Identification of the Asynchronous Electric Motor Defects Based on Neural Networks

Author(s):  
Skorobogatchenko Dmitry ◽  
Shcherbakov Maxim ◽  
Zelyakovskiy Dmitry
2019 ◽  
Vol 124 ◽  
pp. 02017
Author(s):  
A. Andreev ◽  
M. Andreev ◽  
D. Kolesnihenko ◽  
R.R. Dyganova ◽  
G.T. Merzadinova ◽  
...  

The authors propose an algorithm for identifying the parameters of a controlled asynchronous electric drive in real time, which provides calculation of stator and rotor resistances which change as a function of temperature. The algorithm is based on the analysis of a current tube of electric motor phase with the subsequent calculation of resistances.


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