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齿轮箱故障诊断方法.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,就可提取齿轮的故障特征.通过对齿轮齿根裂纹故障实验信号的分析,表明阶次倒双谱分析能有效地诊断齿轮的裂纹故障.
In order to process the non-stationary vibration signals such as speed up or speed down sig- nals effectively, the order bi-cepstrum technique is presented. This new method combines order tracking technique with bi-cepstrum analysis, Firstly, the vibration signal during gearbox speed up or speed down is sampled at constant time increments, then certain software is used to resample the data at constant angle increments. Therefore, the time domain transient signal is changed into angle domain stationary signal. In the end, the resample signals are processed by bi-cepstrum technique and the fault character can be extracted. The experimental results show that order bi-cepstrum techniques can effectively diagnose the faults of gear crack.
出处
《北京交通大学学报》
EI
CAS
CSCD
北大核心
2008年第4期1-5,共5页
JOURNAL OF BEIJING JIAOTONG UNIVERSITY
基金
国家自然科学基金资助项目(5037515750775219)
关键词
振动
信号处理
倒双谱
齿轮
故障诊断
阶次分析
vibrations
signal processing
bi-cepstrum
gears
faults diagnosis
order tracking analysis
