基于阶次倒双谱分析的滚动轴承故障诊断方法  

Order Bicepstrum Based Fault Diagnosis Method for Roller Bearing

作　　者：李辉[1] 郑海起[2] 潘宏侠[3] 

机构地区：[1]石家庄铁路职业技术学院机电工程系,河北石家庄050041 [2]军械工程学院一系,河北石家庄050003 [3]中北大学机械工程与自动化学院,山西太原030051

出　　处：《中北大学学报（自然科学版）》2008年第5期439-444,共6页Journal of North University of China(Natural Science Edition)

基　　金：国家自然科学基金资助项目(50375157)

摘　　要：针对齿轮箱升降速过程中振动信号非平稳的特点,将常规的阶次分析与倒双谱技术相结合,提出了基于阶次倒双谱的轴承故障诊断方法.首先对齿轮箱升降速瞬态信号进行时域采样,再对时域非平稳信号进行等角度重采样,转化为角域平稳信号,最后对角域重采样信号进行倒双谱分析,就可提取滚动轴承振动信号的故障特征.通过对滚动轴承内圈、外圈故障实验信号的分析,表明阶次倒双谱分析能有效地诊断滚动轴承故障.In order to effectively process the non-stationary vibration signals, a fault diagnosis method for roller bearing, combining the order bicepstrum analysis and the order tracking technique is presented. First, the vibration signal is sampled at constant time increments. And then the time-domain data is re-sampled at constant angle increments and transformed into the angle domain stationary signal. Finally, the bicepstrum technique is adopted to extract the fault characters of the vibration signal for roller bearing. The experimental results demonstrate the effectiveness of the proposed method.

关 键 词：故障诊断 滚动轴承 阶次跟踪 倒双谱 故障特征 

分 类 号：TH115[机械工程—机械设计及理论]