Design and implementation of automatic fault signal indentification software / Chams Eddine Nasri

Public ISBD Titre : Design and implementation of automatic fault signal indentification software Type de document : texte manuscrit Auteurs : Chams Eddine Nasri, Auteur ; Khalil Benmouiza, Directeur de thèse Editeur : Laghouat : Université Amar Telidji - Faculté de technologie Année de publication : 2019 Importance : 55 p. Format : 30 cm. Note générale : option : Automatic and systems Langues : Français Mots-clés : Detection  Faults  Identification  artificial neural network  GUI Résumé : Signal identification is a necessary part of any system implementation; it helps to understand and analysis the system outputs. However, these signals can be erroneous in the case of the presence of faults. Several devices can overcome this problem. However, they are high cost ones. Hence, we propose in this dissertation a design and implementation of a Matlab application to read and identify the signal faults. At the first stage, random signals are selected and classified as healthy ones. At the second stage, an identification of possible occurrence of faults is detected using artificial neural network and shown by the developed software. Finally, this can help to minimize the maintenance cost and time for any working device note de thèses : Memoire de Master Design and implementation of automatic fault signal indentification software [texte manuscrit] / Chams Eddine Nasri, Auteur ; Khalil Benmouiza, Directeur de thèse . - Laghouat : Université Amar Telidji - Faculté de technologie, 2019 . - 55 p. ; 30 cm. option : Automatic and systems Langues : Français Mots-clés : Detection  Faults  Identification  artificial neural network  GUI Résumé : Signal identification is a necessary part of any system implementation; it helps to understand and analysis the system outputs. However, these signals can be erroneous in the case of the presence of faults. Several devices can overcome this problem. However, they are high cost ones. Hence, we propose in this dissertation a design and implementation of a Matlab application to read and identify the signal faults. At the first stage, random signals are selected and classified as healthy ones. At the second stage, an identification of possible occurrence of faults is detected using artificial neural network and shown by the developed software. Finally, this can help to minimize the maintenance cost and time for any working device note de thèses : Memoire de Master

Réservation

Réserver ce document

Exemplaires

Code-barres	Cote	Support	Localisation	Section	Disponibilité
THA 09-03	THA 09-03	Livre externe	BIBLIOTHEQUE DE FACULTE DE TECHNOLOGIE	Genie electrique (TEC)	Disponible

---

page 1/1