Please use this identifier to cite or link to this item: http://dspace.univ-bouira.dz:8080/jspui/handle/123456789/12411
Title: Stochastic Estimation Methods for Induction Motor Transient Thermal Monitoring Under Non Linear Condition
Authors: Mellah, Hacene
Hemsas, KAMEL EDDINE
Keywords: Induction Motor; Thermal Modelling; Estimation Techniques; Thermal Monitoring.
Issue Date: 2012
Publisher: Université Akli Mohand Oulhadj-Bouira
Abstract: The induction machine, because of its robustness and low-cost, is commonly used in the industry. Nevertheless, as every type of electrical machine, this machine suffers of some limitations. The most important one is the working temperature which is the dimensioning parameter for the definition of the nominal working point and the machine lifetime. Due to a strong demand concerning thermal monitoring methods appeared in the industry sector. In this context, the adding of temperature sensors is not acceptable and the studied methods tend to use sensorless approaches such as observators or parameters estimators like the extended Kalman Filter (EKF). Then the important criteria are reliability, computational cost ad real time implementation.
URI: http://dspace.univ-bouira.dz:8080/jspui/handle/123456789/12411
Appears in Collections:Articles

Files in This Item:
File Description SizeFormat 
mellah.12.pdf354,85 kBAdobe PDFView/Open


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.