: Autoregressive models, Ultrasonics, Structural health monitoring, Microsoft Foundation Class Library, Algorithm development, Signal processing, Data modeling, Satellites, Sensors, Performance modeling

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Proceedings Article | 8 April 2008 Paper

Comparison of shape reconstruction strategies in a complex flexible structure

Zhu Mao, Michael Todd

Proceedings Volume 6932, 69320H (2008) https://doi.org/10.1117/12.775931

KEYWORDS: Sensors, 3D modeling, Neural networks, Finite element methods, Data modeling, Mechanics, 3D metrology, Associative arrays, Fiber Bragg gratings, Shape memory alloys

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Proceedings Article | 11 April 2007 Paper

Damage identification through generalized correlations between measurements

L. Overbey, M. Todd

Proceedings Volume 6532, 65320Z (2007) https://doi.org/10.1117/12.715845

KEYWORDS: Error analysis, Signal to noise ratio, Structural health monitoring, Analytical research, Statistical analysis, Damage detection, Feature extraction, Oscillators, Interference (communication), Structural engineering

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Proceedings Article | 11 April 2007 Paper

Tailored deterministic and stochastic excitations for structural health monitoring via evolutionary algorithms

Colin Olson, M. Todd

Proceedings Volume 6532, 653210 (2007) https://doi.org/10.1117/12.715319

KEYWORDS: Damage detection, Stochastic processes, Evolutionary algorithms, Structural health monitoring, Signal to noise ratio, Optimization (mathematics), Fourier transforms, Ordinary differential equations, Mathematical modeling, Signal processing

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Proceedings Article | 1 November 2006 Paper

Modeling and measurement of accuracy/distortion in an operationally passive FBG demodulation technique

M. Todd, M. Seaver, F. Bucholtz, J. Nichols, S. Trickey

Proceedings Volume 6371, 63710G (2006) https://doi.org/10.1117/12.684786

KEYWORDS: Demodulation, Distortion, Fiber Bragg gratings, Error analysis, Signal to noise ratio, Photodetectors, Interferometers, Optical filters, Fiber optics sensors, Interference (communication)

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Proceedings Article | 11 April 2006 Paper

Active chaotic excitation for bolted joint monitoring

Timothy Fasel, Michael Todd, Gyuhae Park

Proceedings Volume 6174, 61741S (2006) https://doi.org/10.1117/12.658819

KEYWORDS: Autoregressive models, Error analysis, Microsoft Foundation Class Library, Waveguides, Structural health monitoring, Pattern recognition, Data modeling, Actuators, Signal attenuation, Performance modeling

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Proceedings Article | 30 March 2006 Paper

Analysis of accuracy error and distortion in an operationally passive interferometric demodulation technique

M. Todd, Mark Seaver, Jonathan Nichols, Stephen Trickey

Proceedings Volume 6167, 61671E (2006) https://doi.org/10.1117/12.657146

KEYWORDS: Error analysis, Distortion, Demodulation, Fiber Bragg gratings, Signal to noise ratio, Interferometry, Photodetectors, Optical filters, Fiber optics sensors, Tunable filters

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Proceedings Article | 28 March 2006 Paper

A miniaturized electromechanical impedance-based node for the wireless interrogation of structural health

David Mascarenas, Michael Todd, Gyuhae Park, Charles Farrar

Proceedings Volume 6177, 61770T (2006) https://doi.org/10.1117/12.658753

KEYWORDS: Sensors, Microcontrollers, Ferroelectric materials, Structural health monitoring, Composites, Aluminum, Transducers, Analog electronics, Measurement devices, Data acquisition

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Proceedings Article | 15 March 2006 Paper

Using attractor localization to improve nonlinear prediction error for structural health monitoring

L. Overbey, M. Todd

Proceedings Volume 6177, 61770V (2006) https://doi.org/10.1117/12.658537

KEYWORDS: Structural health monitoring, Damage detection, Error analysis, Dynamical systems, Complex systems, Visualization, Feature extraction, Oscillators, Computer simulations, Structural engineering

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Proceedings Article | 15 March 2006 Paper

Plate damage identification using up-converted chaotic excitations

Timothy Fasel, Michael Todd, Gyuhae Park

Proceedings Volume 6177, 617707 (2006) https://doi.org/10.1117/12.658808

KEYWORDS: Corrosion, Ferroelectric materials, Error analysis, Signal attenuation, Waveguides, Pattern recognition, Aluminum, Reconstruction algorithms, Damage detection, Multiplexers

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Proceedings Article | 15 March 2006 Paper

Tailored excitations for structural health monitoring via evolutionary programming

Colin Olson, M. Todd

Proceedings Volume 6177, 61770R (2006) https://doi.org/10.1117/12.658568

KEYWORDS: Structural health monitoring, Computer programming, Damage detection, Oscillators, Chaos, Computing systems, Analytical research, Fractal analysis, System integration, Error analysis

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Proceedings Article | 9 May 2005 Paper

Piezoelectric active sensing using chaotic excitations and state space reconstruction

Timothy Fasel, Michael Todd, Gyuhae Park

Proceedings Volume 5768, (2005) https://doi.org/10.1117/12.598924

KEYWORDS: Error analysis, Ferroelectric materials, Structural health monitoring, Amplifiers, Active remote sensing, Data acquisition, Waveguides, Signal to noise ratio, Reconstruction algorithms, Pattern recognition

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Proceedings Article | 9 May 2005 Paper

Detecting generalized dynamic inter-relationship in a frame experiment with measures of information flow and interdependence

M. Todd, J. Nichols, C. Olson, L. Overbey

Proceedings Volume 5768, (2005) https://doi.org/10.1117/12.599110

KEYWORDS: Structural health monitoring, Data modeling, Feature extraction, System identification, Modal analysis, Data processing, Nondestructive evaluation, Analytical research, Statistical analysis, Stochastic processes

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Proceedings Article | 9 May 2005 Paper

Exploring damage sensitivity of state-space based prediction error methods for structural health monitoring

Lucas Overbey, Colin Olson, M. Todd

Proceedings Volume 5768, (2005) https://doi.org/10.1117/12.598893

KEYWORDS: Structural health monitoring, Error analysis, Damage detection, Stochastic processes, Complex systems, Time metrology, Structural engineering, Data modeling, Lanthanum, Safety

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Proceedings Article | 9 May 2005 Paper

Sensitivity and computational comparison of state-space methods for structural health monitoring

Colin Olson, Lucas Overbey, M. Todd

Proceedings Volume 5768, (2005) https://doi.org/10.1117/12.598894

KEYWORDS: Structural health monitoring, Stochastic processes, Damage detection, Oscillators, LabVIEW, Error analysis, Data processing, Network architectures, Statistical analysis, Environmental sensing

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Proceedings Article | 8 December 2004 Paper

High-performance fiber optic systems for damage detection and structural health monitoring

Mark Seaver, Stephen Trickey, Jonathan Nichols, Linda Moniz, Lou Pecora, Michael Todd

Proceedings Volume 5590, (2004) https://doi.org/10.1117/12.580335

KEYWORDS: Sensors, Fiber Bragg gratings, Structural health monitoring, Damage detection, Bridges, Demodulation, Composites, Fiber optics sensors, Oscillators, Fiber optics

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Proceedings Article | 21 July 2004 Paper

Nonlinear excitation and attractor mapping for detecting bolt preload loss in an aluminum frame

Michael Todd, L. Chang, K. Erickson, K. Lee, Jonathan Nichols

Proceedings Volume 5394, (2004) https://doi.org/10.1117/12.538715

KEYWORDS: Aluminum, Structural health monitoring, Sensors, Feature extraction, Control systems, Data modeling, Linear filtering, Data acquisition, Nondestructive evaluation, Stochastic processes

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Proceedings Article | 1 August 2003 Paper

Joint degradation assessment in an extended structure using chaotic attractor property analysis

Michael Todd, Jeannette Wait, Jonathan Nichols, Stephen Trickey

Proceedings Volume 5047, (2003) https://doi.org/10.1117/12.483978

KEYWORDS: Sensors, Data modeling, Aluminum, Transducers, Structural health monitoring, Feature extraction, Analytical research, Data acquisition, Machine learning, Reconstruction algorithms

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Proceedings Article | 1 August 2003 Paper

Signal processing and damage detection in a frame structure excited by chaotic input force

Liming Salvino, Darryll Pines, Michael Todd, Jonathan Nichols

Proceedings Volume 5049, (2003) https://doi.org/10.1117/12.484012

KEYWORDS: Damage detection, Time-frequency analysis, Time metrology, Phase measurement, Algorithm development, Signal processing, Feature extraction, Structural health monitoring, Detection and tracking algorithms, Data modeling

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Proceedings Article | 1 August 2003 Paper

Excitation considerations for attractor property analysis in vibration-based damage detection

Stephen Trickey, Michael Todd, Mark Seaver, Jonathan Nichols

Proceedings Volume 5047, (2003) https://doi.org/10.1117/12.483988

KEYWORDS: Damage detection, Linear filtering, Interference (communication), Principal component analysis, System identification, Complex systems, Electronic filtering, Error analysis, Fiber optics, Systems modeling

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Proceedings Article | 1 August 2003 Paper

Weld line degradation assessment using chaotic attractor property analysis

Mark Seaver, Jonathan Nichols, Stephen Trickey, Michael Todd

Proceedings Volume 5047, (2003) https://doi.org/10.1117/12.483982

KEYWORDS: Sensors, Fiber Bragg gratings, Oscillators, Control systems, Error analysis, Statistical analysis, Data acquisition, Structural health monitoring, Photography, Data modeling

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Proceedings Article | 27 June 2002 Paper

Structural monitoring using a novel high-performance fiber optic measurement system

Michael Todd, Mark Seaver, Tim Wiener, Stephen Trickey

Proceedings Volume 4694, (2002) https://doi.org/10.1117/12.472612

KEYWORDS: Fiber Bragg gratings, Optical filters, Sensors, Interferometers, Tunable filters, Aluminum, Fabry–Perot interferometers, Demodulation, Modulation, Wavelength division multiplexing

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Proceedings Article | 11 June 2002 Paper

Geometric time-domain methods of vibration-based damage detection

Stephen Trickey, Michael Todd, Mark Seaver, Jonathan Nichols

Proceedings Volume 4702, (2002) https://doi.org/10.1117/12.469870

KEYWORDS: Sensors, Damage detection, Finite element methods, Systems modeling, Oscillators, System identification, Data modeling, Matrices, Linear filtering, Complex systems

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Proceedings Article | 30 July 2001 Paper

Vibration-based damage assessment using local attractor variance

Jonathan Nichols, Michael Todd, Lawrence Virgin, Louis Pecora

Proceedings Volume 4330, (2001) https://doi.org/10.1117/12.434112

KEYWORDS: Electronic filtering, Statistical analysis, Signal processing, Fractal analysis, Linear filtering, Oscillators, Structural health monitoring, Chaos, Complex systems, Feature extraction

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Proceedings Article | 1 September 1999 Paper

Performance of elastic beam fiber Bragg grating accelerometers

M. Todd

Proceedings Volume 3746, 37462P (1999) https://doi.org/10.1117/12.2302087

KEYWORDS: Sensors, Fiber Bragg gratings, Structural monitoring, Transducers, Prototyping, Chemical elements, Signal attenuation, Distortion, Interferometry, Analytical research

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Showing 5 of 71 publications

Conference Committee Involvement (25)

Health Monitoring of Structural and Biological Systems XII

5 March 2018 | Denver, Colorado, United States

Sensors and Smart Structures Technologies for Civil, Mechanical, and Aerospace Systems

26 March 2017 | Portland, Oregon, United States

Health Monitoring of Structural and Biological Systems XI

26 March 2017 | Portland, Oregon, United States

Sensors and Smart Structures Technologies for Civil, Mechanical, and Aerospace Systems

21 March 2016 | Las Vegas, Nevada, United States

Health Monitoring of Structural and Biological Systems X

21 March 2016 | Las Vegas, Nevada, United States

Health Monitoring of Structural and Biological Systems IX

9 March 2015 | San Diego, California, United States

Smart Sensor Phenomena, Technology, Networks, and Systems Integration VIII

9 March 2015 | San Diego, California, United States

Health Monitoring of Structural and Biological Systems VIII

10 March 2014 | San Diego, California, United States

Smart Sensor Phenomena, Technology, Networks, and Systems Integration VII

10 March 2014 | San Diego, California, United States

Health Monitoring of Structural and Biological Systems VII

11 March 2013 | San Diego, California, United States

Smart Sensor Phenomena, Technology, Networks, and Systems Integration VI

10 March 2013 | San Diego, California, United States

Health Monitoring of Structural and Biological Systems VI

12 March 2012 | San Diego, California, United States

Smart Sensor Phenomena, Technology, Networks, and Systems Integration V

12 March 2012 | San Diego, California, United States

Health Monitoring of Structural and Biological Systems V

7 March 2011 | San Diego, California, United States

Smart Sensor Phenomena, Technology, Networks, and Systems IV

7 March 2011 | San Diego, California, United States

Health Monitoring of Structural and Biological Systems IV

8 March 2010 | San Diego, California, United States

Smart Sensor Phenomena, Technology, Networks, and Systems III

8 March 2010 | San Diego, California, United States

Health Monitoring of Structural and Biological Systems III

9 March 2009 | San Diego, California, United States

Smart Sensor Phenomena, Technology, Networks, and Systems II

9 March 2009 | San Diego, California, United States

Health Monitoring of Structural and Biological Systems II

10 March 2008 | San Diego, California, United States

Smart Sensor Phenomena, Technology, Networks, and Systems

10 March 2008 | San Diego, California, United States

Health Monitoring of Structural and Biological Systems

19 March 2007 | San Diego, California, United States

Sensor Systems and Networks: Phenomena, Technology and Applications for NDE and Health Monitoring

19 March 2007 | San Diego, California, United States

Smart Sensor Monitoring Systems and Applications

27 February 2006 | San Diego, California, United States

Health Monitoring and Smart NDE of Structural and Biological Systems V

27 February 2006 | San Diego, CA, United States

Showing 5 of 25 Conference Committees

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