滚动轴承质量检测装置信号处理系统的设计与实现

发布时间：2018-06-20 10:28

本文选题：滚动轴承 + 振动　；参考：《华中科技大学》2013年硕士论文

【摘要】：滚动轴承运转时发出的振动能够反映滚动轴承综合质量，它直接影响滚动轴承的使用性能。目前现有的滚动轴承振动检测仪只能测量轴承的振动速度，功能简单，自动化程度低。有必要研制一种能够自动检测并处理轴承振动信号，自动判定轴承振动质量等级并能判定不合格轴承缺陷的质量检测系统。轴承振动信号处理系统是这种滚动轴承质量检测系统能高效和准确运行的关键。因此本文开展轴承质量检测装置的研究，重点研究其信号采集与信号处理系统。首先研究了轴承振动机理、信号采集、时域统计、共振解调等技术与方法并应用这些技术与方法对轴承振动信号进行了分析。根据缺陷轴承振动信号的特点，提出了采用滑移峭度算法来检测轴承油脂夹渣缺陷的方法。通过对共振解调等技术的实际应用，，其能够有效的提取出滚动轴承表面缺陷的特征信号，为轴承缺陷分类提供依据。其次，设计并实现了基于PC机的轴承振动信号采集与分析系统。根据轴承振动信号的特点与信号处理速度的要求，选定了信号采集系统的各个部件。设计并实现了振动信号处理软件。通过实验验证了系统采用滑移算法能够有效检测滚动轴承油脂夹渣缺陷，并通过实验验证了系统采用共振解调方法能够有效提取滚动轴承表面缺陷特征信号。
[Abstract]:The vibration of rolling bearing can reflect the comprehensive quality of rolling bearing, which directly affects the performance of rolling bearing. At present, the existing rolling bearing vibration detector can only measure the bearing vibration speed, simple function and low automation. It is necessary to develop a quality detection system which can automatically detect and process bearing vibration signals, automatically judge bearing vibration quality grade and determine substandard bearing defects. Bearing vibration signal processing system is the key to the high efficiency and accurate operation of the rolling bearing quality detection system. Therefore, the research of bearing quality detection device is carried out in this paper, especially its signal acquisition and signal processing system. Firstly, the bearing vibration mechanism, signal acquisition, time domain statistics, resonance demodulation and other techniques and methods are studied, and the bearing vibration signals are analyzed by using these techniques and methods. According to the characteristics of vibration signals of defective bearings, a slip kurtosis algorithm is proposed to detect the defects of bearing grease and slag. Through the practical application of resonance demodulation technology, it can effectively extract the characteristic signals of the surface defects of rolling bearings, and provide the basis for the classification of bearing defects. Secondly, the bearing vibration signal acquisition and analysis system based on PC is designed and implemented. According to the characteristics of bearing vibration signal and the requirement of signal processing speed, the components of signal acquisition system are selected. The vibration signal processing software is designed and implemented. It is verified by experiments that the slippage algorithm can effectively detect the defect of oil and grease inclusion in rolling bearing and the resonance demodulation method can effectively extract the characteristic signal of surface defect of rolling bearing.
【学位授予单位】：华中科技大学
【学位级别】：硕士
【学位授予年份】：2013
【分类号】：TH133.33

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