Abstract
This paper describes a neural network design and its simulation results for fault diagnosis for thyristor converters and the HVDC power system. Fault diagnosis is carried out by mapping input data pattern, which represent the behaviour of the system, to one or more fault conditions. The behaviour of the converters is described in terms of the time varying patterns of conducting thyristors, pulse zone periods, voltage zone periods and ac & dc fault characteristics.
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