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    Structural Health Monitoring With Autoregressive Support Vector Machines 

    Source: Journal of Vibration and Acoustics:;2009:;volume( 131 ):;issue: 002:;page 21004
    Author(s): Luke Bornn; Charles R. Farrar; Gyuhae Park; Kevin Farinholt
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: The use of statistical methods for anomaly detection has become of interest to researchers in many subject areas. Structural health monitoring in particular has benefited from the versatility ...
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    Impedance-Based Health Monitoring of Civil Structural Components 

    Source: Journal of Infrastructure Systems:;2000:;Volume ( 006 ):;issue: 004
    Author(s): Gyuhae Park; Harley H. Cudney; Daniel J. Inman
    Publisher: American Society of Civil Engineers
    Abstract: This paper presents experimental evidence on the use of the impedance-based health-monitoring technique on components typical of civil structures. The basic principle behind this technique is to utilize high-frequency ...
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    Piezoelectric Active Sensor Self-Diagnostics Using Electrical Admittance Measurements 

    Source: Journal of Vibration and Acoustics:;2006:;volume( 128 ):;issue: 004:;page 469
    Author(s): Gyuhae Park; Charles R. Farrar; Amanda C. Rutherford; Amy N. Robertson
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: This paper presents a piezoelectric sensor self-diagnostic procedure that performs in situ monitoring of the operational status of piezoelectric materials used for sensors and actuators in structural ...
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    Vibration Suppression in Cutting Tools Using a Collocated Piezoelectric Sensor/Actuator With an Adaptive Control Algorithm 

    Source: Journal of Vibration and Acoustics:;2010:;volume( 132 ):;issue: 005:;page 51002
    Author(s): Peter P. Radecki; Kevin M. Farinholt; Gyuhae Park; Matthew T. Bement
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: The machining process is very important in many engineering applications. In high precision machining, surface finish is strongly correlated with vibrations and the dynamic interactions between ...
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    Use of Time-Series Predictive Models for Piezoelectric Active-Sensing in Structural Health Monitoring Applications 

    Source: Journal of Vibration and Acoustics:;2012:;volume( 134 ):;issue: 004:;page 41014
    Author(s): Eloi Figueiredo; Kevin M. Farinholt; Jung-Ryul Lee; Charles R. Farrar; Gyuhae Park
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: In this paper, time domain data from piezoelectric active-sensing techniques is utilized for structural health monitoring (SHM) applications. Piezoelectric transducers have been increasingly used ...
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    Energy Harvesting for Structural Health Monitoring Sensor Networks 

    Source: Journal of Infrastructure Systems:;2008:;Volume ( 014 ):;issue: 001
    Author(s): Gyuhae Park; Tajana Rosing; Michael D. Todd; Charles R. Farrar; William Hodgkiss
    Publisher: American Society of Civil Engineers
    Abstract: This paper reviews the development of energy harvesting for low-power embedded structural health monitoring (SHM) sensing systems. A statistical pattern recognition paradigm for SHM is first presented and the concept of ...
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