The aim of this study is to propose simple and reliable techniques to assess the condition of metal oxide arrester based on the dielectric response techniques. A number of modern electrical diagnostics for Metal Oxide Surge Arrester (MOSA) are discussed in this paper. The techniques included return voltage, decay voltage and polarisation/depolarisation current measurement. The single and multip...

Manual analysis of thermal image for detecting defects and classifying of condition of surge arrester take a long time. Artificial neural network is good tool for predict and classify data. This study applied neural network for classify the degree of degradation of surge arrester. Thermal image as input of neural network was segmented using Otsu’s segmentation and histogram method to get featur...

This paper addresses different issues regarding the lightning back-flashover performance of HVDC lines, especially double-circuit configurations. In such configurations, two poles may present very similar flashover risks due to a strike, leading double flashover. Therefore, it is particular interest investigate solutions protect at least one circuit from flashovers and avoid temporary loss tran...

The paper aims to analyze the parameters of prototypes new overvoltage protection devices for power grids—a multi-chamber insulator arrester (MCA) and a long flashover (LFA). article presents research results on determining actual MCA LFA impact characteristics. Moreover, were compared assess effectiveness devices. presented in this will supplement missing information about They make it possibl...