Publications by authors named "Junwang Ma"
Sliding Window Dynamic Time-Series Warping-Based Ultrasonic Guided Wave Temperature Compensation and Defect Monitoring Method for Turnout Rail Foot.
IEEE Trans Ultrason Ferroelectr Freq Control
September 2022
Temperature changes are a major challenge in outdoor guided wave structural health monitoring of rails. Temperature variations greatly impact the waveform of guided wave signals, making it challenging to diagnose and characterize defects. Traditional temperature compensation methods, such as signal stretch and scale transform, are restricted to use in regular structures, such as plates and pipes.
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- Ultrasonic guided wave monitoring is essential for checking the health of industrial pipes, but small defects can be hard to detect due to environmental interference and pipe structure affecting the signal.
- A new high-sensitivity algorithm called adaptive principal component analysis (APCA) is proposed to improve defect detection by optimizing the selection of key signal features and calculating a sensitivity index.
- Tests on various pipe types showed that APCA can identify very small defects (as low as 0.075% cross section loss), outperforming traditional methods and providing a clearer representation of defect trends through a comprehensive damage index.