摘要：Electric trains are now widely used, is an important transport modes. Compared with other types of transportation, the effect of an electric train power consumption and environmental pollution are less. There are also many advantages such as comfort and safety. One of the most important tools used in the electric train is pantograph catenary system. Pantograph catenary system consists of two parts. a catenary system along the railway line and the pantograph system consists placed on the locomotive. The locomotive’s electrical energy needs are provided as a result of contact with the upper region of the pantograph and catenary wire. Arcs can occur for many reasons during the contact. The arcing in the electrical energy in a healthy way hinders the transfer. Locomotive must be received continuous electrical energy to function in a healthy way. Therefore, the pantograph catenary system are quite critical components for electric railway. In this study, a new method to model and arc detection for pantograph catenary system is proposed. In this image processing and fuzzy logic based method, images of many different types of pantograph system are used. After Canny edge extraction on the images, the lines are obtained by the Hough transform. Some properties of the obtained lines are used as input data to fuzzy logic. Model of the pantograph system is determined as a result of fuzzy logic. The arcing at the contacts of the pantograph is determined using the pantograph model.
其他摘要：Elektrikli trenler, günümüzde yaygın olarak kullanılan, önemli bir ulaşım türüdür. Diğer ulaşım türleri ile karşılaştırıldığında elektrikli trenlerin güç tüketimi ve çevre kirliliğine olan etkisi daha azdır. Ayrıca konfor ve güvenlik gibi birçok avantajı
关键词：Pantograph-catenary system;Pantograph model detection;Pantograph arc detection;image processing;fuzzy logic
其他关键词：Pantograf-Katener sistemi;Pantograf model tespiti;Pantograf ark tespiti;görüntü işleme;bulanık mantık
