基于HHT的提升机天轮轴承故障诊断方法研究

发布时间：2018-07-10 18:07

本文选题：轴承故障检测 + HHT　；参考：《山东大学》2011年硕士论文

【摘要】：提升机天轮轴承是矿井提升系统的重要部件,轴承运行状态的好坏直接影响到整个提升系统的性能。一旦轴承出现故障,将会导致提升系统不能正常工作,给煤矿生产带来巨大的安全隐患和经济损失。因此,研究滚动轴承故障诊断方法具有重要的意义。本文介绍了一种时频分析的新方法——HHT(Hilbert-Huang Transform),HHT方法包括两个部分,EMD分解和Hilbert变换,其中最重要的是EMD分解。本文就EMD分解中出现的模态混叠现象进行了分析,并用EEMD分解方法改进了原有的EMD分解方法,验证了EEMD分解的优越性。基于此提出了新的HHT方法：EEMD+Hilbert变换。本文将该方法应用到提升机天轮轴承故障诊断中,实现了对提升机天轮轴承故障的精确诊断。本文的主要研究内容包括：对HHT信号分解过程进行了仿真,说明了HHT方法的实现步骤；搭建实验平台,获取轴承故障模拟信号,对模拟信号进行HHT,提取故障特征；研究矿井提升机天轮轴承故障诊断的方法,并将该方法应用到济宁二号井,取得了理想的效果。滚动轴承包括内圈、外圈、滚动体和保持架四个部分,本文主要研究了内圈、外圈和滚动体故障特征,当这三个部分出现故障的时候,轴承表现出的特征频率是不一样的。因此,通过HHT处理轴承振动信号,提取轴承故障特征,可以准确判断轴承故障发生的位置,保证轴承出现故障的时候及时对轴承进行检修维护,确保矿井提升机系统的正常运行和煤矿的安全生产。
[Abstract]:The hoist sky-wheel bearing is an important part of the mine hoisting system. The performance of the whole hoisting system is directly affected by the running condition of the bearing. Once the bearing fails, the lifting system will not work properly, which will bring huge safety hidden trouble and economic loss to the coal mine production. Therefore, it is of great significance to study the fault diagnosis method of rolling bearing. In this paper, a new time-frequency analysis method, HHT (Hilbert-Huang transform), is introduced, which consists of two parts: EMD decomposition and Hilbert transform, the most important of which is EMD decomposition. In this paper, the phenomenon of modal aliasing in EMD decomposition is analyzed, and the advantages of EEMD decomposition are verified by improving the original EMD decomposition method with EEMD decomposition method. Based on this, a new HHT method is proposed, which is called the: EEMD Hilbert transform. In this paper, the method is applied to the fault diagnosis of the hoist's sky-wheel bearing, and the accurate diagnosis of the hoist's sky-wheel bearing is realized. The main research contents of this paper are as follows: the process of HHT signal decomposition is simulated, the realization steps of HHT method are explained, the experimental platform is set up, the bearing fault simulation signal is obtained, the analog signal is obtained by HHT, and the fault feature is extracted. This paper studies the method of fault diagnosis for the bearing of mine hoist and applies it to Jining No. 2 well with satisfactory results. The rolling bearing includes four parts: inner ring, outer ring, rolling body and cage. In this paper, the fault characteristics of inner ring, outer ring and rolling body are studied. When these three parts fail, the characteristic frequency of bearing is different. Therefore, by using HHT to process bearing vibration signal and extract bearing fault characteristics, the location of bearing fault can be accurately judged, and the maintenance of bearing can be ensured in time when bearing fault occurs. Ensure the normal operation of mine hoist system and safety production of coal mine.
【学位授予单位】：山东大学
【学位级别】：硕士
【学位授予年份】：2011
【分类号】：TD534;TH165.3

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