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MLMVNN FOR PARAMETERS FAULTS DETECTION IN A DC-DC BOOST CONVERTER

I. Baldanzi, M. Catelani , L. Ciani , M. K. Kazimierczuk , A. Luchetta , S. Manetti , A. Reatti
  • Abstract:
    This paper aims to propose an effective approach in the fault diagnosis based on neural networks. In particular, a MultiLayer based on MultiValued Neuron artificial Neural Network (MLMVNN) with a complex QR-decomposition is used to identify parameters values changing (i.e. faults detection) on a Boost converter starting from voltages and currents in steady state measurements.
  • Keywords:
    neural networks, boost converter, faults detection, diagnostics
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  • DOI:
    _unreg_wc-2015.232

Event details:

  • IMEKO TC:
  • Event name:
    XXI IMEKO World Congress
  • Title:

    Measurement in Research and Industry

  • Place:
    Prague, CZECH REPUBLIC
  • Time:
    30 August 2015 - 04 September 2015