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Article Dans Une Revue European Physical Journal: Applied Physics Année : 2012

ANN and wavelet-based discrimination technique between discharge currents in transformer mineral oils

Résumé

This paper is aimed at the analysis of positive pre-breakdown currents triggered in mineral transformer oil submitted to 50 Hz alternating overvoltages. Different shapes of streamer currents and electrical discharges have been recorded to develop a discrimination technique based on an Artificial Neural Network (ANN) and Wavelet analysis of these currents. This enables us to address a complementary diagnosis tool that can serve as an online transformer monitoring and protection.

Dates et versions

hal-00747267 , version 1 (30-10-2012)

Identifiants

Citer

F. Aberkane, Hocine Moulai, Azzeddine Nacer, F. Benyahia, Abderrahmane Beroual. ANN and wavelet-based discrimination technique between discharge currents in transformer mineral oils. European Physical Journal: Applied Physics, 2012, 58 (2), online (6 p.). ⟨10.1051/epjap/2012120050⟩. ⟨hal-00747267⟩
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