The analysis of circuit breakers kinematics characteristics using the artificial neural networks

  • Authors:

  • Maricel Adam;Adrian Baraboi;Catalin Pancu;Sorin Pispiris

  • Affiliations:

  • Power Systems Department, Faculty of Electrical Engineering, "Gh. Asachi" Technical University, Iasi, Romania;Power Systems Department, Faculty of Electrical Engineering, "Gh. Asachi" Technical University, Iasi, Romania;Power Systems Department, Faculty of Electrical Engineering, "Gh. Asachi" Technical University, Iasi, Romania;Power Systems Department, Faculty of Electrical Engineering, "Gh. Asachi" Technical University, Iasi, Romania

  • Venue:
  • WSEAS Transactions on Circuits and Systems
  • Year:
  • 2009

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Abstract

The paper presents the required parameters in the evaluation of the technical state for the High Voltage (HV) circuit breakers. It details some aspects regarding the influence of the kinematics characteristics to the circuit breakers performances. Also, it presents a possibility to use the artificial neural networks (ANN) in the analysis of the circuit breakers kinematics characteristics, in order to diagnostic their technical state. The required database necessary for learning of ANN has determined through the modelling of the mechanical system of movement transmission, using the systems of electrical nature, with RLC elements.