[1]余移山,陆继东,董美蓉,等.T91金属管道表面特性对LIBS测量的影响[J].应用科技,2020,47(4):82-87.[doi:10.11991/yykj.202001002]
　YU Yishan,LU Jidong,DONG Meirong,et al.Study on the influence of surface characteristics of T91 metal pipeline on laser-induced breakdown spectroscopy measurement[J].Applied science and technology,2020,47(4):82-87.[doi:10.11991/yykj.202001002]
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T91金属管道表面特性对LIBS测量的影响(/HTML)
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《应用科技》[ISSN:1009-671X/CN:23-1191/U]

卷:
第47卷
期数:
2020年4期
页码:
82-87
栏目:
动力与能源工程
出版日期:
2020-07-05

文章信息/Info

Title:
Study on the influence of surface characteristics of T91 metal pipeline on laser-induced breakdown spectroscopy measurement
作者:
余移山;  陆继东;  董美蓉;  陆盛资;  黄健伟;  张勇升
华南理工大学 电力学院，广东 广州 510640
Author(s):
YU Yishan;  LU Jidong;  DONG Meirong;  LU Shengzi;  HUANG Jianwei;  ZHANG Yongsheng
School of Electric Power , South China University of Technology, Guangzhou 510640, China
关键词:
激光诱导击穿光谱; 表面特性; 火电厂; 金属管道; 失效检测; 光谱分析; 机器学习; 支持向量机
Keywords:
laser-induced breakdown spectroscopy; surface characteristic; heat-engine plant; metal pipeline; failure detection; spectral analysis; machine learning; support vector machines
分类号:
O657.38
DOI:
10.11991/yykj.202001002
文献标志码:
A
摘要:
为了将激光诱导击穿光谱(laser-induced breakdown spectroscopy，LIBS)技术应用到火电厂运行的高温承压管道的失效检测中，对来自火电厂的4个不同老化等级的T91钢管道样品表面采用打磨与未处理2种处理方法，对比光谱与其作为预测集在老化等级模型中的表现。分析数据表明：打磨与未处理样品的代表性元素的谱线强度变化在前100的激光脉冲段有较大的差异；而在100~200的激光脉冲段打磨与未打磨的光谱强度趋于接近。在支持向量机(support vector machines, SVM)老化等级模型中，选取未打磨样品的激光脉冲段100~200的光谱数据输入SVM老化等级模型进行预测，得到了与打磨样品同样良好的预测结果，所有预测样品的准确率均达到了0.91以上。结果表明：选取合适的激光脉冲段，可以避免实际金属管道的表面特性对LIBS测量的影响，得到良好的老化等级预测结果。
Abstract:
In order to apply the laser-induced breakdown spectroscopy(LIBS) technology to the failure detection of high temperature pressure pipelines in the operation of thermal power plants, the surface of four T91 steel tube samples with different aging grades from thermal power plant was treated by grinding and untreated methods. The analysis data showed that the spectral line strength of the representative elements of polished and untreated samples was significantly different in the first 100 laser pulse segments, while the spectral strength of polished and untreated elements tended to be close in the first 100 to 200 laser pulse segments. In the SVM aging rating model, the spectral data from 100 to 200 laser pulse segments of unpolished samples were selected and input into the SVM aging rating model for prediction. The prediction results were as good as those of the polished samples, and the accuracy of all the predicted samples reached above 0.91. The results show that choosing appropriate laser pulse segment can avoid the influence of the surface characteristics of actual metal pipelines on the LIBS measurement, and obtain a better prediction result of aging grade.

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备注/Memo

备注/Memo:
收稿日期:2020-01-03。
基金项目:广东省自然科学基金项目(2017B030311009)
作者简介:余移山，男，硕士研究生;陆继东，男，教授，博士生导师
通讯作者:陆继东，E-mail：jdlu@scut.edu.cn
更新日期/Last Update: 2020-11-27