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基于激光诱导击穿光谱的瞬态温度测量方法

廖文龙 李哲 杨玥坪 唐博 魏文赋

电力工程技术2024,Vol.43Issue(4):202-207,6.
电力工程技术2024,Vol.43Issue(4):202-207,6.DOI:10.12158/j.2096-3203.2024.04.021

基于激光诱导击穿光谱的瞬态温度测量方法

Transient temperature measurement based on laser-induced breakdown spectroscopy

廖文龙 1李哲 2杨玥坪 1唐博 2魏文赋2

作者信息

  • 1. 国网四川省电力公司电力科学研究院,四川成都 610041
  • 2. 西南交通大学电气工程学院,四川成都 611756
  • 折叠

摘要

Abstract

Temperature plays a crucial role in influencing the mechanical properties of materials.Accurately measuring the temperature of devices is essential for understanding the evolution of their mechanical properties under stress and evaluating their health and lifespan.However,traditional methods encounter challenges in measuring transient temperatures and lack sufficient time-resolution capability,particularly when it comes to the rapid temperature changes at the solder interface during the switching process of power devices.In this paper,based on the close correlation between the intensities of the characteristic spectral lines of the laser-induced elements and the temperatures,a method of measuring the surface temperatures with the time-resolved capability of the order of microsecond is proposed,and a quantitative relationship between the surface temperatures of the sample and the spectral characteristics is established.The findings demonstrate that an increase in the surface temperature of the material results in enhanced intensity and signal-to-noise ratio of laser-induced plasma spectra.This enhancement is influenced by the spectral acquisition delay and gate width.To establish a quantitative relationship between surface temperature and spectral properties,back propagation-artificial neural network(BP-ANN)and partial least squares(PLS)are employed for fitting and calibration.The fitted models can achieve linear correlation coefficient indexes exceeding 0.99.Notably,the BP-ANN fitted model exhibites a small fitting bias,with a root mean squared error(RMSE)of 2.582 and a correctness rate of 98.3%.The method provides an effective means for transient temperature measurement of objects and gives a strong support for the assessment of the health status of the soldering interface of power devices.

关键词

激光诱导击穿光谱/温度测量/主成分分析/时间分辨/偏最小二乘(PLS)/反向传播-人工神经网络(BP-ANN)

Key words

Laser-induced breakdown spectroscopy/temperature measurement/principal component analysis/time resolution/partial least squares(PLS)/back propagation-artificial neural network(BP-ANN)

分类

信息技术与安全科学

引用本文复制引用

廖文龙,李哲,杨玥坪,唐博,魏文赋..基于激光诱导击穿光谱的瞬态温度测量方法[J].电力工程技术,2024,43(4):202-207,6.

基金项目

国家自然科学基金资助项目(52077182) (52077182)

电力工程技术

OA北大核心CSTPCD

2096-3203

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