Research on Partial Discharge Type Diagnosis of Switchgear Based on Multi-Sensor Information Fusion

doi:10.16628/j.cnki.2095-8188.2025.01.004

Abstract

Abstract:

During the operation of the switchgear,the insulation defects may lead to the occurrence of partial discharge.If it can not be found and dealt with measures in time,it will further cause the insulation breakdown failure.In order to effectively diagnose the type of partial discharge,based on the multi-sensor information fusion technology of D-S evidence theory,a scheme combined with BP neural network for the partial discharge pattern recognition is proposed.Experiments show that the accuracy of discharge type recognition with the multi-sensor information fusion is about 13 percentage higher than that of single sensor mode.The overall recognition accuracy is better than 96.08%, which verifies the effectiveness and rationality of the algorithm.

Key words: partial discharge, switchgear, pattern recognition, multi-sensor information fusion

CLC Number:

TM591

LI Gangyi. Research on Partial Discharge Type Diagnosis of Switchgear Based on Multi-Sensor Information Fusion[J]. LOW VOLTAGE APPARATUS, 2025, 0(1): 23-27.

Figures/Tables 6

References 8

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不变矩	尖端放电	悬浮放电	内部放电	沿面放电
M₁	1.335 0	2.887 7	0.667 4	1.638 7
M₂	0.234 7	3.788 4	0.327 0	2.104 7
M₃	0.962 2	2.835 9	0.611 3	3.224 1
M₄	0.114 6	1.008 8	0.605 4	2.977 8
M₅	-0.037 7	1.623 0	0.368 3	7.296 9
M₆	-0.019 9	0.937 6	0.336 4	3.083 4
M₇	-0.015 3	-0.941 2	-0.58×10^-4	0.152 3

样本数	尖端放电	内部放电	悬浮放电	沿面放电
训练集样本数	175	175	175	175
测试集样本数	75	75	75	75

放电类型	PRPD矩特征	PRPD矩特征与统计特征
尖端放电	97.33	98.67
内部放电	98.67	94.67
悬浮放电	96.00	98.67
沿面放电	96.00	97.33

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