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Related Concept Videos

Plotting and Calibrating the Root Locus01:19

Plotting and Calibrating the Root Locus

Root loci often diverge as system poles shift from the real axis to the complex plane. Key points in this transition are the breakaway and break-in points, indicating where the root locus leaves and reenters the real axis. The branches of the root locus form an angle of 180/n degrees with the real axis, where n is the number of branches at a breakaway or break-in point.
The maximum gain occurs at the breakaway points between open-loop poles on the real axis, while the minimum gain is observed...

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Updated: May 15, 2026

Microfluidic Platform with Multiplexed Electronic Detection for Spatial Tracking of Particles
11:54

Microfluidic Platform with Multiplexed Electronic Detection for Spatial Tracking of Particles

Published on: March 13, 2017

Design of sensor cluster configurations and impact localization in composite plates using deterministic maximum

Xu Zeng1, Deshuang Deng2, Shuyi Ma3

  • 1School of Materials Science and Engineering, Dalian University of Technology, Dalian 116024, China.

Ultrasonics
|May 13, 2026
PubMed
Summary

This study introduces an optimal sensor cluster design framework and a deterministic maximum likelihood (DML) method for precise impact localization in composite structures, improving accuracy and robustness against noise.

Keywords:
Compact arrayComposite structuresConfiguration designDeterministic maximum likelihoodImpact localization

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Data Acquisition Protocol for Determining Embedded Sensitivity Functions
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Last Updated: May 15, 2026

Microfluidic Platform with Multiplexed Electronic Detection for Spatial Tracking of Particles
11:54

Microfluidic Platform with Multiplexed Electronic Detection for Spatial Tracking of Particles

Published on: March 13, 2017

Data Acquisition Protocol for Determining Embedded Sensitivity Functions
07:46

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Published on: April 20, 2016

Area of Science:

  • Structural Health Monitoring
  • Composite Materials Science
  • Acoustic Signal Processing

Background:

  • Sensor cluster methods offer high spatial resolution for impact localization in composite structures.
  • Optimal sensor array configuration selection and nonuniform noise pose challenges to conventional methods.
  • Existing techniques struggle with achieving high-precision and robust impact localization.

Purpose of the Study:

  • To develop a systematic framework for optimal sensor cluster configuration design.
  • To integrate a deterministic maximum likelihood (DML) method for accurate impact localization.
  • To enhance the robustness and efficiency of impact localization under real-world conditions.

Main Methods:

  • A sensor cluster design framework evaluates configurations based on beamwidth, sidelobe level, and spatial compactness.
  • A deterministic maximum likelihood (DML) approach estimates impact direction by maximizing a likelihood function.
  • Image fusion is utilized for precise impact location determination.

Main Results:

  • Numerical simulations confirm the superior directivity of the designed sensor clusters.
  • The DML-based method demonstrates effectiveness in impact localization.
  • The integrated approach shows robustness and efficiency on composite panels and stiffened plates.

Conclusions:

  • The proposed framework successfully identifies optimal sensor configurations for impact localization.
  • The DML-based method provides accurate and robust impact localization in composite structures.
  • This integrated approach advances structural health monitoring capabilities for composite materials.