Weigang Zhao , Shunli Jiang , Haoran Li , Xiangtian Gong , Yaodong Qi , Jiaqi Liang , Yechu Tian
{"title":"Low signal-to-noise ratio acoustic emission signal arrival time identification method based on fractal dimension ratio and AR-AIC combined algorithm","authors":"Weigang Zhao , Shunli Jiang , Haoran Li , Xiangtian Gong , Yaodong Qi , Jiaqi Liang , Yechu Tian","doi":"10.1016/j.ultras.2025.107740","DOIUrl":null,"url":null,"abstract":"<div><div>To enhance the accuracy of acoustic emission (AE) signal arrival time identification in low signal-to-noise ratio environments, this study introduces a method integrating the fractal dimension ratio and AR-AIC algorithm. The fractal dimension ratio is employed to estimate the potential arrival time range, while AR-AIC further refines the estimation to determine the precise arrival time. Pencil lead break (PLB) experiments were conducted on concrete specimens to evaluate the proposed method under various conditions, including high and low signal-to-noise ratios, indistinct arrivals, and low-amplitude signals. A comprehensive comparison with traditional threshold, STA/LTA, and AR-AIC algorithms was performed, along with an assessment of localization accuracy. Experimental results indicate that the proposed approach effectively mitigates the influence of signal-to-noise ratio and amplitude on arrival time identification. Compared to conventional methods, the localization error was reduced by 47%, 23%, and 17%, respectively. These findings demonstrate the effectiveness of the proposed method in enhancing AE signal arrival time identification and source localization in complex environments.</div></div>","PeriodicalId":23522,"journal":{"name":"Ultrasonics","volume":"155 ","pages":"Article 107740"},"PeriodicalIF":3.8000,"publicationDate":"2025-06-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Ultrasonics","FirstCategoryId":"101","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0041624X25001775","RegionNum":2,"RegionCategory":"物理与天体物理","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ACOUSTICS","Score":null,"Total":0}
引用次数: 0
Abstract
To enhance the accuracy of acoustic emission (AE) signal arrival time identification in low signal-to-noise ratio environments, this study introduces a method integrating the fractal dimension ratio and AR-AIC algorithm. The fractal dimension ratio is employed to estimate the potential arrival time range, while AR-AIC further refines the estimation to determine the precise arrival time. Pencil lead break (PLB) experiments were conducted on concrete specimens to evaluate the proposed method under various conditions, including high and low signal-to-noise ratios, indistinct arrivals, and low-amplitude signals. A comprehensive comparison with traditional threshold, STA/LTA, and AR-AIC algorithms was performed, along with an assessment of localization accuracy. Experimental results indicate that the proposed approach effectively mitigates the influence of signal-to-noise ratio and amplitude on arrival time identification. Compared to conventional methods, the localization error was reduced by 47%, 23%, and 17%, respectively. These findings demonstrate the effectiveness of the proposed method in enhancing AE signal arrival time identification and source localization in complex environments.
期刊介绍:
Ultrasonics is the only internationally established journal which covers the entire field of ultrasound research and technology and all its many applications. Ultrasonics contains a variety of sections to keep readers fully informed and up-to-date on the whole spectrum of research and development throughout the world. Ultrasonics publishes papers of exceptional quality and of relevance to both academia and industry. Manuscripts in which ultrasonics is a central issue and not simply an incidental tool or minor issue, are welcomed.
As well as top quality original research papers and review articles by world renowned experts, Ultrasonics also regularly features short communications, a calendar of forthcoming events and special issues dedicated to topical subjects.