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Article Dans Une Revue European Safety and Reliability Conference- ESREL 2010 Année : 2010

Electrical cables diagnostics using an experimental dataset of Partial Discharge measurements containing contradictory patterns

Résumé

Partial Discharge (PD) measurements have been proposed as a relatively economic and simple-to-apply experimental technique for retrieving information on the health state of an electrical cable. A set of PD measurements have been collected by Enea Ricerca sul Sistema Elettrico (ERSE), for building a diagnos-tic system of electrical cable health state. These experimental data may contain contradictory information which remarkably reduce the performance of the state classifier. In the present work, a novel technique based on the Adaboost algorithm is proposed for identifying contradictory PD patterns within an a priori analysis aimed at improving the diagnostic performance. Adaboost is a bootstrap-inspired, ensemble-based algorithm which has been effectively used for addressing classification problems.

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Dates et versions

hal-00721026 , version 1 (26-07-2012)

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  • HAL Id : hal-00721026 , version 1

Citer

Piero Baraldi, M. Compare, Enrico Zio, M. de Nigris, G. Rizzi. Electrical cables diagnostics using an experimental dataset of Partial Discharge measurements containing contradictory patterns. European Safety and Reliability Conference- ESREL 2010, 2010, pp.1 - 5. ⟨hal-00721026⟩
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