基于匹配追踪的特征频率提取算法及其应用

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Abstract Aiming at the problem of purifying axis orbit of a large rotor system test rig, a new method for extracting feature frequency and synthesizing axis orbit was proposed based on the matching pursuit (MP) algorithm. Sparse decomposition of signals in the method was realized with MP algorithm. The dictionary set was constructed using the sine wave model, and an over-complete dictionary library was constructed by stretching and translating sinusoidal waves. Extracting single feature frequency or multiple ones was realized with this method. This method was applied to purify axis orbit of a large rotor system, and the results were compared with those using PCA algorithm, the harmonic wavelet one and the wavelet packet one, respectively. Results showed that axis orbits purified with MP algorithm are much clearer.

Key words： fault diagnosis axis orbit MP feature extraction signal analysis

Received: 25 April 2018 Published: 28 September 2019

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	Articles by authors
	LI Zhen
	LI Weiguang
	CHEN Hui
	LIN Xin

Cite this article:

LI Zhen,LI Weiguang,CHEN Hui, et al. Feature frequency extraction algorithm based on MP and its application[J]. JOURNAL OF VIBRATION AND SHOCK, 2019, 38(19): 7-13.

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http://jvs.sjtu.edu.cn/EN/ OR http://jvs.sjtu.edu.cn/EN/Y2019/V38/I19/7

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