摘要
分析滚动轴承出现故障后振动信号的特征,在给出滚动轴承冲击信号数学模型的基础上,指出滚动轴承故障为典型的非平稳信号,具有很宽的频带,用幅值谱难以获得故障特征。利用滚动轴承回转工作的特点,推导滚动轴承故障信号的循环平稳性,指出该故障信号为几乎周期平稳信号。简单介绍二阶循环统计量的解调特性,提出先对滚动轴承故障信号进行带通滤波,然后利用二阶循环统计量解调来进行故障特征识别。对工业现场故障数据的分析表明所提出方法的有效性。
The vibration feature of bearing with fault is analyzed, and on the condition of the mathematical model with impact signal of bearing, the signal is pointed out to be non-stationary and have the wide frequency band, so the fault feature can＇t be gotten with the amplitude spectrum. Referencing the property of rotating movement of bearing, the cyclostationarity of vibration signal is deduced, and the signal is almost cyclostationary. The demodulation function o the second-order cyclic statistics is introduced, the method of using filtering and the second-order cyclic statistics to identify the fault feature is derived. The vibration of bearing with fault is analyzed and showed the method proposed in the paper is effective.
出处
《机械工程学报》
EI
CAS
CSCD
北大核心
2007年第1期144-146,151,共4页
Journal of Mechanical Engineering
基金
国家自然科学基金(50475078)
江苏省研究生创新基金(xm04-23)资助项目
关键词
滚动轴承
故障诊断
周期平稳
滤波
二阶循环统计量
Rolling bearing Fault diagnosis Cyclostationary Filtering Second-order cyclic statistics
