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Contribution à la maintenance prévisionnelle en ligne des machines électriques tournantes par l'analyse des signaux liés aux phénomènes physiques s'y rapportant

Abstract : The aim of this research is the predictive maintenance of induction rotating machines. They are based on the knowledge of the physical behavior of the different parts of the machine. The first chapter presents the induction machine with theoretical models. The second chapter describes the classical tools on signal processing in a first part and two tools developed during the thesis : a scalar indicator based on a conditional windowing and a time-frequency distribution in narrow band. The chapter III presents a study on rotor cage default. We applied on this case the tools developed in the chapter II. The chapter deals with bearing defaults. It has the same structure as the chapter II. The chapter V deals with insulation and especially with the partial discharges. We present different types of filtering in time-frequency domain. We are suggesting a scalar indicator. An appendix focuses on different algorithms based on the research presented in the thesis.
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Theses
File URL :
http://docnum.univ-lorraine.fr/prive/SCD_T_2002_0145_CAIRONI.pdf
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https://hal.univ-lorraine.fr/tel-01746683
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Submitted on : Thursday, March 29, 2018 - 10:42:38 AM
Last modification on : Monday, October 5, 2020 - 3:26:24 PM

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  • HAL Id : tel-01746683, version 1

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Cyrille Caironi. Contribution à la maintenance prévisionnelle en ligne des machines électriques tournantes par l'analyse des signaux liés aux phénomènes physiques s'y rapportant. Autre [cond-mat.other]. Université Henri Poincaré - Nancy 1, 2002. Français. ⟨NNT : 2002NAN10145⟩. ⟨tel-01746683⟩

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