  High voltage insulators are widely deployed in power systems to isolate the
live- and dead-part of overhead lines as well as to support the power line
conductors mechanically. Permanent, secure and safe operation of power
transmission lines require that the high voltage insulators are inspected and
monitor, regularly. Severe environment conditions will influence insulator
surface and change creepage distance. Consequently, power utilities and
transmission companies face significant problem in operation due to insulator
damage or contamination. In this study, a new technique is developed for
real-time inspection of insulator and estimating the snow, ice and water over
the insulator surface which can be a potential risk of operation breakdown. To
examine the proposed system, practical experiment is conducted using ceramic
insulator for capturing the images with snow, ice and wet surface conditions.
Gabor and Standard deviation filters are utilized for image feature extraction.
The best achieved recognition accuracy rate was 87% using statistical approach
the Standard deviation.
