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基于漏磁檢測機理的鋼絲繩小缺陷精確化識別系統研究
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江西理工大學(xué)理學(xué)院 江西贛州 341000

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TP274

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國家自然科學(xué)基金項目(面上項目,重點(diǎn)項目,重大項目)


Research on Precise Recognition System of Steel Wire Rope’ Small DefectsBased on Magnetic Flux Leakage Testing Method
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    摘要:

    針對電磁檢測法中鋼絲繩小缺陷產(chǎn)生的漏磁信號比較微弱、往往容易漏檢,采用STM32處理器及AD7606模數轉換等器件設計了鋼絲繩小缺陷精確化識別系統。在硬件上,采用了穩定的雙勵磁回路結構,多通道均勻密布的集成HALL元件拾取漏磁信號,經(jīng)微弱信號放大濾波,小距離等間隔采樣,高精度數據采集等方法提高信噪比;在軟件上,采用了FFT、數字濾波剔除股波干擾。經(jīng)試驗表明,該系統能夠較準確地檢測鋼絲繩上的小缺陷,同時(shí)也能檢測大的缺陷,準判率大于90%,較好地滿(mǎn)足了現場(chǎng)鋼絲繩檢測要求。

    Abstract:

    Aiming at the weak magnetic flux leakage signals generated by small defects of steel wire rope in electromagnetic detection method, which were often easy to be missed, an accurate identification system for small defects of steel wire rope was designed by using STM32 processor, AD7606 analog-to-digital conversion and other devices. In hardware, a stable double excitation circuit structure was adopted, multi-channel uniform and densely distributed integrated HALL elements picked up magnetic leakage signals, and the signal-to-noise ratio was improved by methods such as weak signal amplification and filtering, small-distance equidistant sampling, high-precision data acquisition, etc. In the software, FFT and digital filtering were used to eliminate the interference of the wave. Tests show that the system can accurately detect small defects on steel wire ropes, and can also detect large defects. The accurate judgment rate is more than 90%, which is better satisfied to the requirements of on-site steel wire rope detection.

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鐘小勇,陳科安.基于漏磁檢測機理的鋼絲繩小缺陷精確化識別系統研究計算機測量與控制[J].,2020,28(1):195-199.

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歷史
  • 收稿日期:2019-06-20
  • 最后修改日期:2019-07-14
  • 錄用日期:2019-07-19
  • 在線(xiàn)發(fā)布日期: 2020-02-22
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