A novel identification technique for the characterization of an electrical apparatus is presented. The approach is based on two multi-valued neuron neural networks operating in a joined architecture able to extract geometrical displacements or insulation changes, not directly accessible or measurable. The inputs of the neural system are the samples of the frequency response on a given significant band, while the outputs represent the estimation of one or more geometrical parameters or other features related to the material properties. The method uses a Frequency Response Analysis (FRA) approach in order to preprocess the data to present to the net.
A double neural network for interpretation of the frequency response in the electrical equipments / F. Grasso; A. Luchetta; S. Manetti; M. C. Piccirilli. - ELETTRONICO. - (2012), pp. 226-231. (Intervento presentato al convegno 6th IEEE International Conference on Intelligent Systems (IS 2012) tenutosi a Sofia, Bulgaria nel settembre 2012) [10.1109/IS.2012.6335140].
A double neural network for interpretation of the frequency response in the electrical equipments
GRASSO, FRANCESCO;LUCHETTA, ANTONIO;MANETTI, STEFANO;PICCIRILLI, MARIA CRISTINA
2012
Abstract
A novel identification technique for the characterization of an electrical apparatus is presented. The approach is based on two multi-valued neuron neural networks operating in a joined architecture able to extract geometrical displacements or insulation changes, not directly accessible or measurable. The inputs of the neural system are the samples of the frequency response on a given significant band, while the outputs represent the estimation of one or more geometrical parameters or other features related to the material properties. The method uses a Frequency Response Analysis (FRA) approach in order to preprocess the data to present to the net.File | Dimensione | Formato | |
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