The-Vibration-Analysis-Handbook-第五章-滚动轴承的诊断中英对照.docxVIP

感谢红星的审阅和指导,文章某些部分还是有翻的不对的地方,如有发现请通知我 CHAPTER FIVE: Accurate Diagnosis of Antifriction Bearings 章节5 滚动轴承的精确诊断 INTRODUCTION 简介 This chapter describes procedures for identifying defects in antifriction bearings by analyzing frequencies generated by the moving parts. Defects on bearing raceways, rolling elements, and the cage generate different frequencies. The spectrum shape, amplitude, frequency, sum and difference frequencies, and the time domain signal are useful in identifying the nature, location, combination, and size of defects. 本章节描述了如何通过分析运动部件产生的频率来识别滚动轴承的缺陷。轴承滚道，滚动元件和保持架上的缺陷会产生不同的频率。频谱形状，振幅，频率，和差频率，以及时域信号都有助于辨认缺陷的性质，位置，组合和大小。 Methods are presented to calculate the bearing frequencies; identify if the bearing is in a thrust or radial load; calculate the length of inner race defects with the time domain signal; and measure the length of a defect on the outer race in the frequency domain spectra. The nature of the defect, such as shallow flaking, deep fatigue spalls, corrosion, acid etching, fluting, and inadequate lubrication can be determined by analyzing the frequency and time domain data. These techniques can also identify bearings with excessive clearance and bearings that are not properly installed, such as those turning on the shaft or loose in the housing. Techniques used to predict the life span of a defective bearing are discussed. 提出计算轴承频率的方法；确定轴承是否承受轴向或径向负荷；通过时域信号计算内圈缺陷长度；通过频域谱估算外圈上某个缺陷的长度。缺陷的性质，如浅层剥落，深层疲劳碎裂，腐蚀，酸蚀，电蚀和润滑不足等都可以通过分析频域和时域数据确定。这些技术也可以用于识别轴承游隙过量以及轴承安装不当，例如跑内圈或跑外圈。对预测有缺陷轴承寿命的技术进行了讨论。 DATA COLLECTION 数据采集 Data collection is the most important step in evaluation of bearing condition. Data should be collected by placing the transducer in the bearing load zone with due respect to flexibility. If this is not done, the best signal definition may not be obtained. For example, with a radial bearing in a radial load, the best signal is obtained in the radial position. For an angular contact bearing or a radial bearing in a thrust load, the best sig