Optimization technique for transmissive THz-TDS detection in non-destructive testing conventional environments based...

Area of Science:

• Spectroscopy
• Non-destructive testing
• Signal processing

Background:

• Terahertz time-domain spectroscopy (THz-TDS) is a key non-destructive testing method for non-polar and non-metallic materials.
• Conventional THz-TDS is limited by environmental factors like water vapor and system noise, affecting data quality.
• Existing methods struggle to achieve high signal-to-noise ratios in practical non-destructive testing scenarios.

Purpose of the Study:

• To develop an optimized THz-TDS detection technique for enhanced non-destructive testing.
• To address limitations of water vapor interference and system noise in THz-TDS measurements.
• To improve the signal-to-noise ratio and detection speed in quality inspection applications.

Main Methods:

• Development of a filter peak attention network (FPAN) for THz-TDS data processing.
• Integration of filtering, pooling, and peak attention mechanisms within the FPAN.
• Application of the FPAN technique in conventional non-destructive testing environments.

Main Results:

• The proposed FPAN significantly improves signal-to-noise ratio in THz-TDS measurements.
• FPAN effectively removes water vapor interference and suppresses system noise.
• The technique demonstrates superior performance compared to existing methods across all evaluated indicators.
• Detection speed is notably enhanced using the FPAN approach.

Conclusions:

• The filter peak attention network (FPAN) offers a robust solution for optimizing THz-TDS detection.
• FPAN enhances the reliability and efficiency of non-destructive quality inspection for various materials.
• This technique represents a significant advancement in overcoming environmental challenges in THz-TDS applications.