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Stochastic Estimation Methods for Induction Motor Transient Thermal Monitoring Under Non Linear Condition
Version 2 2018-10-31, 16:54
Version 1 2017-11-25, 17:14
journal contribution
posted on 2017-11-25, 17:14 authored by Hacene mellahHacene mellahThe 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.
