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Updated: Sep 5, 2025

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A Terahertz Identification Method for Internal Interface Structures of Polymers Based on the Long Short-Term Memory

Shushan Wang1, Hongwei Mei1, Jianjun Liu2

  • 1Shenzhen International Graduate School, Tsinghua University, Shenzhen 518055, China.

Polymers
|July 9, 2022
PubMed
Summary

This study uses Terahertz (THz) detection and artificial intelligence to identify internal defects in polymer insulation. The method successfully distinguishes between void and impurity interfaces, enhancing power grid safety.

Keywords:
3D imaginginterface structureslong short-term memoryterahertz detection

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Area of Science:

  • Materials Science
  • Electrical Engineering
  • Artificial Intelligence

Background:

  • Polymers are critical insulating materials in power systems, vital for grid security and stability.
  • Insulation defects in polymers can lead to significant power system failures.
  • Terahertz (THz) detection offers a novel, non-destructive testing (NDT) approach for analyzing internal polymer structures.

Purpose of the Study:

  • To investigate the potential of Terahertz (THz) waveforms for identifying different types of internal interfaces within polymers.
  • To develop and apply an artificial intelligence model for classifying these interfaces.
  • To demonstrate the feasibility of using THz detection and machine learning for defect imaging in polymer insulation.

Main Methods:

  • Utilized Terahertz (THz) pulses reflected from internal polymer interfaces.
  • Employed a long short-term memory (LSTM) classification network, a type of artificial intelligence, to analyze the THz waveform data.
  • Correlated THz waveform characteristics with specific interface types (voids and impurities).

Main Results:

  • The LSTM network effectively classified internal interfaces based on reflected THz pulses.
  • The study successfully identified and imaged both void interfaces and impurity interfaces within the polymer.
  • Experimental results confirmed the viability of the proposed THz-based NDT method.

Conclusions:

  • Terahertz (THz) detection combined with LSTM networks provides a powerful tool for non-destructive testing of polymer insulation.
  • This approach enables accurate identification and imaging of internal defects, crucial for preventing insulation failures.
  • The findings contribute to enhancing the reliability and safety of power systems through advanced material inspection techniques.