摘要
对滚动轴承故障信号进行Teager能量谱分析是一种有效的方法,但是Teager能量算子使用对象为单分量信号。根据EMD(Empirical Mode Decomposition)能够自适应地把信号分解成单分量调制信号IMF(Intrinsic Mode Function)的特点,提出了一种基于EMD和Teager能量的故障诊断方法。通过对EMD分解出的与原信号互相关系数最大的分量作Teager能量谱分析进行诊断。分析了滚动轴承故障实验信号,并与信号的直接Teager能量谱作了比较,验证了该方法的有效性。
Teager energy spectrum analysis is an effective method of fault diagnosis for roller bearings,the limitation is that the Teager algorithm should only be applied to single-component signals. The empirical mode decomposition （EMD） method can decompose a signal into intrinsic mode functions （IMF） which are single-component signals. A new fault diagnosis approach of roller bearing based on EMD and Teager energy is presented. It calculates the Teager energy of the high-frequency IMFs derived from EMD and then identify the fault categories through the Frouier transform of the energy signal. The experimental results validated the effectiveness of the proposed method. A comparison was also made with the result of the Teager energy spectrum obtained from the original signal.
出处
《农业装备与车辆工程》
2014年第1期24-27,共4页
Agricultural Equipment & Vehicle Engineering
作者简介
肖森（1988-）,男,山东日照人,硕士研究生,主要从事船舶轴功率、振动测量及船用主机废气排放方向的研究.E-mail：xsen98@163.com
