MONITORING FLASHOVER USING IMAGE PROCESSING
Insulator flashover under pollution is one of the most important problems for power transmission. Occurrence of flashover is preceded by discharges propagation.
To monitor discharges activity through arcing discharges pattern recognition
using a combination of efficient image processing and classification
algorithms. Images are extracted from recorded videos of flashover process over
a plane model insulator under various contamination levels.
An algorithm
is proposed and tested over a large image database. This algorithm processes in
four stages.
1. Otsu image segmentation algorithm is initially applied on
images.
2. Morphological filtering by combining erosion and dilation
operations is computed to eliminate unwanted noises such as light reflections
on the insulator model.
FOR 2015 IEEE PAPER ON ANALYZE DISCHARGE AND MONITOR FLASHOVER CLICK BELOW LINK
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