Abstract:
Pantograph-catenary system is the most important
component for transmitting the electric energy to the train. If the
faults have not detected in an early stage, energy can disrupt the
energy and this leads to more serious faults. The arcs occurred in
the contact point is the first step of a fault. When they are
detected in an early stage, catastrophic faults and accidents can
be avoided. In this study, a new approach has been proposed to
detect arcs in pantograph-catenary system. The proposed method
applies a threshold value to each video frame and the rate of
sudden glares are converted to time series. The phase space of the
obtained time series is constructed and the arc event is found by
using particle swarm optimization. The proposed method is
analyzed by using real pantograph-videos and good result have
been obtained.
