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基于經(jīng)驗(yàn)?zāi)B(tài)分解和Duffing振子的軸承故障診斷
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F(xiàn)ault Diagnosis of Bearing Based on EMD and Duffing Oscillator
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    摘要:

    針對(duì)齒輪箱軸承振動(dòng)信號(hào)故障信息容易被噪聲淹沒,,且具有非線性,、非平穩(wěn)特性的問題,,提出了基于經(jīng)驗(yàn)?zāi)B(tài)分解(EMD)和Duffing振子的軸承故障診斷方法,。首先對(duì)原始振動(dòng)信號(hào)進(jìn)行經(jīng)驗(yàn)?zāi)B(tài)分解,,找到包含軸承故障信息的固有模態(tài)函數(shù)(IMF),然后利用Duffing振子的分岔圖找到混沌振子相軌跡發(fā)生變化的內(nèi)部激勵(lì)力分界值,,并將Duffing 振子的內(nèi)部激勵(lì)力頻率設(shè)定為軸承故障特征頻率,,最后從混沌振子輸出相軌跡的變化來檢測(cè)齒輪箱軸承故障信息。實(shí)驗(yàn)結(jié)果表明,,基于EMD和Duffing振子的故障診斷方法能夠檢測(cè)軸承故障信息,。

    Abstract:

    Aiming at detecting bearing fault information, which is easily to be submerged in heavy noise and whose characteristics is nonlinear and non-stationary, a method of fault diagnosis based on empirical mode decomposition (EMD) and Duffing oscillator was put forward. This method decomposed the original signals using EMD to find intrinsic mode function (IMF) of containing the fault information, then the dividing value of force making the Duffing oscillator phase orbit changed was got, the inner motivation force frequency was set to the same frequency as the bearing fault, at last the fault was determined according to the change of Duffing oscillator’s phase orbit. The results of experiments show that this method can detect the fault of bearing successfully. 

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關(guān)貞珍,鄭海起,楊云濤,王彥剛.基于經(jīng)驗(yàn)?zāi)B(tài)分解和Duffing振子的軸承故障診斷[J].農(nóng)業(yè)機(jī)械學(xué)報(bào),2010,41(9):214-217.F(xiàn)ault Diagnosis of Bearing Based on EMD and Duffing Oscillator[J]. Transactions of the Chinese Society for Agricultural Machinery,2010,41(9):214-217.

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