MLMVNN FOR PARAMETERS FAULTS DETECTION IN A DC-DC BOOST CONVERTER |
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| 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
- Download:
- IMEKO-WC-2015-TC10-232.pdf
- DOI:
- -
- Event details
- Event name:
- XXI IMEKO World Congress
- Title:
Measurement in Research and Industry
- Place:
- Prague, CZECH REPUBLIC
- Time:
- 30 August 2015 - 04 September 2015