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基于自適應多尺度時(shí)頻熵的遙測振動(dòng)信號異常檢測方法
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(中國人民解放軍91550部隊94分隊,遼寧 大連 116023)

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劉 學(xué)(1983-),男,黑龍江大慶市人,博士,主要從事精確制導與跟蹤和遙測信號處理方向的研究。

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Telemetry Vibration Signal Abnormality Detection Method Based on Adaptive Multi-scale Time-frequency Entropy
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(94. Units, No.91550 Army, Dalian 116023, China)

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    摘要:

    針對遙測振動(dòng)信號頻域成份復雜、非平穩非線(xiàn)性和強噪聲特性,提出一種基于自適應多尺度時(shí)頻熵的遙測振動(dòng)信號異常檢測方法;首先對采集到的遙測振動(dòng)信號進(jìn)行零漂修正和趨勢項消除,然后采用自適應分解方法對信號進(jìn)行多尺度分解,得到若干分量,利用相關(guān)系數剔除虛假分量;接下來(lái)用篩選出的分量作時(shí)頻分布,對時(shí)頻分布進(jìn)行多層多尺度劃分,計算相應尺度頻段內信號的分形維數,依據分形維數的大小自適應地確定各頻段的時(shí)頻劃分尺度;最后計算時(shí)頻平面的自適應多尺度時(shí)頻熵,通過(guò)時(shí)頻熵的變化情況對遙測振動(dòng)信號進(jìn)行異常檢測;實(shí)測數據驗證了該方法的有效性。

    Abstract:

    For telemetry vibration signal in the frequency domain has characteristics of complex composition, nonlinear and non-stationary, as well as strong noise, a telemetry vibration signal detection method based on adaptive multi-scale time-frequency entropy was proposed. Firstly, the collected telemetry vibration signal was zero drift amended and eliminated the trend term. Secondly, adaptive signal decomposition method was used to multi-scale decompose the signal to obtain a number of components, and the correlation coefficient was used to remove the false component; Thirdly, the time-frequency distribution was calculated by the screening component, and divided multi-layer and multi-scale, then the fractal dimension of the corresponding scale band signal was calculated to determine the divided scale of each frequency band adaptively; Finally, the adaptive multi-scale time-frequency entropy was calculated, then the abnormal telemetry vibration signal was detected through the changes of Time-frequency entropy. and measured data demonstrate the effectiveness of this method.

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劉學(xué),梁紅,張志國.基于自適應多尺度時(shí)頻熵的遙測振動(dòng)信號異常檢測方法計算機測量與控制[J].,2015,23(8):2629-2632.

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  • 收稿日期:2014-11-15
  • 最后修改日期:2014-12-21
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  • 在線(xiàn)發(fā)布日期: 2015-10-08
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