摘要
针对电动机的滚动轴承故障问题,提出了基于EEMD和Teager能量算子解调的诊断新方法。首先利用EEMD算法对轴承故障信号进行分解,可以得到多个单分量信号,然后利用Teager能量算子解调方法对单分量信号进行包络解调运算,得到包络信号后计算出包络谱,并将轴承故障特征频率理论计算值与包络谱中峰值明显的谱线进行对比,从而对故障类型做出判断。通过对实验台模拟的滚动轴承内圈、外圈故障信号进行分析,验证了该方法的可靠性和工程实用性。
Proposed a new method on fault diagnosis for motor rolling bearings based on EEMD and Teager energy operator demodulation. Firstly, used EEMD to decompose the bearing fault signals, then several single-component signals were obtained. In order to get the envelope signals of single-component signals, analyzed the single-compo- nent signals by Teager energy operator demodulation method. Calculated the envelope spectrum and judged the fault type of rolling bearings by comparing the theoretical calculations of bearing fault characteristic frequency and spectral lines whose amplitude were obvious in envelope spectrum. In the end, analyzed the inner ring and outer ring fault signal of rolling bearings which were simulated by experimental platform, and the reliability and engineering practicability of this method were verified.
出处
《电力科学与工程》
2013年第3期18-22,共5页
Electric Power Science and Engineering
关键词
EEMD
能量算子解调
电机轴承
故障诊断
EEMD
energy operator demodulation
motor bearings
fault diagnosis
