ORHAN YAMAN, EBRU KARAKÖSE, İLHAN AYDIN, MEHMET KARAKÖSE, ERHAN AKIN

Pantograf-katener sistemler için bulanık mantık tabanlı belirlenen pantograf modeli kullanılarak ark tespiti yaklaşımı

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 vardır. Elektrikli trenlerde kullanılan en önemli bileşenlerden biri pantograf katener sistemidir. Pantograf katener sistemi, demiryolu hattı boyunca bulunan katener sistemi ve lokomotif üzerinde bulunan pantograf sisteminden oluşmaktadır. Lokomotifin ihtiyaç duyduğu elektrik enerjisi pantograf üst bölgesi ile katener telinin teması sonucunda sağlanmaktadır. Temas sırasında birçok nedenden dolayı arklar oluşmaktadır. Oluşan arklar elektrik enerjisinin sağlıklı aktarılmasını engellemektedir. Lokomotifin sağlıklı bir şekilde çalışabilmesi için elektrik enerjisinin sürekli alınabilmesi gerekmektedir. Bu nedenle pantograf katener sistemi elektrikli trenler için oldukça kritik bileşenlerdir. Bu çalışmada, pantograf katener sistemi için model ve ark tespiti için yeni bir yöntem önerilmektedir. Görüntü işleme ve bulanık mantık tabanlı bu yöntemde, birçok farklı türde pantograf sisteminin görüntüsü kullanılmıştır. Kullanılan görüntüler üzerinde Canny kenar çıkarımı yapıldıktan sonra Hough dönüşümü ile doğrular elde edilmektedir. Elde edilen doğruların bazı özellikleri bulanık mantığın giriş verileri olarak kullanılmaktadır. Bulanık mantık sonucunda pantograf sisteminin modeli tespit edilmektedir. Tespit edilen pantograf modeli kullanılarak pantograf temas bölgesinde oluşan arklar tespit edilmektedir.

Arc detection approach using fuzzy logic based pantograph model for pantographcatenary systems

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.

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