散热风扇轴承故障诊断与状态评估
发布时间:2018-01-03 05:38
本文关键词:散热风扇轴承故障诊断与状态评估 出处:《电子科技大学》2012年硕士论文 论文类型:学位论文
更多相关文章: 散热风扇 故障诊断与状态评估 状况监测 小波分析 MED滤波 EMD分解 SVM
【摘要】:随着信息技术和微电子技术的迅猛发展,电子器件的热流密度不断增加,功耗不断增大,电子设备也向着更轻、更薄的方向发展,使得电子设备的散热问题变得越来越突出。散热风扇作为电子设备散热系统的关键部件,在保证系统平稳可靠运行上起着至关重要的作用。根据统计,散热风扇的大部分机械失效主要集中在轴承故障上。因此,对散热风扇轴承开展故障诊断和状态评估能够有效保证电子设备运行的可靠性和延长电子设备的使用寿命。 本文针对散热风扇轴承的振动机理和运行方式,对其开展了一系列故障诊断和状态评估的相关研究,主要内容包括:分析了散热风扇的结构特征,回顾了滚动轴承的振动机理和信号特征;利用EMD分解、小波分析、AR自回归线性预测和MED滤波等信号处理技术对散热风扇轴承的振动信号进行分析,实现了散热风扇轴承的故障诊断;同时,构造了一个特殊的梳齿形滤波器,从信号的频域建立了一种健康指数,对轴承的健康状态进行监测;此外,本文还利用SVM技术对散热风扇轴承的运行状态进行了分类和识别,,并且基于分类结果构造了散热风扇轴承的退化指数,实现了散热风扇轴承的退化评估。
[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.
【学位授予单位】:电子科技大学
【学位级别】:硕士
【学位授予年份】:2012
【分类号】:TH165.3
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