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Location Specific Temperature Compensation of Guided Wave Signals in Structural Health Monitoring.

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    IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control
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    Summary

    Environmental changes can mask structural defects in guided wave monitoring. This study introduces a new temperature compensation method that significantly reduces false signals, improving defect detection by over 50%.

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    Area of Science:

    • Structural Health Monitoring
    • Non-Destructive Testing
    • Materials Science

    Background:

    • Guided wave structural health monitoring relies on baseline subtraction, which is sensitive to environmental and operational conditions (EOCs).
    • Temperature variations cause signal changes (e.g., wave speed, attenuation, mode amplitudes, transducer response), leading to false positives in defect detection.
    • Existing temperature compensation methods often fail to address all temperature-induced signal variations.

    Purpose of the Study:

    • To develop a novel temperature compensation procedure for guided wave structural health monitoring.
    • To correct spatially dependent signal changes that are systematic functions of temperature.
    • To improve the accuracy and reliability of defect detection by minimizing temperature-induced residuals.

    Main Methods:

    • A temperature compensation procedure was developed to model and correct signal variations with temperature at each structural position.
    • Calibration functions were computed to represent temperature-dependent signal changes.
    • The method was applied to guided wave signals from a pipe monitoring system using the T(0, 1) mode.

    Main Results:

    • The developed method effectively decoupled residuals from temperature variations.
    • Residuals were reduced by at least 50% compared to the standard approach at positions away from structural features.
    • Residuals were reduced by over 90% at structural features like pipe ends.

    Conclusions:

    • The proposed temperature compensation method offers a substantial improvement in guided wave structural health monitoring.
    • It significantly enhances the detectability of small defects, especially near existing structural features.
    • This approach promises more reliable structural integrity assessments in the presence of varying environmental conditions.