摘要
提出了将局部特征尺度分解(Local characteristic-scale decomposition,简称LCD)和改进Teager能量算子(NTEO)相结合的滚动轴承故障诊断方法.首先简单介绍了近几年新提出的一种自适应时频分析方法LCD,它能够将一个复杂的多分量信号分解为若干内禀尺度分量(Intrinsic scale component,简称ISC),计算各阶ISC的峭度和与原信号的相关度,然后对峭度和相关度都比较大的ISC用NTEO计算瞬时Teager能量序列,接下来把各阶Teager能量序列相加得到总的能量序列,最后对能量序列做快速傅里叶变换,查找故障频率.分别把有内圈和外圈故障的轴承的振动信号进行了分析,有效的提取出了故障特征频率,并与传统的Hilbert包络谱方法和Teager能量谱进行对比,验证了方法的优越性.
A rolling bearing fault diagnosis method combining local characteristic-scale decomposition(LCD)and improved Teager energy operator(NTEO)is proposed.First of all,a brief introduction of a new adaptive time-frequency analysis method LCD proposed in recent years is presented.It can decompose a complex multi-component signal into Intrinsic Scale Components(ISCs)and calculate the ISC Kurtosis and the correlation coefficient with the original signal,and then the ISC with relatively large kurtosis and correlation coefficient calculates the instantaneous Teager energy sequence by using NTEO,and then adds the energy sequence of each order Teager to obtain the total energy sequence.Finally,implement fast Fourier transform to the energy sequence to find fault frequency.The vibration signals of bearing with inner ring and outer ring failure are respectively analyzed,the fault characteristic frequency is extracted effectively,and compared with the traditional Hilbert enveloping spectrum method and Teager energy spectrum to verify the superiority of the method.
作者
张小琛
刘德平
王耀赢
ZHANG Xiao-chen;LIU De-ping;WANG Yao-ying(School of Mechanical Engineering,Zhengzhou University,He’nan Zhengzhou450001,China)
出处
《机械设计与制造》
北大核心
2020年第6期170-172,176,共4页
Machinery Design & Manufacture
基金
河南省自然科学基金资助项目(171100210300)。