[ Approche statistique et fréquentielle corrélées avec le filtre de Wiener pour un débruitage et une détection des défauts des machines asynchrones ]
Volume 39, Issue 3, May 2023, Pages 1260–1265
Jean Claude Mukaz Ilunga1
1 Institut Supérieur de Techniques Appliquées, Kinshasa, RD Congo
Original language: French
Copyright © 2023 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.
The electrical current signal can be seen as a useful signal, disturbed by a mechanical noise signal or other measurement noises. In this case, noise reduction methods such as the Wiener filter can provide solutions to detect mechanical defects. It will be assumed that the electrical signals are decorated with the rotation of the rotor and therefore of any mechanical event related to the rotation. This can be verified in the case of an asynchronous machine. This property is important for estimating the Wiener filter whose basic assumption is that the useful signal must be decorated with noise.
Author Keywords: Statistical, frequency, Wiener filter, denoise, asynchronous machine.
Volume 39, Issue 3, May 2023, Pages 1260–1265
Jean Claude Mukaz Ilunga1
1 Institut Supérieur de Techniques Appliquées, Kinshasa, RD Congo
Original language: French
Copyright © 2023 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
The electrical current signal can be seen as a useful signal, disturbed by a mechanical noise signal or other measurement noises. In this case, noise reduction methods such as the Wiener filter can provide solutions to detect mechanical defects. It will be assumed that the electrical signals are decorated with the rotation of the rotor and therefore of any mechanical event related to the rotation. This can be verified in the case of an asynchronous machine. This property is important for estimating the Wiener filter whose basic assumption is that the useful signal must be decorated with noise.
Author Keywords: Statistical, frequency, Wiener filter, denoise, asynchronous machine.
Abstract: (french)
Le signal courant électrique peut être vu comme un signal utile, perturbé par un signal bruit d’origine mécanique ou d’autre bruits de mesures. Dans ce cas de figure, les méthodes de réduction de bruit tel que le filtre de Wiener peuvent apporter des solutions pour détecter des défauts mécaniques. On supposera que les signaux électriques sont décorrélés de la rotation du rotor donc de tout événement mécanique lié à la rotation. Ce qui peut être vérifié dans le cas d’une machine asynchrone. Cette propriété est importante pour l’estimation du filtre de Wiener dont l’hypothèse de base est que le signal utile doit être décorrélé du bruit.
Author Keywords: Statistique, fréquentielle, filtre de Wiener, débruitage, machine asynchrone.
How to Cite this Article
Jean Claude Mukaz Ilunga, “Statistical and frequency approach correlated with Wiener filter for denoising and detection of defects of asynchronous machines,” International Journal of Innovation and Applied Studies, vol. 39, no. 3, pp. 1260–1265, May 2023.
