{"title":"一种基于匹配追踪的信号周期冲击分量提取方法","authors":"Guozhen Wang, Wei-hua Niu, Jianping Zhao","doi":"10.1109/icisfall51598.2021.9627367","DOIUrl":null,"url":null,"abstract":"Aiming at the problem that the periodic impact component extraction is difficult under the random impact interference in the actual vibration signal, a method of extracting the periodic impact component of the signal based on improved matching pursuit is proposed. The method proposed in this paper constructs the periodic impact atomic library, and the segmentation inner product method based on statistical improvement is used. The proposed method can effectively extract the periodic impact component of rotating machinery under random impact, and eliminate the impact of random impact. The simulation results show that the proposed method can effectively extract the periodic impact components in the signal under random impact interference, which proves the effectiveness and engineering practicability of the method.","PeriodicalId":240142,"journal":{"name":"2021 IEEE/ACIS 20th International Fall Conference on Computer and Information Science (ICIS Fall)","volume":"120 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-10-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"A Signal Periodic Impact Component Extraction Method Based on Matching Pursuit\",\"authors\":\"Guozhen Wang, Wei-hua Niu, Jianping Zhao\",\"doi\":\"10.1109/icisfall51598.2021.9627367\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Aiming at the problem that the periodic impact component extraction is difficult under the random impact interference in the actual vibration signal, a method of extracting the periodic impact component of the signal based on improved matching pursuit is proposed. The method proposed in this paper constructs the periodic impact atomic library, and the segmentation inner product method based on statistical improvement is used. The proposed method can effectively extract the periodic impact component of rotating machinery under random impact, and eliminate the impact of random impact. The simulation results show that the proposed method can effectively extract the periodic impact components in the signal under random impact interference, which proves the effectiveness and engineering practicability of the method.\",\"PeriodicalId\":240142,\"journal\":{\"name\":\"2021 IEEE/ACIS 20th International Fall Conference on Computer and Information Science (ICIS Fall)\",\"volume\":\"120 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2021-10-13\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2021 IEEE/ACIS 20th International Fall Conference on Computer and Information Science (ICIS Fall)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/icisfall51598.2021.9627367\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2021 IEEE/ACIS 20th International Fall Conference on Computer and Information Science (ICIS Fall)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/icisfall51598.2021.9627367","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A Signal Periodic Impact Component Extraction Method Based on Matching Pursuit
Aiming at the problem that the periodic impact component extraction is difficult under the random impact interference in the actual vibration signal, a method of extracting the periodic impact component of the signal based on improved matching pursuit is proposed. The method proposed in this paper constructs the periodic impact atomic library, and the segmentation inner product method based on statistical improvement is used. The proposed method can effectively extract the periodic impact component of rotating machinery under random impact, and eliminate the impact of random impact. The simulation results show that the proposed method can effectively extract the periodic impact components in the signal under random impact interference, which proves the effectiveness and engineering practicability of the method.