Optical Feature Analysis and Diagnosis of Partial Discharge in C4F7N/CO2 Based on Multispectral Array

doi:10.16183/j.cnki.jsjtu.2022.299

Abstract

Abstract:

Optical detection of partial discharge (PD) is an important way to reflect the insulation status of equipment. C₄F₇N/CO₂ gas mixture is one of the most potential substitutes for SF₆ at present, but there is a lack of research on its optical PD characteristics and diagnostic methods. In this paper, a PD multispectral array detection platform that can collect 7 characteristic bands is constructed, and 4 kinds of PD defects are produced. The similarities and differences of the PD multispectral characteristics in phase distribution, energy distribution, and feature stacking map under the conditions of 5 different ratios of C₄F₇N/CO₂ gas mixture and pure SF₆ gas are analyzed. Finally, a novel method of PD diagnosis based on multispectral features (MF) and k-nearest neighbors (KNN) is proposed. The experimental results show that the fault recognition accuracy in pure SF₆ can reach 96.2%. The recognition rate of C₄F₇N/CO₂ gas mixture is above 88%, and the highest accuracy rate is 91.1%. This method has a guiding significance for the PD diagnosis of environmentally friendly gas-insulated equipment, and provides a new route for traditional PD detection and diagnosis.

Key words: C₄F₇N/CO₂, partial discharge (PD), multispectral array, optical detection, pattern recognition

CLC Number:

TM855

LI Ze, QIAN Yong, ZANG Yiming, ZHOU Xiaoli, SHENG Gehao, JIANG Xiuchen. Optical Feature Analysis and Diagnosis of Partial Discharge in C₄F₇N/CO₂ Based on Multispectral Array[J]. Journal of Shanghai Jiao Tong University, 2023, 57(9): 1176-1185.

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References 20

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滤光片	波长/nm	透光率/%
LF0	全波段	全透
LF1	630~1100	>90
LF2	582~593	>85
LF3	510~545	>83
LF4	260~380	>90
LF5	460~500	>90
LF6	400~445	>85

算法	分类准确率/%
算法	4%C₄F₇N	6%C₄F₇N	8%C₄F₇N	10%C₄F₇N	12%C₄F₇N	SF₆
MF-SVM	81.1	83.7	88.5	86.6	87.5	94.4
MF-DT	85.1	83.1	87.7	86.8	88.0	94.8
MF-KNN	90.6	88.7	91.1	89.1	90.0	96.2

Optical Feature Analysis and Diagnosis of Partial Discharge in C₄F₇N/CO₂ Based on Multispectral Array

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