Volume 25, Issue 2, January 2019, Pages 800–808
Abdelhakim Boukar1 and Nacer Hamzaoui2
1 Department of Mechanical Engineering, National Higher Institute of Sciences and Technicals of Abeche, BP 130 Abeche, Chad
2 Département de Génie Mécanique Conception, Institut National des Sciences Appliquées de Lyon, France
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.
In this paper, we evaluate several criteria of vibration analysis signal in the temporal field. The objective is to evaluate their ability to detect a single or multiple fault, their ability to evaluate the severity of a bearing fault, and their ability to detect sound gearing or faulty gearing in different fault configurations created on the gear and bearing mounted on an experimental test stand. In order to evaluate the robustness of each criterion, operating parameters of the machines are taking into account in the experimental design to carry out tests under various conditions of use of the machine. We take into account parameters such as speed and load that we experiment different values to determine their influences on the criteria studied. If we identify the criterion under these conditions, then it is very likely that this is the appropriate criterion to detect the type of defect involved.
Author Keywords: Monitoring, vibration analysis, fault detection, scalar indicators.
Abdelhakim Boukar1 and Nacer Hamzaoui2
1 Department of Mechanical Engineering, National Higher Institute of Sciences and Technicals of Abeche, BP 130 Abeche, Chad
2 Département de Génie Mécanique Conception, Institut National des Sciences Appliquées de Lyon, France
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
In this paper, we evaluate several criteria of vibration analysis signal in the temporal field. The objective is to evaluate their ability to detect a single or multiple fault, their ability to evaluate the severity of a bearing fault, and their ability to detect sound gearing or faulty gearing in different fault configurations created on the gear and bearing mounted on an experimental test stand. In order to evaluate the robustness of each criterion, operating parameters of the machines are taking into account in the experimental design to carry out tests under various conditions of use of the machine. We take into account parameters such as speed and load that we experiment different values to determine their influences on the criteria studied. If we identify the criterion under these conditions, then it is very likely that this is the appropriate criterion to detect the type of defect involved.
Author Keywords: Monitoring, vibration analysis, fault detection, scalar indicators.
Abstract: (french)
Dans ce document, nous évaluons plusieurs critères d’analyse des signaux de vibrations dans le domaine temporel en vue d’évaluer leur capacité à détecter un défaut simple ou multiple, leur capacité à évaluer la gravité d’un défaut de roulement, et encore leur capacité à détecter un engrènement sain ou un engrenage défectueux dans différentes configurations de défauts créés sur l’engrenage et sur le roulement montés sur un banc d’essai expérimental. Dans l’optique d’évaluer la robustesse de chaque critère, des paramètres de fonctionnement des machines sont pris en compte dans le plan d’expériences pour réaliser des essais dans des conditions variées d’utilisation de la machine. Nous prenons en compte des paramètres tels que la vitesse et la charge que nous expérimentons différentes valeurs pour déterminer leurs influences sur les critères étudiés. Si l’on identifie le critère dans ces conditions, il est alors fort probable que c’est le critère approprié pour détecter le type de défaut concerné.
Author Keywords: Surveillance, analyse vibratoire, détection de défauts, indicateurs scalaires.
How to Cite this Article
Abdelhakim Boukar and Nacer Hamzaoui, “Evaluation des indicateurs de surveillance par analyse vibratoire : Application aux engrenages et roulements,” International Journal of Innovation and Applied Studies, vol. 25, no. 2, pp. 800–808, January 2019.
