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Communication Dans Un Congrès Année : 2019

A Belief Function Solution for Stator Insulation Robustness Study

Résumé

This paper proposes a model-based decision taking solution for electrical machines winding insulation robustness study. The solution is based on the Belief Function (BF) theory. It is processed in two main steps: a first one aims to learn Weibull model parameters from some labeled aging Partial Discharge Inception Voltage (PDIV) data. Then a second classification step separates some unlabeled PDIV data according to the learnt Weibull models. The classification results can give information on the robustness and the reliability of the Electrical Insulation System (EIS) under a thermal constraint.
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Dates et versions

hal-04294225 , version 1 (19-11-2023)

Identifiants

Citer

Samir Hachour, Sonia Ait-Amar, François Delmotte, Gabriel Vélu. A Belief Function Solution for Stator Insulation Robustness Study. 2019 9th International Conference on Power and Energy Systems (ICPES), Dec 2019, Perth, Australia. pp.1-5, ⟨10.1109/ICPES47639.2019.9105428⟩. ⟨hal-04294225⟩
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