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故障軸承振動(dòng)特性分析與典型故障診斷

發(fā)布時(shí)間:2019-03-03 00:23
【摘要】:滾動(dòng)軸承是各種旋轉(zhuǎn)機(jī)械中應(yīng)用較廣泛且易損壞的機(jī)械零部件之一,它的運(yùn)行狀態(tài)往往直接影響著整臺(tái)機(jī)器的性能。對(duì)滾動(dòng)軸承進(jìn)行可靠的故障診斷能及時(shí)地發(fā)現(xiàn)故障,能有效地避免機(jī)器的損壞和人員傷亡等重大事故。特別在軋鋼機(jī)械中,滾動(dòng)軸承更是特別重要的零件,故研究滾動(dòng)軸承故障診斷具有現(xiàn)實(shí)的意義。 利用電火花破壞滾動(dòng)軸承用以模擬軸承故障,采用模擬故障代替實(shí)際故障進(jìn)行試驗(yàn)研究。搭建滾動(dòng)軸承故障實(shí)驗(yàn)平臺(tái)并在平臺(tái)上采集振動(dòng)信號(hào)用于試驗(yàn)研究。 本文首先分析了滾動(dòng)軸承的故障機(jī)理和振動(dòng)特性,并總結(jié)了滾動(dòng)軸承局部損傷類故障振動(dòng)信號(hào)的周期性沖擊和幅值調(diào)制的特性;然后為有效地提取滾動(dòng)軸承故障特征,提出了一種基于經(jīng)驗(yàn)?zāi)B(tài)分解法和獨(dú)立分量分析法相結(jié)合的故障特征提取的方法,并應(yīng)用到實(shí)際的滾動(dòng)軸承實(shí)驗(yàn)數(shù)據(jù)處理和分析中,,表明能準(zhǔn)確地提取滾動(dòng)軸承的故障特征;其次,對(duì)支持向量機(jī)的理論做了系統(tǒng)研究,提出用基于交叉驗(yàn)證的遺傳算法對(duì)支持向量機(jī)中懲罰參數(shù)C和高斯核參數(shù)γ進(jìn)行尋優(yōu),確保了分類模型的最優(yōu)性;最后,提出了利用分離矩陣的奇異值作為滾動(dòng)軸承故障特征向量的方法,通過(guò)實(shí)際滾動(dòng)軸承振動(dòng)實(shí)驗(yàn)并采集數(shù)據(jù),驗(yàn)證了該方法能較好的鑒別故障類型。 采用MATLAB和LabVIEW相結(jié)合的方法完成了對(duì)滾動(dòng)軸承智能故障診斷系統(tǒng)平臺(tái)的開(kāi)發(fā)。該平臺(tái)界面友好,易于操作;通過(guò)在滾動(dòng)軸承實(shí)驗(yàn)臺(tái)上模擬滾動(dòng)軸承的典型故障的振動(dòng)試驗(yàn),結(jié)果證明該診斷系統(tǒng)性能良好。
[Abstract]:Rolling bearing is one of the mechanical parts which are widely used and easy to be damaged in various rotating machinery. Its running state often directly affects the performance of the whole machine. Reliable fault diagnosis of rolling bearings can find faults in time, and can effectively avoid serious accidents such as machine damage and casualties. Especially in rolling machinery, rolling bearing is a very important part, so it is of practical significance to study the fault diagnosis of rolling bearing. Using the electric spark to destroy the rolling bearing is used to simulate the bearing fault, and the simulation fault is used to replace the actual fault to carry on the experiment research. A rolling bearing fault test platform is set up and vibration signals are collected on the platform for experimental research. In this paper, the fault mechanism and vibration characteristics of rolling bearings are analyzed firstly, and the periodic shock and amplitude modulation characteristics of local damage vibration signals of rolling bearings are summarized. Then, in order to extract the fault feature of rolling bearing effectively, a fault feature extraction method based on the combination of empirical mode decomposition method and independent component analysis method is proposed, which is applied to the practical data processing and analysis of rolling bearing experiment. It is shown that the fault characteristics of rolling bearing can be extracted accurately. Secondly, the theory of support vector machine is studied systematically, and the genetic algorithm based on cross-validation is proposed to optimize the penalty parameter C and Gao Si kernel parameter 緯 in support vector machine, which ensures the optimality of classification model. Finally, the singular value of the separation matrix is used as the fault characteristic vector of rolling bearing. Through the vibration experiment of the rolling bearing and the collection of data, the method is proved to be effective in identifying the fault types. The intelligent fault diagnosis system platform of rolling bearing is developed by means of MATLAB and LabVIEW. The platform has a friendly interface and is easy to operate, and the performance of the diagnosis system is proved to be good by simulating the vibration tests of typical faults of rolling bearings on the rolling bearing test stand.
【學(xué)位授予單位】:燕山大學(xué)
【學(xué)位級(jí)別】:碩士
【學(xué)位授予年份】:2012
【分類號(hào)】:TH165.3

【參考文獻(xiàn)】

相關(guān)期刊論文 前10條

1 羅繼偉;滾動(dòng)軸承受力分析及其進(jìn)展[J];軸承;2001年09期

2 李良敏;基于遺傳算法的盲源分離在軸承診斷中的應(yīng)用[J];軸承;2005年09期

3 蓋強(qiáng),馬孝江,張海勇,鄒巖];一種消除局域波法中邊界效應(yīng)的新方法[J];大連理工大學(xué)學(xué)報(bào);2002年01期

4 梁曉剛;張永昌;翟弘泰;;LabVIEW與Matlab混合編程的實(shí)現(xiàn)[J];電腦開(kāi)發(fā)與應(yīng)用;2009年09期

5 胡佑蘭;彭天好;朱劉英;;MATLAB和LabVIEW混合編程及在控制系統(tǒng)中的應(yīng)用[J];機(jī)床與液壓;2009年10期

6 楊俊;吳建華;;基于支持向量機(jī)的異步電機(jī)故障診斷系統(tǒng)[J];機(jī)電工程;2008年01期

7 于青;趙輝;;基于GA的ε-支持向量機(jī)參數(shù)優(yōu)化研究[J];計(jì)算機(jī)工程與應(yīng)用;2008年15期

8 劉學(xué)勝;;基于PCA和SVM算法的人臉識(shí)別[J];計(jì)算機(jī)與數(shù)字工程;2011年07期

9 鐘振茂,陳進(jìn),鐘平;盲源分離技術(shù)用于機(jī)械故障診斷的研究初探[J];機(jī)械科學(xué)與技術(shù);2002年02期

10 王興玲,李占斌;基于網(wǎng)格搜索的支持向量機(jī)核函數(shù)參數(shù)的確定[J];中國(guó)海洋大學(xué)學(xué)報(bào)(自然科學(xué)版);2005年05期

相關(guān)博士學(xué)位論文 前6條

1 陳建國(guó);基于獨(dú)立分量分析的機(jī)械故障特征提取及分類方法研究[D];大連理工大學(xué);2011年

2 傅瑜;小波分析在旋轉(zhuǎn)機(jī)械故障診斷中的應(yīng)用[D];西安電子科技大學(xué);1998年

3 陸爽;基于現(xiàn)代信號(hào)分析和神經(jīng)網(wǎng)絡(luò)的滾動(dòng)軸承智能診斷技術(shù)研究[D];吉林大學(xué);2004年

4 孫暉;經(jīng)驗(yàn)?zāi)B(tài)分解理論與應(yīng)用研究[D];浙江大學(xué);2005年

5 金巖;基于小波變換與獨(dú)立分量分析的內(nèi)燃機(jī)振聲特性研究[D];浙江大學(xué);2007年

6 李強(qiáng);機(jī)械設(shè)備早期故障預(yù)示中的微弱信號(hào)檢測(cè)技術(shù)研究[D];天津大學(xué);2008年

相關(guān)碩士學(xué)位論文 前1條

1 李公法;基于Internet的軋機(jī)在線監(jiān)測(cè)與故障診斷系統(tǒng)[D];武漢科技大學(xué);2004年



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