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Related Experiment Video

Updated: Jan 15, 2026

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Iterative coherence factor (iCF) beamforming method for ultrasound-based nondestructive testing.

Lin Tong1, Kunlin Wang1, Peng Wang1

  • 1State Key Laboratory of Power Transmission Equipment Technology, School of Electrical Engineering, Chongqing University, Chongqing, 400044, China.

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|October 16, 2025
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Summary
This summary is machine-generated.

This study introduces an iterative coherence factor (iCF) beamforming method for nondestructive testing (NDT) and structural health monitoring (SHM). The iCF method significantly enhances image contrast and signal-to-noise ratio (SNR) compared to traditional techniques.

Keywords:
Coherence factorDamage imagingLamb waveMaximum a posterioriNDT

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Area of Science:

  • Materials Science
  • Signal Processing
  • Non-Destructive Testing (NDT)

Background:

  • Ultrasound beamforming is crucial for NDT and SHM.
  • Traditional methods like Delay-and-Sum (DAS) have limitations in image contrast and SNR.
  • Need for cost-effective and robust beamforming techniques.

Purpose of the Study:

  • To propose a novel statistical ultrasound beamforming method using an iterative coherence factor (iCF).
  • To enhance image contrast and signal-to-noise ratio (SNR) in NDT and SHM applications.
  • To offer a low-cost, high-performance alternative to existing methods.

Main Methods:

  • Developed an iterative coherence factor (iCF) beamforming algorithm.
  • Utilized maximum likelihood and enhanced maximum a posteriori (MAP) estimations.
  • Leveraged signal distribution characteristics for iterative parameter optimization.

Main Results:

  • Achieved over double the imaging contrast compared to DAS.
  • Improved SNR by more than 20 dB.
  • Demonstrated effectiveness in inspecting steel structures, welds, rails, and CFRP defects.

Conclusions:

  • The proposed iCF method offers superior performance and robustness for NDT and SHM.
  • The method has a low computational burden and is easily implementable.
  • The iCF framework presents a new technical direction for signal modeling and parameter estimation in NDT/SHM.