WIT Press


Automatic Processing Analysis Of Infrared Images For Monitoring Pantograph Catenary Interactions

Price

Free (open access)

Paper DOI

10.2495/CMEM070801

Volume

46

Pages

10

Published

2007

Size

982 kb

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.