标题:Acoustic emission source localization technique based on least squares support vector machine by using FBG sensors
作者:Jiang, Mingshun; Lu, Shizeng; Sai, Yaozhang; Sui, Qingmei; Jia, Lei
作者机构:[Jiang, Mingshun; Lu, Shizeng; Sai, Yaozhang; Sui, Qingmei; Jia, Lei] Shandong Univ, Sch Control Sci & Engn, Jinan 250100, Peoples R China.
通讯作者:Jiang, Mingshun
通讯作者地址:[Jiang, MS]Shandong Univ, Sch Control Sci & Engn, Jinan 250100, Peoples R China.
来源:JOURNAL OF MODERN OPTICS
出版年:2014
卷:61
期:20
页码:1634-1640
DOI:10.1080/09500340.2014.948511
关键词:least squares support vector machine; source localization; wavelet; transform; acoustic emission; cross-correlation analysis; fiber Bragg; grating
摘要:An intelligent acoustic emission (AE) source localization technique by using fiber Bragg grating (FBG) sensors was investigated. Four FBGs sensing network was established for detecting the AE signal. And power intensity demodulation method was initialized employing narrow-band tunable laser. The intelligent AE source localization method was proposed based on wavelet transform, cross-correlation analysis, and least squares support vector machines (LS-SVM). LS-SVM modal's input is signal time difference and output is AE source position. The location experiments were carried out on a 500mmx500mmx2mm aluminum alloy plate. The results showed that the AE source position abscissa and ordinate localization errors are all less than 10mm. The maximum and average localization errors are 8.65 and 6.78mm, respectively. The research results provided a novel method for AE source localization by using FBG sensors.
收录类别:EI;SCOPUS;SCIE
WOS核心被引频次:4
Scopus被引频次:6
资源类型:期刊论文
原文链接:https://www.scopus.com/inward/record.uri?eid=2-s2.0-84907861951&doi=10.1080%2f09500340.2014.948511&partnerID=40&md5=a316bac95c656343f33cf7eb4f751841
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