摘要
振动信号中的周期性冲击现象是诊断滚动轴承各元件故障的重要依据之一,针对滚动轴承故障特征,在小波变换理论基础上提出一种时间—小波能量谱信号处理方法,它能够有效地提取出振动信号中冲击成分的时域和频域特征。利用时间—小波能量谱方法分析正常、外圈故障、内圈故障、滚珠故障等四种状态下滚动轴承的振动信号,并与传统的包络解调分析方法进行对比分析。时间—小波能量谱不仅可以有效提取出冲击特征明显的滚动轴承外圈故障,还能提取出内圈、滚珠等信号特征微弱的滚动轴承故障,而包络解调分析方法只能提取出外圈故障特征而不能提取出滚珠故障、内圈故障特征。结果表明,时间—小波能量普比包络解调分析方法更能有效地提取出振动信号中的冲击信号成分。
Periodic impulse in vibration signals is one of the key indicators to diagnose localized damage of bearing elements.A new method,so called time-wavelet energy spectrum,is proposed for rolling element bearing fault diagnosis.The feature of periodic impulses in both time domain and frequency domain can be extracted effectively by this method.This method is applied to analyzing the vibration signals of bearings under normal and faulty（with damage on outer race,inner race and ball respectively） statuses,and its performance is compared with the traditional envelope demodulation method.It is found that the time-wavelet energy spectrum is more effective in extracting the periodic impulses features produced by localized bearing damage than the envelope demodulation analysis.It can not only extract the relatively significant fault feature of outer race damage,but also extract the weaker fault features of inner race damage and ball damage.
出处
《机械工程学报》
EI
CAS
CSCD
北大核心
2011年第17期44-49,共6页
Journal of Mechanical Engineering
基金
国家自然科学基金(10702031
50705007)
北京市自然科学基金(3102022)资助项目
关键词
滚动轴承
故障诊断
小波变换
时间—小波能量谱
Rolling element bearing Fault diagnosis Wavelet transform Time-wavelet energy spectrum
