Resumo:
The purpose of this dissertation is to present the development of a system
capable of detecting incipient malfunction and also verify the correct
operation of opening and closing of high voltage disconnectors thru digital
analysis of the torque curve supplied by the drive engine during the
maneuvers of the disconnector, surpassing the difficulties involved with the
direct monitoring of the contacts. This system will be based on the use of
dedicated devices to the Digital Signals Processing (DSP's) associated to
the algorithms of Artificial Neural Networks, for pattern recognitions of
recurrent malfunction during the maneuvers of the high voltage
disconnectors. The signals to be processed by the DSP will be the values of
the torque of the drive engine, calculated by the immediate values of the
electric power supplied. The real-time analysis of the curve of the torque
supplied by the engine during the operations of opening and closing will
make possible for an indirect monitoring of the position of the main
contacts of the high power switch, increasing the trustworthiness of the
electrical system’s operation. The information supplied by the detection
system of malfunction will allow a more efficient preventive maintenance
of the disconnectors, based on the indication of misaligned or broken
components in the mechanical system of power switch.
