Cluster Classification of Partial Discharges in Oil-impregnated Paper Insulation

Abstract

Recognition of multiple partial discharge (PD) sources in high voltage equipment has been a challenging task until now. The work reported here, aims to recognize multiple PD sources in oil-impregnated paper using Cluster Analysis (CA) and Fuzzy Logic (FL). The typical sources of PD in transformer are identified and the corresponding single source PD defect laboratory models are fabricated. From the measured PD signals, the necessary statistical parameters are extracted by applying CA for classification. A Fuzzy based algorithm has been developed to recognize single source PDs. The developed algorithm has also been applied to recognize multiple PD sources

Comprehensive Evaluation and Application of GIS Insulation Condition Part 1: Selection and Optimization of Insulation Condition Comprehensive Evaluation Index Based on Multi-Source Information Fusion

“…It has become the most effective feature information basis for the internal insulation condition evaluation of GIS equipment, coupled with the great progress and wide application of PD monitoring technology, which provides richer and more reliable characteristic data information for the insulation condition evaluation. Therefore, it is generally believed that the multiple physical characteristics quantities accompanying PD can be used as core indicators for evaluating the GIS insulation condition [6][7][8][9][10][11]. Furthermore, if only considering the inherent physical characteristics such as the insulation characteristic parameters of the SF 6 gas, and the difference information of operating environment conditions, running time, overhaul times and residual value of equipment, it is difficult to comprehensively and scientifically evaluate the GIS internal insulation condition without the universal technical and economic comparison considered.…”

“…fixed assets. The calculation of the two indicators are as (10)-(11) follows: Annual depreciation rate = Predicted net salvage rate)Depreciation years(10) Net surplus Original value of fixed assets…”

Influences of Traction Load Shock on Artificial Partial Discharge Faults within Traction Transformer—Experimental Test for Pattern Recognition

“…• Cavity discharge (partial discharge in spherical cavities or gaps within a solid dielectric material) within insulation papers or pressboards [13][14][15][16][17][18][19][20][21], • Surface discharge in oil [13][14][15][16], • PD due to floating particles in oil [17,22], • Air bubble discharge in oil [14,17,22,23], • PD due to bad grounding (metal-to-metal discharge) [13], and • Oil wedge or metal protrusions caused PD in pure oil [13,22,[24][25][26][27].…”