A novel scheme for current sensor faults diagnosis in the stator of a DFIG described by a T-S fuzzy model

Measurement ◽  
2016 ◽  
Vol 91 ◽  
pp. 680-691 ◽  
Author(s):  
Samir Abdelmalek ◽  
Linda Barazane ◽  
Abdelkader Larabi ◽  
Maamar Bettayeb
2017 ◽  
Vol 17 (1) ◽  
pp. 49-51 ◽  
Author(s):  
Mohamed BOUAKOURA ◽  
Nasreddine NAĂŹT-SAĂŹD ◽  
Mohamed-Said NAĂŹT-SAĂŹD

Author(s):  
Guillermo Bisheimer ◽  
Cristian De Angelo ◽  
Jorge Solsona ◽  
Guillermo Garcia
Keyword(s):  

Sensors ◽  
2019 ◽  
Vol 19 (3) ◽  
pp. 571 ◽  
Author(s):  
Mateusz Dybkowski ◽  
Kamil Klimkowski

This paper describes a Fault Tolerant Control structure for the Induction Motor (IM) drive. We analyzed the influence of current sensor faults on the properties of the vector-controlled IM drive system. As a control algorithm, the Direct Field Oriented Control structure was chosen. For the proper operation of this system and for other vector algorithms, information about the stator currents components is required. It is important to monitor and detect these sensor faults, especially in drives with an increased safety level. We discuss the possibility of the neural network application in detecting stator current sensor faults in the vector control algorithm. Simulation and experimental results for various drive conditions are presented.


2020 ◽  
Vol 35 (5) ◽  
pp. 5267-5278 ◽  
Author(s):  
Zhan Li ◽  
Pat Wheeler ◽  
Alan Watson ◽  
Alessandro Costabeber ◽  
Borong Wang ◽  
...  

2017 ◽  
Vol 67 ◽  
pp. 183-192 ◽  
Author(s):  
Yunkai Wu ◽  
Bin Jiang ◽  
Ningyun Lu ◽  
Hao Yang ◽  
Yang Zhou

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