Description: Les progrès réalisés en matière d électronique de puissance, de circuits de commande et en
automatique ont contribué à l utilisation grandissante des machines asynchrones dans les
systèmes d entraî nements électriques. Le recours aux machines asynchrones est surtout lié à
leur robustesse, leur puissance massique et à leur coû t de fabrication. Leur maintenance et
leur surveillance permettent de rentabiliser les installations. Il est donc important de
développer des outils de diagnostic pour détecter de manière précoce les défauts pouvant
apparaî tre dans ces machines.
Notre approche est basée sur l utilisation des méthodes de reconnaissance des formes. Un
vecteur de paramètres, appelé vecteur forme, est extrait de chacune des mesures effectuées sur
la machine. Les règles de décisions utilisées permettent de classer les observations, décrites
par le vecteur forme, par rapport aux différents modes de fonctionnement connus avec ou sans
défaut. Platform: |
Size: 2124800 |
Author:lakhdar |
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Description: vibration poutre, diagnostic, rdm, bearing, gearbox, induction machine, my target is to make vibratory analysis and to extrac default origine frome current and vibration signal Platform: |
Size: 155648 |
Author:SAADAOUI |
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Description: 一篇很好的关于机器视觉的论文，包含了光学自动识别，模式识别，以及自动控制系统。神光-III诊断包瞄准指示器光学系统的设计和研究-A very good paper on machine vision, including the optical auto recognition, pattern recognition, and automatic control system. SG-III diagnostic kits targeting indicator of the optical system design and research Platform: |
Size: 196608 |
Author:jiabaoyu |
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Description: Estimation des parametres et des etats de la machine asynchrone en vue du
diagnostic des defauts rotoriques Platform: |
Size: 1587200 |
Author:djoo djamel |
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Description: 频谱选取，一般用于后续向量机的诊断的特征。进行了频谱分析后对每个频带的能量进行分离开。-Spectral selection, generally for subsequent diagnostic feature vector machine. Spectrum analysis conducted after the energy of each frequency band to leave. Platform: |
Size: 1024 |
Author:caixiaosheng |
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Description: Modele de la machine asynchrone sous l environnement Matlab/Simulink ainsi que avec les parametres de la MAS. Un bon modele pour les travaux de diagnostic des entrainements électriques Platform: |
Size: 115712 |
Author:khalid |
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Description: The main problem in dustrial application of bearing vibration diagnostics is the masking of informative
bearing signal by machine noise. The vibration signal of the rolling bearing is often covered or concealed
by other structural vibrations sources, such as gears. Although a number of vibration diagnostic
techniques have been developed over the last several years, in many cases these methods are quite complicated
in use or only effective at later stages of damage development. This paper presents an EMD-based
rolling bearing diagnosing method that shows potential for bearing damage detection at a much earlier
stage of damage development
-The main problem in industrial application of bearing vibration diagnostics is the masking of informative
bearing signal by machine noise. The vibration signal of the rolling bearing is often covered or concealed
by other structural vibrations sources, such as gears. Although a number of vibration diagnostic
techniques have been developed over the last several years, in many cases these methods are quite complicated
in use or only effective at later stages of damage development. This paper presents an EMD-based
rolling bearing diagnosing method that shows potential for bearing damage detection at a much earlier
stage of damage development
Platform: |
Size: 1056768 |
Author:唐建 |
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Description: 用差分算法对在线惯序极限学习机的输入权值和偏置进行优化（本程序只限激励函数为sig），其学习时间比极限学习机分批进行学习总共的时间有所提升，诊断精度也提高了。-Algorithm using differential input weights and the bias line Extreme Learning Machine sequencer used to optimize (this program only excitation function for sig), its learning time than the Extreme Learning Machine Learning batches total time has improved diagnostic accuracy also increased. Platform: |
Size: 10240 |
Author:MHwu |
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Search - diagnostic machine