Pipeline abnormal classification based on support vector machine using FBG hoop strain sensor | |
Jia, Ziguang; Wu, Wenlin; Ren, Liang; Li, Hongnan; Wang, Zhenyu | |
刊名 | OPTIK
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2018 | |
卷号 | 170页码:328-338 |
关键词 | FBG hoop strain sensor Support vector machine Abnormal classification Pipeline experimental study Cross validation |
ISSN号 | 0030-4026 |
URL标识 | 查看原文 |
WOS记录号 | [DB:DC_IDENTIFIER_WOSID] |
内容类型 | 期刊论文 |
URI标识 | http://www.corc.org.cn/handle/1471x/3260446 |
专题 | 大连理工大学 |
作者单位 | 1.Dalian Univ Technol, Sch Ocean Sci & Technol, Panjin 124221, Liaoning, Peoples R China. 2.Dalian Univ Technol, Fac Infrastruct Engn, Dalian 116024, Liaoning, Peoples R China. 3.Dalian Univ Technol, Fac Infrastruct Engn, Dalian 116024, Liaoning, Peoples R China. 4.Shenyang Jianzhu Univ, Sch Civil Engn, Shenyang 110168, Liaoning, Peoples R China. |
推荐引用方式 GB/T 7714 | Jia, Ziguang,Wu, Wenlin,Ren, Liang,et al. Pipeline abnormal classification based on support vector machine using FBG hoop strain sensor[J]. OPTIK,2018,170:328-338. |
APA | Jia, Ziguang,Wu, Wenlin,Ren, Liang,Li, Hongnan,&Wang, Zhenyu.(2018).Pipeline abnormal classification based on support vector machine using FBG hoop strain sensor.OPTIK,170,328-338. |
MLA | Jia, Ziguang,et al."Pipeline abnormal classification based on support vector machine using FBG hoop strain sensor".OPTIK 170(2018):328-338. |
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