噪声与振动控制Issue(1)：168-172,5.DOI:10.3969/j.issn.1006-1335.2016.01.036
匹配追踪过程复合熵矩转子故障诊断
Research on Rotor Fault Diagnosis Using Matching Pursuit Decomposition and Composite Entropy Moments
李会龙 1崔宝珍1
作者信息
- 1. 中北大学 机械与动力工程学院，太原 030051
- 折叠
摘要
Abstract
As the core components of large machinery, the rotors have complex working environments and conditions. Their fault types are various and their vibration signals contain lots of noises. So, the characteristic vectors of the signals may not be extracted readily and effectively. In this paper, the method of matching pursuit decomposition was used to reduce the noise of the signals. The signal singular spectrum entropy and power spectrum entropy were extracted as the fault feature. The concept of composite entropy moment was put forward. Finally, the mean value and the square root difference of the composite entropy moments were used to realize the diagnosis and identification of the rotor’s faults. The effective fault signals of four kinds of rotors were simulated and acquired on the test rig. As an example, the imbalance fault was used as a target fault to verify the validity of this method. The results show that the method is effective and practical for fault identification.关键词
振动与波/转子/匹配追踪/奇异值熵/功率谱熵/复合熵差矩Key words
vibration and wave/rotor/matching pursuit/singular spectrum entropy/power spectrum entropy/composite entropy matrix分类
机械制造引用本文复制引用
李会龙,崔宝珍..匹配追踪过程复合熵矩转子故障诊断[J].噪声与振动控制,2016,(1):168-172,5.
