{"title":"Study on SOBI Separation Method for Composite Materials Simulated Damage AE Signals","authors":"Yuan Mei, Yu Liang, Dong Shao-peng, Liang Yu-xuan","doi":"10.1109/IMCCC.2015.247","DOIUrl":null,"url":null,"abstract":"This paper introduces an improved de-noising SOBI (Second Order Blind Identification) separation method, which is used to separate mixed components of different composite materials damage acoustic emission simulated signals. The contrastive analysis and numerical simulations of a variety of blind source separation algorithms are investigated, which suggests that traditional SOBI performance degrades when noise is present. By introducing noise-elimination algorithms, SOBI is improved and optimized. The improvement of separation effect of the de-noising SOBI algorithm is proved by numerical simulation experiments. Finally, based on the online structural damage simulation and monitoring test-bed, the feasibility of the proposed method is validated.","PeriodicalId":438549,"journal":{"name":"2015 Fifth International Conference on Instrumentation and Measurement, Computer, Communication and Control (IMCCC)","volume":"122 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2015-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2015 Fifth International Conference on Instrumentation and Measurement, Computer, Communication and Control (IMCCC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IMCCC.2015.247","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
This paper introduces an improved de-noising SOBI (Second Order Blind Identification) separation method, which is used to separate mixed components of different composite materials damage acoustic emission simulated signals. The contrastive analysis and numerical simulations of a variety of blind source separation algorithms are investigated, which suggests that traditional SOBI performance degrades when noise is present. By introducing noise-elimination algorithms, SOBI is improved and optimized. The improvement of separation effect of the de-noising SOBI algorithm is proved by numerical simulation experiments. Finally, based on the online structural damage simulation and monitoring test-bed, the feasibility of the proposed method is validated.