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基于小波分析的氣動(dòng)調節閥反饋桿松動(dòng)故障在線(xiàn)診斷研究
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浙江工業(yè)大學(xué) 信息工程學(xué)院

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TP273

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國家科技重大專(zhuān)項項目(2018ZX06005002)


Research on On-line Diagnosis of Pneumatic Control Valve Feedback Rod Loosening Fault Based on Wavelet Analysis
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    摘要:

    針對氣動(dòng)調節閥定位器反饋桿松動(dòng)導致閥位無(wú)法按照設定信號運動(dòng),影響工業(yè)生產(chǎn)的問(wèn)題,提出了一種基于小波分析的在線(xiàn)故障診斷方法。選取工業(yè)閉環(huán)控制回路中調節閥閥位響應信號作為目標信號,采用 Db3小波基對目標信號進(jìn)行6層分解,得到d6特征細節參數,可以實(shí)現對故障發(fā)生時(shí)間點(diǎn)的準確檢測;之后分段計算其平均值AV、方差VAR、均方根值RMS,通過(guò)對其平均值AV、方差VAR、均方根值RMS進(jìn)行曲線(xiàn)擬合劃分正常狀態(tài)運行區與故障狀態(tài)運行區,實(shí)現氣動(dòng)調節閥定位器反饋桿松動(dòng)故障的在線(xiàn)診斷。通過(guò)仿真和在線(xiàn)閉環(huán)系統測試驗證了文章中診斷方法的有效性和實(shí)用性。

    Abstract:

    Aiming at the problem that the valve position cannot move according to the set signal due to the loose feedback rod of the pneumatic control valve positioner, which affects industrial production, an online fault diagnosis method based on wavelet analysis is proposed. The valve position response signal of the regulating valve in the industrial closed-loop control loop is selected as the target signal, and the DB3 wavelet base is used to decompose the target signal by 6 layers, and the detailed parameters of D6 characteristics are obtained, which can accurately detect the fault occurrence time. After that, the average value AV, variance VAR and rms are calculated in segments, and the normal state operation area and fault state operation area are divided by curve fitting of the mean value AV, variance VAR and rms to realize the online diagnosis of the loose fault of the feedback rod of the pneumatic control valve positioner. The effectiveness and practicability of the diagnostic method in this paper are verified by simulation and online closed-loop system testing.

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李世偉,高征,尚群立.基于小波分析的氣動(dòng)調節閥反饋桿松動(dòng)故障在線(xiàn)診斷研究計算機測量與控制[J].,2023,31(8):44-50.

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歷史
  • 收稿日期:2022-10-31
  • 最后修改日期:2022-12-06
  • 錄用日期:2022-12-07
  • 在線(xiàn)發(fā)布日期: 2023-08-22
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