Volume 27, Issue 1, August 2019, Pages 190–201
Mavuela Maniansa Richard1
1 Institut Supérieur Pédagogique et Techniques de Kinshasa, RD Congo
Original language: French
Copyright © 2019 ISSR Journals. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Through an experiment carried out at the ISTA Ndolo Mechanics Laboratory, we want to note that noise, generally considered a disruptive signal in signal processing, can provide useful information in the maintenance Rotating machines. We used an asynchronous engine that we operated it in the Holy State (defect-free) and in the state of progressive defects. The generated signals were recorded and analyzed using LabView and Matlab software, which we were able to show the defect-related change in spectral mapping.
Author Keywords: Noise, signal processing, asynchronous motor, signal acquisition.
Mavuela Maniansa Richard1
1 Institut Supérieur Pédagogique et Techniques de Kinshasa, RD Congo
Original language: French
Copyright © 2019 ISSR Journals. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Abstract
Through an experiment carried out at the ISTA Ndolo Mechanics Laboratory, we want to note that noise, generally considered a disruptive signal in signal processing, can provide useful information in the maintenance Rotating machines. We used an asynchronous engine that we operated it in the Holy State (defect-free) and in the state of progressive defects. The generated signals were recorded and analyzed using LabView and Matlab software, which we were able to show the defect-related change in spectral mapping.
Author Keywords: Noise, signal processing, asynchronous motor, signal acquisition.
Abstract: (french)
A travers une expérimentation effectuée au laboratoire de mécanique de l’ISTA Ndolo, nous voulons relever que le bruit, généralement considéré comme un signal perturbateur en traitement des signaux, peut apporter les renseignements utiles dans la maintenance des machines tournantes. Nous avons utilisé un moteur asynchrone que nous l’avons fait fonctionner en état saint (sans défaut) et en état des défauts progressifs. Les signaux générés ont été enregistrés et analysé grâce au logiciel LabView et Matlab, dont nous avons pu montrer le changement lié aux défauts au niveau de la cartographie spectrale.
Author Keywords: bruit, traitement du signal, moteur asynchrone, acquisition des signaux.
How to Cite this Article
Mavuela Maniansa Richard, “Apport de bruit de fond dans la détection des défauts dans le moteur asynchrone,” International Journal of Innovation and Applied Studies, vol. 27, no. 1, pp. 190–201, August 2019.
