Remote Optical Thermography Detection Method and System for Silicone Polymer Insulating Materials Used in Power Industry

被引:22
作者
Liu, Lishuai [1 ]
Mei, Hongwei [1 ]
Guo, Chenjun [1 ,2 ]
Tu, Yanxin [1 ]
Wang, Liming [1 ]
Liu, Jianben [3 ]
机构
[1] Tsinghua Univ, Shenzhen Int Grad Sch, Inst Adv Technol Power & Elect Engn, Shenzhen 518055, Peoples R China
[2] Yunnan Power Grid Co Ltd, Elect Power Res Inst, Kunming 650217, Yunnan, Peoples R China
[3] China Elect Power Res Inst, State Key Lab Power Grid Environm Protect, Wuhan 430074, Peoples R China
基金
中国国家自然科学基金;
关键词
Optical imaging; Image sequences; Integrated optics; Optical variables measurement; Optical polymers; Safety; Fast Fourier transform (FFT); independent component analysis (ICA); nondestructive testing; optical thermography; partial least-squares regression (PLSR); principal component analysis; remote detection; silicone polymer insulating materials; PULSED THERMOGRAPHY;
D O I
10.1109/TIM.2019.2959855
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
Live detection of composite insulating materials in electrical equipment is highly demanded for the reliability and safety of the power system. This article proposes a remote optical thermography detection method and system for detecting defects in silicone polymer materials with the advantages of quick and simple operation, safety, visual results, and automatic remote measurement. First, the remote optical thermography detection system was established. Then, silicone polymer insulating materials with typical defects were tested by the proposed system at a long distance of 5 m. Images sequence processing techniques, including fast Fourier transform, principal component analysis, independent component analysis, and partial least-squares regression, were used to enhance defect contrast and reduce background noises. The experiment results have shown that defects with the size of 2 mm in silicone polymer insulating materials can be accurately detected at a long distance of 5 m by the proposed system. Finally, the performance of these adopted processing techniques in remote detection was quantitatively evaluated by two metrics, contrast and signal-to-noise ratio, to provide a reference for industrial applications of thermography detection at a long distance.
引用
收藏
页码:5782 / 5790
页数:9
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[31]  
Zhang Z., IEEE T INSTRUM MEAS