傅里叶分析滚动轴承的故障诊断

LOCKLOSE

傅里叶分析滚动轴承的故障诊断

摘要：简要介绍了快速傅里叶变换（FFT）在滚动轴承故障分析中的应用，滚动轴承在机械设备中使用非常广泛，其工作状态直接影响整个设备的运行品质。对滚动轴承进行状态监测与故障诊断，能够避免重大事故的发生，获得较大的经济和社会效益。通过快速傅里叶变换（FFT）对滚动轴承运行时的实时数据信号进行分析，可以实现对滚动轴承的状态监测和故障诊断。同时，采用对正常轴承和故障轴承信号对比分析、各种故障轴承之间信号的对比分析，加深了快速傅里叶变换（FFT）对轴承实时信号分析的运用和理解，能够更好的对轴承进行状态监测和故障分析。
关键词：快速傅里叶变换（FFT）；滚动轴承；故障诊断；状态监测

Abstract: This paper describes a fast Fourier transform (FFT) in the rolling bearing failure analysis applications, bearing in machinery and equipment is widely used, and its working status directly affects the quality of the operation of the entire device. Rolling element bearing condition monitoring and fault diagnosis, able to avoid major accidents and achieve greater economic and social benefits. Through Fast Fourier Transform (FFT) for real-time data bearing signal runtime analysis can be achieved on the rolling bearing condition monitoring and fault diagnosis. Meanwhile, the use of normal bearings and bearing fault signal comparative analysis of various fault signals comparative analysis between the bearings and deepened the fast Fourier transform (FFT) of the bearing using real-time signal analysis and understanding of the bearing can be better condition monitoring and fault analysis.
Keywords: fast Fourier transform (FFT); Rolling; fault diagnosis; condition monitoring

傅里叶分析滚动轴承的故障诊断.rar(1.32MB)
链接: http://pan.baidu.com/s/1hrGiwXe 密码: 5ci9