【作者】 马金山；

【导师】 熊诗波； 熊晓燕；

【作者基本信息】 太原理工大学 ， 机械电子工程， 2005， 硕士

【摘要】 滚动轴承是机电系统中的易损零件,许多机械的故障都与滚动轴承的状态有关。据统计,在使用滚动轴承的旋转机械中,大约30%的机械故障是由于滚动轴承的损坏造成的。可见,滚动轴承的好坏对机电系统工作状况的影响极大。由于设计不当和安装工艺不好或轴承的使用条件不佳,或突发载荷的影响,使轴承运转一段时间后会产生各种各样的缺陷,并且在继续运行中进一步扩大,使轴承运行状态发生变化。因此,滚动轴承的故障诊断一直是研究的热点。进行滚动轴承的状态检测监测与故障诊断的最常用方法是振动信号分析法。 本文总结分析了滚动轴承典型故障的机理及其振动特征,详细介绍了滚动轴承振动信号分析与故障诊断的一些方法,比较了各种方法的特点,并深入研究了基于小波包变换的频谱分析方法。更多还原

【Abstract】 Rolling element bearing is one of the most easily damaged parts of electromechanical systems. A lot of mechanical failure is relevant to the state of rolling element bearings. It is estimated that about 30 percent of mechanical failure is caused by its fault in the rotating machine with rolling element bearings. It is obvious that the quality of rolling element bearings has a great impact on the working condition of electromechanical systems. Because of wrong design, poor working condition or a jump heavy load, bearing will be damaged and worse during the running time. So at present, the fault diagnosis of rolling element bearings is a research hotspot.The analysis of vibration signals is the most common method in the condition monitoring and fault diagnosis of rolling element bearings.This paper generalized the fault mechanism and the vibration characteristics of rolling element bearings, introduced in detail some methods of vibration signals analysis and fault diagnosis for rolling element bearings, compared the characteristics of these methods, and researched deeply the spectrum analyses method based on wavelet packet transform.In order to make experiment for simulating the fault of a single rolling bearing, we constituted the fault diagnosis system of rolling element bearings. We measured and diagnosed some representative failure of 2612 type of rolling element bearing on the lab desk in testing laboratory and received satisfying effect. The collected data is transformed and input to a computer. We analyze signals and diagnose fault on the base of the WINDOWS operating system and the MATLAB softwaredesk. The paper processed the collected signals from the locale using these methods, such as power spectrum, envelope demodulated spectrum, wavelet packet transform. At the same time, it compared these methods and put forward some useful suggestions.The paper successfully completed the design task and the result meets the expectation. We researched the fault diagnosis methods and simulating experiment of rolling element bearings and validated the fault diagnosis methods of rolling element bearings.更多还原