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Proceedings Papers

Novelty Detection Using Auto-Associative Neural Network

Hoon Sohn, Keith Worden, Charles R. Farrar

Proc. ASME. IMECE2001, Dynamic Systems and Control, 573-580, November 11–16, 2001

Publisher: American Society of Mechanical Engineers

Paper No: IMECE2001/DSC-24571

https://doi.org/10.1115/IMECE2001/DSC-24571

View Paper titled, Novelty Detection Using Auto-Associative Neural Network

Topics: Artificial neural networks, Damage, Boundary-value problems, Temperature

Journal Articles

Use of Time-Series Predictive Models for Piezoelectric Active-Sensing in Structural Health Monitoring Applications

Eloi Figueiredo, Gyuhae Park, Kevin M. Farinholt, Charles R. Farrar, Jung-Ryul Lee

Publisher: ASME

J. Vib. Acoust. August 2012, 134(4): 041014.

https://doi.org/10.1115/1.4006410

Published Online: June 1, 2012

View Article titled, Use of Time-Series Predictive Models for Piezoelectric Active-Sensing in Structural Health Monitoring Applications

Topics: Composite materials, Damage, Feature extraction, Sensors, Structural health monitoring, Time series

Proceedings Papers

Recent Advances in Impedance-Based Wireless Sensor Nodes

Kevin M. Farinholt, Stuart G. Taylor, Timothy G. Overly, Gyuhae Park, Charles R. Farrar

Proc. ASME. SMASIS2008, Smart Materials, Adaptive Structures and Intelligent Systems, Volume 2, 57-65, October 28–30, 2008

Publisher: American Society of Mechanical Engineers

Paper No: SMASIS2008-386

https://doi.org/10.1115/SMASIS2008-386

View Paper titled, Recent Advances in Impedance-Based Wireless Sensor Nodes

Topics: Sensors, Structural health monitoring, Piezoelectric transducers, Circuits, Computation, Energy storage, Integrated circuits, Telemetry

Journal Articles

Structural Health Monitoring With Autoregressive Support Vector Machines

Luke Bornn, Charles R. Farrar, Gyuhae Park, Kevin Farinholt

Publisher: ASME

J. Vib. Acoust. April 2009, 131(2): 021004.

https://doi.org/10.1115/1.3025827

Published Online: February 17, 2009

View Article titled, Structural Health Monitoring With Autoregressive Support Vector Machines

Topics: Damage, Sensors, Structural health monitoring, Support vector machines, Time series

Proceedings Papers

Application of Frequency Domain ARX Models and Extreme Value Statistics to Impedance-Based Damage Detection

Timothy R. Fasel, Hoon Sohn, Gyuhae Park, Charles R. Farrar

Proc. ASME. IMECE2003, Aerospace, 289-297, November 15–21, 2003

Publisher: American Society of Mechanical Engineers

Paper No: IMECE2003-43178

https://doi.org/10.1115/IMECE2003-43178

View Paper titled, Application of Frequency Domain ARX Models and Extreme Value Statistics to Impedance-Based Damage Detection

Topics: Damage, Statistics, Structural health monitoring, Actuators, Nonlinear systems, Sensors

Proceedings Papers

Damage Identification Using Impedance Methods Coupled With Statistical Classifiers

Gyuhae Park, Amanda C. Rutherford, Hoon Sohn, Charles R. Farrar

Proc. ASME. IMECE2003, Aerospace, 299-308, November 15–21, 2003

Publisher: American Society of Mechanical Engineers

Paper No: IMECE2003-43179

https://doi.org/10.1115/IMECE2003-43179

View Paper titled, Damage Identification Using Impedance Methods Coupled With Statistical Classifiers

Topics: Damage, Algorithms, Data mining, Degrees of freedom, Engineering systems and industry applications, Excitation, Pattern recognition, Piezoelectric materials, Sensors, Signals

Proceedings Papers

The Use of Frequency Response Functions for Composite Plate Monitoring With Ultrasonic Validations

Gyuhae Park, Amanda C. Rutherford, Jeannette R. Wait, Brett R. Nadler, Charles R. Farrar

Proc. ASME. IMECE2004, Aerospace, 111-116, November 13–19, 2004

Publisher: American Society of Mechanical Engineers

Paper No: IMECE2004-61152

https://doi.org/10.1115/IMECE2004-61152

View Paper titled, The Use of Frequency Response Functions for Composite Plate Monitoring With Ultrasonic Validations

Topics: Composite materials, Frequency response, Damage, Delamination, Fibers, Excitation, Signals

Journal Articles

Piezoelectric Active Sensor Self-Diagnostics Using Electrical Admittance Measurements

Gyuhae Park, Charles R. Farrar, Amanda C. Rutherford, Amy N. Robertson

Publisher: ASME

J. Vib. Acoust. August 2006, 128(4): 469–476.

https://doi.org/10.1115/1.2202157

Published Online: January 24, 2006

View Article titled, Piezoelectric Active Sensor Self-Diagnostics Using Electrical Admittance Measurements

Topics: Admittance (Electricity), Mechanical admittance, Sensors, Bonding

Journal Articles

Structural Damage Classification Using Extreme Value Statistics

Hoon Sohn, David W. Allen, Keith Worden, Charles R. Farrar

Publisher: ASME

J. Dyn. Sys., Meas., Control. March 2005, 127(1): 125–132.

https://doi.org/10.1115/1.1849240

Published Online: May 10, 2005

View Article titled, Structural Damage Classification Using Extreme Value Statistics

Topics: Damage, Statistics, Time series, Parameter estimation, Gaussian distribution, Springs

Journal Articles

Structural Health Monitoring Using Statistical Pattern Recognition Techniques

Hoon Sohn, Charles R. Farrar, Norman F. Hunter, Keith Worden

Publisher: ASME

J. Dyn. Sys., Meas., Control. December 2001, 123(4): 706–711.

https://doi.org/10.1115/1.1410933

Published Online: February 7, 2001

View Article titled, Structural Health Monitoring Using Statistical Pattern Recognition Techniques

Topics: Pattern recognition, Signals, Structural health monitoring, Time series, Patrol boats, Damage, Boats

Journal citation

NARROW

Novelty Detection Using Auto-Associative Neural Network

Use of Time-Series Predictive Models for Piezoelectric Active-Sensing in Structural Health Monitoring Applications

Recent Advances in Impedance-Based Wireless Sensor Nodes

Structural Health Monitoring With Autoregressive Support Vector Machines

Application of Frequency Domain ARX Models and Extreme Value Statistics to Impedance-Based Damage Detection

Damage Identification Using Impedance Methods Coupled With Statistical Classifiers

The Use of Frequency Response Functions for Composite Plate Monitoring With Ultrasonic Validations

Piezoelectric Active Sensor Self-Diagnostics Using Electrical Admittance Measurements

Structural Damage Classification Using Extreme Value Statistics

Structural Health Monitoring Using Statistical Pattern Recognition Techniques

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