Determination of neural-network topology for partial discharge pulse pattern recognition

A time-series approach has been employed to devise neural-network topologies for time dependent partial discharge pulse pattern recognition applications. The cascaded output neural-network structure was found to provide the highest success rate in differentiating between two different partial discha...

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Veröffentlicht in:	IEEE transaction on neural networks and learning systems 2002-03, Vol.13 (2), p.446-456
Hauptverfasser:	Salama, M.M.A., Bartnikas, R.
Format:	Artikel
Sprache:	eng
Schlagworte:	Dielectrics and electrical insulation Discharge Fault location Gas insulation Geometry Multi-layer neural network Network topology Neural networks Partial discharges Pattern recognition Thermal stresses Topology
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Beschreibung
Zusammenfassung:	A time-series approach has been employed to devise neural-network topologies for time dependent partial discharge pulse pattern recognition applications. The cascaded output neural-network structure was found to provide the highest success rate in differentiating between two different partial discharge patterns. This was accomplished by utilizing the indexed feature of the first stage output as one of the inputs into the second stage of the cascaded neural network.
ISSN:	1045-9227 2162-237X 1941-0093 2162-2388
DOI:	10.1109/72.991430