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21/02/2020 - Antoine EL HAYEK

by Laurent Krähenbühl - published on , updated on

Mr Antoine El Hayek defends his PhD on Feb. 21, 2020 at 10:00 AM.
Place : Unvi. Library, UCB Lyon 1.

Title: Aging analysis, lifetime estimation and health monitoring method of electrolytic capacitors.

Jury :
M. Nicolas Patin - HDR - Université de Technologie de Compiègne, Rapporteur
Prof. Maria Pietrzak-David - Institut National Polytechnique de Toulouse, Rapporteur
Prof. Geneviève Duchamp – Université de Bordeaux, Examinatrice
M. Frédéric Perisse - Université Clermont Auvergne, Examinateur
Prof. Pascal Venet - UCB Lyon 1, Directeur de thèse
Prof. Guy CLerc, UCB Lyon 1, co-Directeur de thèse
Mme Mitova, Radoslava - Schneider Electric, co-encadrante industrielle
Prof. Ali Sari - UCB Lyon 1, co-encadrant
M. Wang, Miao-xin - Schneider Electric, co-encadrant industrielle, invité

Abstract :
With the emergence of new technologies, we are witnessing the development of techniques to improve dependability and in particular the maintainability of static energy converters and their components.
In these conversion systems, the electrolytic capacitors, ensuring a stable DC network, represent an important element in the AC / DC and / or DC / AC electrical energy conversion chain. In operation, they are subject to electrical and environmental constraints (ambient temperature, current ripple, applied voltage, humidity, vibrations, etc.). These capacitors undergo redox reactions, which consume and evaporate electrolyte. The lifetime of the capacitor is thus affected. Therefore, it is interesting to estimate the state of health of these components in order to be able to schedule maintenance operations. It is therefore useful to develop tools for applying conditional monitoring.
In the context of this work, the objective is to propose a system for monitoring the state of health of the electrolytic capacitors.
We have therefore developed evolution models of their aging indicators which are the variations of the equivalent series resistance ESR and equivalent capacity C. The prediction algorithm is based on the evolution of these indicators to estimate the state remaining life of the capacitor module. The real-time monitoring system developed does not include additional sensors to those already existing in the energy converters considered and does not require prior accelerated aging tests.
In this manuscript, we first detail the experimental procedure for accelerated aging, the different stages of characterization, the aging process and the associated results. We propose a simple and effective method to identify ESR and C aging indicators in real time. The proposed algorithm is based on time scaling and on a reference frame of temperature and voltage constraints. Subsequently, the results of the simulation of the surveillance system and the forecast of the selected state of health are presented. Experimental tests have been carried out on capacitors integrated into an industrial speed controller with a power of 15 kW. The algorithms implemented and their respective implementation constraints, for a real-time application, are detailed.

Keywords :
Electrolytic capacitors, Aging, Lifetime estimation, State of Health, Diagnosis, Prognosis, Conditional monitoring, Predictive maintenance

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