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Related Concept Videos

Distance Corrections01:15

Distance Corrections

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To achieve precise distance measurements, especially in surveying and construction, certain corrections must be applied to account for potential sources of error like the standardization errors, temperature variations, and slope adjustments.Standardization error emerges when measurement equipment undergoes changes, such as wear, repairs, or weather impacts. To address this, surveyors compare the equipment’s readings to a standard. This process identifies any deviation that might lead to...
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Temperature Dependent Deformation01:12

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In a nonhomogeneous rod made up of steel and brass, restrained at both ends and subjected to a temperature change, several steps are involved in calculating the stress and compressive load. Due to the problem's static indeterminacy, one end support is disconnected, allowing the rod to experience the temperature change freely. Next, an unknown force is applied at the free end, triggering deformations in the rod's steel and brass portions. These deformations are then calculated and added...
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Updated: Sep 2, 2025

Subsurface Defect Localization by Structured Heating Using Laser Projected Photothermal Thermography
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Sliding Window Dynamic Time-Series Warping-Based Ultrasonic Guided Wave Temperature Compensation and Defect

Zhifeng Tang, Junwang Ma, Weixu Liu

    IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control
    |August 1, 2022
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    Summary
    This summary is machine-generated.

    A new method called sliding window dynamic time-series warping (SWDTW) effectively compensates for temperature effects in rail structural health monitoring. This approach improves defect detection accuracy in outdoor guided wave monitoring systems.

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    Area of Science:

    • Structural Health Monitoring
    • Materials Science
    • Signal Processing

    Background:

    • Temperature variations significantly challenge guided wave structural health monitoring (SHM) of rails.
    • Temperature fluctuations distort guided wave signals, complicating defect diagnosis and characterization.
    • Existing temperature compensation methods are limited to simple structures like plates and pipes.

    Purpose of the Study:

    • To develop a robust temperature compensation and defect monitoring method for long rails.
    • To address limitations of traditional methods in complex rail structures with mode conversion and echoes.
    • To overcome computational challenges and overcompensation issues associated with dynamic time-series warping (DTW).

    Main Methods:

    • Proposed a novel sliding window dynamic time-series warping (SWDTW) method.
    • Utilized sliding windows for accelerated computation and defect identification across subsequence scales.
    • Introduced window subsequence Teager energy (WSTE) for local abnormality indication.
    • Developed a sliding window net (SWnet) for automated defect monitoring.

    Main Results:

    • SWDTW effectively reduced temperature-induced noise in outdoor rail monitoring.
    • The method successfully recognized artificial defects with low cross-sectional change rates (1.16% and 0.36%) on switch and stock rails.
    • SWDTW demonstrated superior defect identification performance compared to scale transform and standard DTW.

    Conclusions:

    • SWDTW offers an effective solution for temperature compensation in guided wave SHM of rails.
    • The proposed method enhances defect detection accuracy and reliability in complex rail environments.
    • SWDTW provides a promising approach for automated and accurate structural health monitoring of railway infrastructure.