本文選題：諧波小波 + 去趨勢波動(dòng)分析��； 參考：《振動(dòng)與沖擊》2017年15期

【摘要】：為實(shí)現(xiàn)摩擦振動(dòng)信號的降噪和摩擦振動(dòng)信號特征提取,在往復(fù)式摩擦磨損試驗(yàn)機(jī)上進(jìn)行了摩擦副摩合磨損試驗(yàn)。應(yīng)用諧波小波對獲得的非線性、非平穩(wěn)的摩擦振動(dòng)信號進(jìn)行分解,實(shí)現(xiàn)摩擦振動(dòng)信號的降噪。應(yīng)用去趨勢波動(dòng)分析算法對摩擦振動(dòng)信號進(jìn)行分析,獲得不同階數(shù)下的Hurst指數(shù),判別數(shù)據(jù)序列的屬性及其趨勢增強(qiáng)的程度。研究結(jié)果表明,隨著磨合磨損試驗(yàn)的進(jìn)行,摩擦振動(dòng)信號的標(biāo)度指數(shù)呈現(xiàn)逐漸增大的變化趨勢,去趨勢波動(dòng)分析算法能夠?qū)崿F(xiàn)摩擦振動(dòng)信號特征提取,摩擦振動(dòng)信號的標(biāo)度指數(shù)變化能夠用于摩擦副的磨合磨損狀態(tài)監(jiān)測和識(shí)別。
[Abstract]:In order to reduce the noise of the friction vibration signal and extract the feature of the friction vibration signal, the friction pair friction and wear test was carried out on the reciprocating friction and wear tester. The nonlinear and non-stationary friction vibration signals obtained are decomposed by harmonic wavelet, and the noise reduction of friction vibration signals is realized. The Hurst exponent under different order is obtained by analyzing the friction vibration signal by using the detrend wave analysis algorithm, and the attribute of the data series and the degree of trend enhancement are distinguished. The results show that the scaling index of friction vibration signal increases gradually with the running in and wear test, and the characteristic extraction of friction vibration signal can be realized by undulating analysis algorithm. The change of scale exponent of friction vibration signal can be used to monitor and identify the running-in and wear state of friction pair.
【作者單位】： 上海海事大學(xué)商船學(xué)院;大連海事大學(xué)輪機(jī)工程學(xué)院;
【基金】：國家高技術(shù)研究發(fā)展計(jì)劃(863計(jì)劃)(2013AA040203)
【分類號】：TH117.1

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1 吳永恒;基于自適應(yīng)非趨勢波動(dòng)分析的齒輪故障診斷[D];武漢科技大學(xué);2014年

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本文編號：1985125