Enhancement by Spark Discharge in LIBS Detection of Copper Particle Contamination in Oil-Immersed Transformer

被引：4

作者：

Ye, Zhe ^{[1
]}

Ke, Wei ^{[1
]}

Wang, Wanting ^{[2
]}

Yuan, Huan ^{[1
]}

Wang, Xiaonan ^{[1
]}

Wang, Xiaohua ^{[1
]}

Liu, Dingxin ^{[1
]}

Yang, Aijun ^{[1
]}

Rong, Mingzhe ^{[1
]}

机构：

[1] Xi An Jiao Tong Univ, State Key Lab Elect Insulat & Power Equipment, Xian 710049, Peoples R China

[2] Hangzhou Elect Power Equipment Mfg Co Ltd, Linan Hengxin Complete Elect Mfg Branch, Hangzhou 311301, Peoples R China

来源：

IEEE TRANSACTIONS ON DIELECTRICS AND ELECTRICAL INSULATION | 2022年 / 29卷 / 05期

基金：

中国博士后科学基金; 中国国家自然科学基金;

关键词：

Copper particle; enhancement; laser-induced breakdown spectroscopy (LIBS); spark discharge; INDUCED BREAKDOWN SPECTROSCOPY; LASER-INDUCED PLASMA; ABLATION; METALS;

D O I：

10.1109/TDEI.2022.3198757

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

The detection of copper particles in transformer oil based on laser-induced breakdown spectroscopy (LIBS) technology has been preliminarily studied, but its limit of detection (LOD) needs to be further strengthened. Therefore, spark-discharge assistant method was used to solve the problem, and its enhancement mechanism has been studied in the research. The study of the correlation between spark-discharge-assisted LIBS (SD-LIBS) spectral intensity and Cu concentration shows that spark discharge has a significant increase in plasma size and spectral intensity; for Cu atomic lines at 324.75 and 327.39 nm, the determination coefficient R-2 between their internal standard correction intensity and Cu concentration is promoted to 0.996 and 0.997, respectively; spark-discharge assistant method improves the LOD of LIBS from 0.775 to 0.112 mu g/g. Due to the great improvement in detection performance, the application prospect of LIBS as fine particles detection method in transformer oil has become practical.

引用

页码：2034 / 2041

页数：8

共 6 条

[1] Copper particle contamination detection of oil-immersed transformer using laser-induced breakdown spectroscopy
Ye, Zhe
Zhu, Zhenghao
Ma, Ning
Wang, Xiaohua
Liu, Dingxin
Yang, Aijun
Yuan, Huan
Rong, Mingzhe
SPECTROCHIMICA ACTA PART B-ATOMIC SPECTROSCOPY, 2020, 167 (167)
[2] Study of Spark Discharge Assisted to Enhancement of Laser-Induced Breakdown Spectroscopic Detection for Metal Materials
Liu, Ping
Liu, Jiamin
Wu, Ding
Sun, Liying
Hai, Ran
Ding, Hongbin
PLASMA CHEMISTRY AND PLASMA PROCESSING, 2018, 38 (04) : 803 - 816
[3] Study on spark discharge enhanced laser-induced breakdown spectroscopy of Fe particles in transformer oil
Yuan, Huan
Ye, Zhe
Wang, Xiaohua
Liu, Dingxin
Yang, Aijun
Rong, Mingzhe
JOURNAL OF ANALYTICAL ATOMIC SPECTROMETRY, 2022, 37 (02) : 381 - 389
[4] Study of Spark Discharge Assisted to Enhancement of Laser-Induced Breakdown Spectroscopic Detection for Metal Materials
Ping Liu
Jiamin Liu
Ding Wu
Liying Sun
Ran Hai
Hongbin Ding
Plasma Chemistry and Plasma Processing, 2018, 38 : 803 - 816
[5] Construction of ultra-fast hydrogen sensor for dissolved gas detection in oil-immersed transformers based on titanium dioxide quantum dots modified tin dioxide nanosheets
Wang, Zijian
Zhang, Dongzhi
Tang, Mingcong
Chen, Qingdong
Zhang, Hao
Shao, Xingyan
SENSORS AND ACTUATORS B-CHEMICAL, 2023, 393
[6] Partial discharge behaviour due to irregular-shaped copper particles in transformer oil with a different moisture content of pressboard barrier under uniform field
Rahman, Muhammed Faisal
Nirgude, Pradeep
IET GENERATION TRANSMISSION & DISTRIBUTION, 2019, 13 (24) : 5550 - 5560

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