2 research outputs found
Pantograf katener sistemlerde görüntü işleme ve model tabanlı ark tespiti
Pantograf katener sistemi, elektrikli trenin
ihtiyaç duyduğu elektrik enerjisini trafo merkezinden trene
iletilmesini sağlamaktadır. Bu işlemin kesintisiz bir şekilde
gerçekleştirilmesi için pantograf katener sistemler oldukça
önemlidir. Bu çalışmada, pantograf katener sistemi için
görüntü işleme ve model tabanlı yeni bir ark tespit yöntemi
önerilmektedir. Görüntü işleme yöntemleri kullanılarak
videodan alınan bir görüntü çerçevesinde oluşan arklar
tespit edilmektedir. Bir dizi görüntüden elde edilen veriler
ark modellemesinde kullanılmıştır. Bu modelleme sonucunda
pantograf katener sistemin, normal ve ark oluşmuş
durumlarına ait akım ve gerilim sinyalleri elde edilmektedir.
Elde edilen akım gerilim sinyallerinde normal ve ark
oluşmuş durumlar incelenmiştir. Akım, gerilim sinyalleri
kullanılarak S dönüşümü yapılmıştır. S dönüşümü ile
sinyallerin frekans zaman analizi yapılmaktadır.A pantograph-catenary system transmits the
electric energy that an electrified train needs from electric
power substation to train. Pantograph catenary system is
extremely important in order to carry out continuous of the
transmission. In this study, a model and image processing
based arc detection system is proposed. Arcs occurred in a
video frame are detected by using image processing
techniques. Data obtained from a sequence of frames are
used to model the arc. Arcs occurred in image sequences are
modelled during modeling stage. As consequence of the
modeling, current and voltage signals, which belong to
healthy and arc occurred conditions, are obtained. These
signals are analyzed to detect the condition of the
pantograph-catenary system as healthy or faulty. Stransform
is applied to these signals and occurred arcs are
detected.A pantograph-catenary system transmits the
electric energy that an electrified train needs from electric
power substation to train. Pantograph catenary system is
extremely important in order to carry out continuous of the
transmission. In this study, a model and image processing
based arc detection system is proposed. Arcs occurred in a
video frame are detected by using image processing
techniques. Data obtained from a sequence of frames are
used to model the arc. Arcs occurred in image sequences are
modelled during modeling stage. As consequence of the
modeling, current and voltage signals, which belong to
healthy and arc occurred conditions, are obtained. These
signals are analyzed to detect the condition of the
pantograph-catenary system as healthy or faulty. Stransform
is applied to these signals and occurred arcs are
detected