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基于相關(guān)分析與小波變換的齒輪箱故障診斷
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    摘要:

    針對大型機(jī)械工作噪聲大,測取的振動信號信噪比很低,特征信號頻率較高,信號消噪難度大,故障特征信號難以提取的問題,提出了一種基于相關(guān)性分析與小波變換相結(jié)合的故障診斷方法。該方法利用了相關(guān)函數(shù)降噪特性和小波多分辨特性,達(dá)到有效提取有用信號的目的。通過仿真與實(shí)驗(yàn),證明這種方法能有效去除噪聲,對故障特征信號有很強(qiáng)的提取能力。

    Abstract:

    When a large machine is working,the signal-to-noise ratio(SNR) of its vibration signal is very low and the frequency of characteristic signal is very high. The signal is overwhelmed by strong background noise, so it is difficult to pick it up. A new diagnosis method by using correlation analysis and wavelet transform was introduced. The correlation function has been used to suppress the noise and the wavelet for multi-resolution analysis. The effectiveness of suppressing noise and robust ability of detecting fault feature by using this method have been proved by both simulation and experiments done on a gun-automaton gearbox.

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袁佳勝,馮志華.基于相關(guān)分析與小波變換的齒輪箱故障診斷[J].農(nóng)業(yè)機(jī)械學(xué)報,2007,38(8):120-123.[J]. Transactions of the Chinese Society for Agricultural Machinery,2007,38(8):120-123.

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