{"title":"An elimination method for transient high frequency oscillation signal","authors":"Zhang Jianhai, Li Lianzhou, Zou Jin, Yang Yue","doi":"10.1109/CGNCC.2016.7828777","DOIUrl":null,"url":null,"abstract":"In order to eliminate the transient high frequency oscillation signal which contained in the rocket vibration signal, and extract feature frequency, the paper proposed a novel method which bases on ensemble empirical mode decomposition and correlation coefficient test. First, the vibration signal is decomposed by Ensemble empirical mode decomposition (EEMD), and a series of intrinsic mode functions (IMF) are obtained. Then, the correlation coefficient between the IMF components and the original signal is calculated, and the effective IMF components are identified by the correlation coefficient significance test. In the end, Hilbert transform (HT) method is used to analyze the effective IMF components, and the purpose of extracting the feature frequency is achieved. The extract results of simulation signal and rocket vibration signal show that this method is feasible and effective.","PeriodicalId":426650,"journal":{"name":"2016 IEEE Chinese Guidance, Navigation and Control Conference (CGNCC)","volume":"91 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2016-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2016 IEEE Chinese Guidance, Navigation and Control Conference (CGNCC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CGNCC.2016.7828777","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
In order to eliminate the transient high frequency oscillation signal which contained in the rocket vibration signal, and extract feature frequency, the paper proposed a novel method which bases on ensemble empirical mode decomposition and correlation coefficient test. First, the vibration signal is decomposed by Ensemble empirical mode decomposition (EEMD), and a series of intrinsic mode functions (IMF) are obtained. Then, the correlation coefficient between the IMF components and the original signal is calculated, and the effective IMF components are identified by the correlation coefficient significance test. In the end, Hilbert transform (HT) method is used to analyze the effective IMF components, and the purpose of extracting the feature frequency is achieved. The extract results of simulation signal and rocket vibration signal show that this method is feasible and effective.