Automatic Processing Analysis Of Infrared
Images For Monitoring Pantograph
Catenary Interactions
Author(s)
A. Balestrino, O. Bruno, A. Landi & L. Sani
Abstract
This paper shows a new sensor based on infrared images for monitoring
pantograph catenary interaction. Due to the displacement of the contact point
with respect to the reference position an image processing analysis of each frame
is performed by using the Hough transformation in order to detect automatically
monitoring variables of interest (e.g. temperature at the contact point and the
position of the support towers along the railway line).
Keywords: infrared image, pantograph-catenary interaction, Hough
transformation, segment detection.
1 Introduction
In order to improve the maintenance activities, a relevant objective for railway
companies is the development of new sensors for a continuous monitoring of the
quality of the current transmission between the overhead line and the collector
strips of the pantograph. This problem is grown crucial with the introduction of
the European Standard 96/48/CE about the interoperability. It is well-known that
a poor electric contact between is the origin of arcing between the overhead wire
and the collector strips of the pantograph. Several investigations have shown that
the main damages of the overhead contact line installations are caused by the
short term thermal effect of these arcing. The process which leads to the
deterioration of the contact wire is associated with a localised recrystallization of
the copper (i.e. a transaction to a stable crystalline microstructure with loss of all
physical characteristics typical of the cold-drawn) and the formation of pits and
dents on the surface. Unfortunately high speeds worsen the problem and a
monitoring system has to be set up and tested to plan maintenance activity.
Keywords
infrared image, pantograph-catenary interaction, Hough
transformation, segment detection.
Related Book
Other papers in this volume
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