Détection et localisation de défaillances sur un entraînement électrique
type: Dataset
description: The purpose of this thesis is to provide solutions for the fault détection and isolation in electrical drives and especialîy induction drives. The considered faults may affect the machine, the converter, the mechanical part and the sensors. The variable speed drive is controlled by a rotor flux vector control loop and a speed loop. Using the results of the fault characterisation, obtained from simulations or experiments, two approaches are proposed. The first one is based on signal processing tools. The variable speed problem is overcome : measures are sampled synchronously with the mechanical position or the rotating field position. The second approach is based on analytical redundancy tools for fault détection and localisation purpose. Extended state observers (extended Kalman filter, model référence adaptive system) are studied and tested experimentally. In order to carry out the fault isolation, unknown input observers are proposed. Approaches are introduced to constitute a global monitoring System combining the developed tools. Some are based on logicat combinations and others on neural networks.
landing page: https://theses.hal.science/tel-00689856
keyword: caracterisation-des-defauts
keyword: detection-et-localisation-de-defauts
keyword: infoeu-reposemanticsdoctoralthesis
keyword: moteur-asynchrone
keyword: redondance-analytique
keyword: spinrjengineering-sciences-physicselectric-power
keyword: theses
keyword: traitement-du-signal
issued: 2026-05-21T06:01:16.665380
modified: 2026-05-21T06:01:16.665384
language: fr
contact point: Organization
  fn: CCSD

test_moissonnage_selune
type: Agent

Détection et localisation de défaillances sur un entraînement électrique
type: Distribution
format: HTML
access URL: https://theses.hal.science/tel-00689856
issued: 2026-05-21T06:01:16.668168
modified: 2026-05-21T06:01:16.644062