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基于VMD的相控陣超聲信號降噪方法研究
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1.南京航空航天大學(xué) 自動(dòng)化學(xué)院;2.南京航空航天大學(xué)

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TG115.28

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Research on Noise Reduction Method of Phased Array Ultrasonic Signal Based on VMD
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    摘要:

    針對超聲檢測在鋼板板邊和輪對可能存在漏檢的問(wèn)題,采用相控陣超聲檢測技術(shù)對鋼板板邊裂紋缺陷和輪對孔缺陷進(jìn)行成像檢測;針對鋼板和輪對缺陷散射信號信噪比低的問(wèn)題,提出了一種參數優(yōu)化的變分模態(tài)分解(VMD)算法,避免了人為主觀(guān)影響,通過(guò)選擇對應頻帶的本征模態(tài)函數(IMF)分量表征原始信號特征,并通過(guò)比較VMD分解后各本征模態(tài)函數(IMF)分量與原始信號的信噪比與均方根誤差來(lái)評價(jià)(VMD)算法的效果,最終實(shí)現缺陷成像檢測。實(shí)驗結果表明:與原始信號相比,該方法處理后的缺陷信號具有較好的保真度,信噪比與平滑度,均方根誤差降低,不易出現模態(tài)混疊現象,有良好的分解效果。處理后成像結果更為清晰,缺陷的大小、位置及形狀都能夠完整展示出來(lái),可以實(shí)現孔缺陷和裂紋缺陷的定位檢測。

    Abstract:

    Aiming at the problem that ultrasonic detection may be missed on the edges and wheelsets of steel plates, phased array ultrasonic detection technology is used to image and detect crack defects and wheel-to-wheel hole defects of steel plates, and for the problem of low signal-to-noise ratio of steel plate and wheel pair defect scattering signals, a parameter-optimized variational modal decomposition (VMD) algorithm is proposed, which avoids human subjective influence and characterizes the original signal characteristics by selecting the eigenmodal function (IMF) component of the corresponding frequency band. The effect of the (VMD) algorithm is evaluated by comparing the signal-to-noise ratio and root mean square error of each eigenmodal function (IMF) component of the VMD decomposition with the signal-to-noise ratio of the original signal, and finally the defect imaging detection is realized. The experimental results show that compared with the original signal, the defective signal processed by the method has good fidelity, signal-to-noise ratio and smoothness, the rms error is reduced, and the modal aliasing phenomenon is not easy to occur, and there is a good decomposition effect. After processing, the imaging results are clearer, and the size, position and shape of the defects can be fully displayed, which can realize the positioning and detection of hole defects and crack defects.

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俞燕萍,羅鵬斌,楊先明,鄭凱,胡斌定,王海濤.基于VMD的相控陣超聲信號降噪方法研究計算機測量與控制[J].,2022,30(7):261-266.

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歷史
  • 收稿日期:2021-11-25
  • 最后修改日期:2022-04-06
  • 錄用日期:2022-04-07
  • 在線(xiàn)發(fā)布日期: 2022-07-19
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