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    Generalization Capability of Neural Network Models for Temperature-Frequency Correlation Using Monitoring Data 

    Source: Journal of Structural Engineering:;2009:;Volume ( 135 ):;issue: 010
    Author(s): Y. Q. Ni; H. F. Zhou; J. M. Ko
    Publisher: American Society of Civil Engineers
    Abstract: The parametric approach to eliminating the temperature-caused modal variability in vibration-based structural damage detection requires a correlation model between the modal properties and environmental temperatures. This ...
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    Eliminating Temperature Effect in Vibration-Based Structural Damage Detection 

    Source: Journal of Engineering Mechanics:;2011:;Volume ( 137 ):;issue: 012
    Author(s): H. F. Zhou; Y. Q. Ni; J. M. Ko
    Publisher: American Society of Civil Engineers
    Abstract: False-positive or false-negative damage may be signaled by vibration-based structural damage detection methods when the environmental effects on the changes of dynamic characteristics of a structure are not accounted for ...
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