本文關(guān)鍵詞：散熱風扇軸承故障診斷與狀態(tài)評估　出處：《電子科技大學》2012年碩士論文　論文類型：學位論文

  更多相關(guān)文章： 散熱風扇 故障診斷與狀態(tài)評估 狀況監(jiān)測 小波分析 MED濾波 EMD分解 SVM

【摘要】：隨著信息技術(shù)和微電子技術(shù)的迅猛發(fā)展，電子器件的熱流密度不斷增加，功耗不斷增大，電子設(shè)備也向著更輕、更薄的方向發(fā)展，使得電子設(shè)備的散熱問題變得越來越突出。散熱風扇作為電子設(shè)備散熱系統(tǒng)的關(guān)鍵部件，在保證系統(tǒng)平穩(wěn)可靠運行上起著至關(guān)重要的作用。根據(jù)統(tǒng)計，散熱風扇的大部分機械失效主要集中在軸承故障上。因此，對散熱風扇軸承開展故障診斷和狀態(tài)評估能夠有效保證電子設(shè)備運行的可靠性和延長電子設(shè)備的使用壽命。 本文針對散熱風扇軸承的振動機理和運行方式，對其開展了一系列故障診斷和狀態(tài)評估的相關(guān)研究，主要內(nèi)容包括：分析了散熱風扇的結(jié)構(gòu)特征，回顧了滾動軸承的振動機理和信號特征；利用EMD分解、小波分析、AR自回歸線性預測和MED濾波等信號處理技術(shù)對散熱風扇軸承的振動信號進行分析，實現(xiàn)了散熱風扇軸承的故障診斷；同時，構(gòu)造了一個特殊的梳齒形濾波器，從信號的頻域建立了一種健康指數(shù)，對軸承的健康狀態(tài)進行監(jiān)測；此外，本文還利用SVM技術(shù)對散熱風扇軸承的運行狀態(tài)進行了分類和識別，，并且基于分類結(jié)果構(gòu)造了散熱風扇軸承的退化指數(shù)，實現(xiàn)了散熱風扇軸承的退化評估。
[Abstract]:With the rapid development of information technology and microelectronic technology, the heat flux of electronic devices is increasing, the power consumption is increasing, and the electronic equipment is developing towards lighter and thinner direction. The heat dissipation problem of electronic equipment becomes more and more prominent. As a key component of heat dissipation system of electronic equipment, heat dissipation fan plays an important role in ensuring the smooth and reliable operation of the system. According to statistics. Most of the mechanical failures of the cooling fan are concentrated on the bearing failure. Fault diagnosis and condition evaluation of heat dissipation fan bearings can effectively guarantee the reliability of electronic equipment and prolong the service life of electronic equipment. Aiming at the vibration mechanism and operation mode of heat dissipation fan bearing, a series of related researches on fault diagnosis and condition evaluation are carried out in this paper. The main contents include: analyzing the structural characteristics of heat dissipation fan. The vibration mechanism and signal characteristics of rolling bearings are reviewed. Using EMD decomposition, wavelet analysis, AR autoregressive linear prediction and MED filter signal processing technology, the vibration signal of heat dissipation fan bearing is analyzed, and the fault diagnosis of heat dissipation fan bearing is realized. At the same time, a special comb filter is constructed, and a health index is established from the frequency domain of the signal to monitor the health status of the bearing. In addition, the SVM technology is used to classify and identify the running state of the cooling fan bearing, and based on the classification results, the degradation index of the heat dissipation fan bearing is constructed. The degradation assessment of cooling fan bearings is realized.
【學位授予單位】：電子科技大學
【學位級別】：碩士
【學位授予年份】：2012
【分類號】：TH165.3

【參考文獻】

相關(guān)期刊論文 前8條

1 洪杰;韓磊;苗學問;馬艷紅;;基于支持向量機的滾動軸承狀態(tài)壽命評估[J];北京航空航天大學學報;2010年08期

2 張周鎖,李凌均,何正嘉;基于支持向量機的多故障分類器及應(yīng)用[J];機械科學與技術(shù);2004年05期

3 何正嘉,李富才,杜遠,陳鵬;小波技術(shù)在機械監(jiān)測診斷領(lǐng)域的應(yīng)用現(xiàn)狀與進展[J];西安交通大學學報;2001年05期

4 夏松波,張嘉鐘,徐世昌,張禮勇;旋轉(zhuǎn)機械故障診斷技術(shù)的現(xiàn)狀與展望[J];振動與沖擊;1997年02期

5 楊宇,于德介,程軍圣;基于Hilbert邊際譜的滾動軸承故障診斷方法[J];振動與沖擊;2005年01期

6 楊宇,于德介,程軍圣;基于EMD的奇異值分解技術(shù)在滾動軸承故障診斷中的應(yīng)用[J];振動與沖擊;2005年02期

7 潘玉娜;陳進;;小波包-支持向量數(shù)據(jù)描述在軸承性能退化評估中的應(yīng)用研究[J];振動與沖擊;2009年04期

8 劉雨;陳進;潘玉娜;郭磊;;基于SVDD與信息融合技術(shù)的設(shè)備性能退化評估[J];振動與沖擊;2009年09期

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