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基于Harris-SUSAN算法的發(fā)動(dòng)機葉片裂紋檢測系統設計
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商丘工學(xué)院

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Design of Engine Blade Crack Detection System Based on Harris-SUSAN Algorithm
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    摘要:

    目前設計的發(fā)動(dòng)機葉片裂紋檢測系統存在裂紋感應電壓能力差的問(wèn)題,導致缺陷信號峰值檢測結果誤差較大,為此提出基于Harris-SUSAN算法設計一種新的發(fā)動(dòng)機葉片裂紋檢測系統。利用傳感器中高靈敏度的二軸霍尼韋爾各向異性磁阻(AMR)元件,分析水平與垂直方向范圍內的磁場(chǎng)分布與變化情況,設計傳感器,選擇旋轉電磁激勵臺實(shí)現激勵臺的旋轉磁化。引用Harris-SUSAN算法設定檢測程序,計算興趣值確定最優(yōu)點(diǎn),比較磁場(chǎng)強度,檢測發(fā)動(dòng)機葉片裂紋。實(shí)驗結果表明,基于Harris-SUSAN算法的發(fā)動(dòng)機葉片裂紋檢測系統能夠有效提高裂紋感應電壓能力,增強缺陷信號峰值檢測結果檢測準確率。

    Abstract:

    At present, there is a problem that the ability of crack induced voltage is poor in the design of engine blade crack detection system, which leads to large error of defect signal peak detection results. Therefore, a new engine blade crack detection system based on Harris SUSAN algorithm is proposed. In this paper, the high sensitive two-axis Honeywell anisotropic magnetoresistance (AMR) element is used to analyze the distribution and variation of magnetic field in the horizontal and vertical directions. The sensor is designed and the rotating electromagnetic excitation platform is selected to realize the rotating magnetization of the excitation platform. The Harris SUSAN algorithm is used to set up the detection program, calculate the value of interest to determine the best advantage, and compare the magnetic field strength to detect the engine blade crack. The experimental results show that the crack detection system based on Harris SUSAN algorithm can effectively improve the ability of crack induced voltage and enhance the detection accuracy of defect signal peak detection results.

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王曉惠,馮彩英,徐忠根.基于Harris-SUSAN算法的發(fā)動(dòng)機葉片裂紋檢測系統設計計算機測量與控制[J].,2020,28(12):57-61.

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歷史
  • 收稿日期:2020-10-23
  • 最后修改日期:2020-11-02
  • 錄用日期:2020-11-02
  • 在線(xiàn)發(fā)布日期: 2020-12-15
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