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<p>In order to accurately and efficiently analyze the tensile stage of the sample using magnetic memory detection technology, various forms of information entropy were introduced to process and analyze the magnetic memory signals. The information entropy of the magnetic signals under different tensile loads was calculated and used as a criterion to assess the state of the tensile sample. An information fusion strategy, combined with the Dempster–Shafer synthesis rule, was proposed to enhance the accuracy and reliability of state identification. Based on the Dempster synthesis rule and Dempster–Shafer evidence theory, a state identification algorithm was developed using MATLAB software, which has facilitated the straightforward determination of deformation states across distinct regions of the sample surface. The experimental results demonstrate that the data analysis method can quickly and accurately identify the state of the sample after it has being subjected to force (load).</p>

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Magnetic Memory Signal Analysis Method Based on Information Fusion Using the Dempster Synthesis Rule

  • 期刊论文

  • 发表日期：

    2026年8月3日

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  • Yufeng Chen,
  • Shibo Ma,
  • Zhenhua Piao,
  • Yuanling Sun,
  • Wei Wang,
  • Zhenkai Mu,
  • Yibo Wang

摘要

In order to accurately and efficiently analyze the tensile stage of the sample using magnetic memory detection technology, various forms of information entropy were introduced to process and analyze the magnetic memory signals. The information entropy of the magnetic signals under different tensile loads was calculated and used as a criterion to assess the state of the tensile sample. An information fusion strategy, combined with the Dempster–Shafer synthesis rule, was proposed to enhance the accuracy and reliability of state identification. Based on the Dempster synthesis rule and Dempster–Shafer evidence theory, a state identification algorithm was developed using MATLAB software, which has facilitated the straightforward determination of deformation states across distinct regions of the sample surface. The experimental results demonstrate that the data analysis method can quickly and accurately identify the state of the sample after it has being subjected to force (load).