Akbal, BahadirAydin, Musa2020-03-262020-03-262014978-1-4799-5479-72378-7147https://hdl.handle.net/20.500.12395/307136th International Conference on Electronics, Computers and Artificial Intelligence (ECAI) -- OCT 23-25, 2014 -- Pitesti, ROMANIAIce load causes important faults on electric transmission lines (ETL), and power outages can be seen for days because of ice load. So, ice load effect must be prevented on ETL. One of the effect methods is Joule Effect Method (JEM). In JEM, ETL conductor is heated by current, and ice on conductor is melted. But primarily ice load amount must be determined to determine value of melting current. In this study, the iced conductor thickness was used to determine ice load amount, and image segmentation method was used to determine the iced conductor thickness. Image segmentation of image of iced conductor is difficult because of environmental factor. So, multilevel threshold method was used for image segmentation, and Kapur Method was used as multilevel threshold method. But detecting of optimal threshold levels with traditional Kapur Method is difficult. So, Clonal Selection Algorithm (CSA) was used to detect optimal threshold level.eninfo:eu-repo/semantics/closedAccessIce loadimage segmentationmultilevel thresholdKapur MethodCSACSA-Kapur Method to Determine Ice Load Amount on Electric Transmission Line ConductorsConference ObjectN/AWOS:000380489500039N/A